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• Mount external HD ubuntu 12.10

  - by Luigi Tiburzi

  Although it's an abundantly treated matter, I'm unable to find an answer valid for my needs. I had a 12.04 installation of ubuntu and I decided to install the 12.10. I copied (using GParted) the partition where my system was to an external hd where there is a windows partition. Then I installed the newest ubuntu version and now I want to take back some files (for example my .emacs) from that partition but when I try to mount it, it is not found as sdb and if I mount it from /dev/usb/hddev0 I don't get any output, only a blinking cursor, no errors, no output. I even tried to mount it as an ntfs disk but the result was the same. It's like the hd cannot be detected. So how can I access data to that disk? Could I get them from GParted terminal instead of Ubuntu one? Thanks

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• disk not accessible

  - by user107044

  i formatted my hard drive yesterday and it was working well even after the formatting. But when I restarted my system again , is is showing that the space is alloted to my files but they are inaccessible. I have even tried to unhide the files and folders, if they got hidden somehow. But nothing works. the hard drive is being shown empty but the properties are saying that it still conatins the data : http://imgur.com/ObjTE in the image, it is showing that the directory has only 1 file of size:4.8 kbps but the space being used by the drive is 11.6 GB. do suggest some solution.

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• Using Ubuntu to recover data from a crashed Windows install

  - by user289391

  I was using Windows on my laptop when suddenly the blue screen of death appeared and then laptop restarted and wrote for me this : Intel UNDI, PXE-2.1 (built 083) Copyright (C) 1997-200 Intel Corporation This Product is covered by one or more of the following patents: US5,307459, US5,434,872, US5732,094, US6579,884, US6115,776 and US6,327,625 Realtek PCIe FE Family Controller Series v120 (01/26/10) PXE-M0F: ExitingPXEROM. reboot failed I have Ubuntu on an external disk so I have now booted to that. Two questions: Any theories on what happened? How can I use Ubuntu to recovers my data from Windows install?

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• Lost my data after installing Ubuntu 12.10

  - by Robin92

  I've wanted to switch from Ubuntu 12.04 to 12.10 and downloaded proper ISO. During install I was asked if I wanted to reinstall Ubuntu. I used this option thinking that it will only delete all system files and install new ones. It turned out to be a mistake - it wipe my HDD from all partitions and created new one. I've lost all my data including personal and important photos from over 6 years. Is there a way I can recover entire partition (NTFS)? Moreover, I'm really angry with you Canonical that you could allowed that misleading desctiption to be included in a full release!

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• Accidentally dd'ed an image to wrong drive / overwrote partition table + NTFS partition start

  - by Kento Locatelli

  I screwed up and set the wrong output for dd when trying to copy a freenas iso, overwriting the wrong external hard drive. Ironically, I was trying to setup a freenas server for data backup... External drive is only used for data storage, system is entirely intact Drive had a single NTFS partition filing the entire device (2TB WD elements) Drive originally had an MBR partition table. Drive now shows as having a GPT, presumably from the freenas image. Drive was mounted at the time, with maybe a couple kB of data written/read after running dd Drive is just a few months old and healthy (regular SMART / fs checks) I have not reboot the OS (crunchbang) /proc/partition still holds the correct information (and has been stored) Have dd's output (records in / out / bytes) testdrive did not find any partitions on quick or deep search running photorec to recover the more important data (a couple recent plaintext files that hadn't been backed up yet). Vast majority of disk content ( 80%) is unnecessary media files. My current plan is to let photorec do it's thing, then recreate the mbr with gparted and use cfdisk to create another NTFS partition using the sector information from /sys/block/.../. Is that a good course of action (that is, a chance of success)? Or anything else I should try first? Possibly relevant information: dd if=FreeNAS-8.0.4-RELEASE-p3-x86.iso of=/dev/sdc: 194568+0 records in 194568+0 records out 99618816 bytes (100 MB) copied grep . /sys/block/sdc/sdc*/{start,size}: /sys/block/sdc/sdc1/start:2048 /sys/block/sdc/sdc1/size:3907022848 cat /proc/partitions: major minor #blocks name ** Snipped ** 8 32 1953512448 sdc 8 33 1953511424 sdc1 current fdisk -l output: WARNING: GPT (GUID Partition Table) detected on '/dev/sdc'! The util fdisk doesn't support GPT. Use GNU Parted. Disk /dev/sdc: 2000.4 GB, 2000396746752 bytes 255 heads, 63 sectors/track, 243201 cylinders Units = cylinders of 16065 * 512 = 8225280 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x00000000 Disk /dev/sdc doesn't contain a valid partition table

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• Augmenting your Social Efforts via Data as a Service (DaaS)

  - by Mike Stiles

  The following is the 3rd in a series of posts on the value of leveraging social data across your enterprise by Oracle VP Product Development Don Springer and Oracle Cloud Data and Insight Service Sr. Director Product Management Niraj Deo. In this post, we will discuss the approach and value of integrating additional “public” data via a cloud-based Data-as-as-Service platform (or DaaS) to augment your Socially Enabled Big Data Analytics and CX Management. Let’s assume you have a functional Social-CRM platform in place. You are now successfully and continuously listening and learning from your customers and key constituents in Social Media, you are identifying relevant posts and following up with direct engagement where warranted (both 1:1, 1:community, 1:all), and you are starting to integrate signals for communication into your appropriate Customer Experience (CX) Management systems as well as insights for analysis in your business intelligence application. What is the next step? Augmenting Social Data with other Public Data for More Advanced Analytics When we say advanced analytics, we are talking about understanding causality and correlation from a wide variety, volume and velocity of data to Key Performance Indicators (KPI) to achieve and optimize business value. And in some cases, to predict future performance to make appropriate course corrections and change the outcome to your advantage while you can. The data to acquire, process and analyze this is very nuanced: It can vary across structured, semi-structured, and unstructured data It can span across content, profile, and communities of profiles data It is increasingly public, curated and user generated The key is not just getting the data, but making it value-added data and using it to help discover the insights to connect to and improve your KPIs. As we spend time working with our larger customers on advanced analytics, we have seen a need arise for more business applications to have the ability to ingest and use “quality” curated, social, transactional reference data and corresponding insights. The challenge for the enterprise has been getting this data inline into an easily accessible system and providing the contextual integration of the underlying data enriched with insights to be exported into the enterprise’s business applications. The following diagram shows the requirements for this next generation data and insights service or (DaaS): Some quick points on these requirements: Public Data, which in this context is about Common Business Entities, such as - Customers, Suppliers, Partners, Competitors (all are organizations) Contacts, Consumers, Employees (all are people) Products, Brands This data can be broadly categorized incrementally as - Base Utility data (address, industry classification) Public Master Reference data (trade style, hierarchy) Social/Web data (News, Feeds, Graph) Transactional Data generated by enterprise process, workflows etc. This Data has traits of high-volume, variety, velocity etc., and the technology needed to efficiently integrate this data for your needs includes - Change management of Public Reference Data across all categories Applied Big Data to extract statics as well as real-time insights Knowledge Diagnostics and Data Mining As you consider how to deploy this solution, many of our customers will be using an online “cloud” service that provides quality data and insights uniformly to all their necessary applications. In addition, they are requesting a service that is: Agile and Easy to Use: Applications integrated with the service can obtain data on-demand, quickly and simply Cost-effective: Pre-integrated into applications so customers don’t have to Has High Data Quality: Single point access to reference data for data quality and linkages to transactional, curated and social data Supports Data Governance: Becomes more manageable and cost-effective since control of data privacy and compliance can be enforced in a centralized place Data-as-a-Service (DaaS) Just as the cloud has transformed and now offers a better path for how an enterprise manages its IT from their infrastructure, platform, and software (IaaS, PaaS, and SaaS), the next step is data (DaaS). Over the last 3 years, we have seen the market begin to offer a cloud-based data service and gain initial traction. On one side of the DaaS continuum, we see an “appliance” type of service that provides a single, reliable source of accurate business data plus social information about accounts, leads, contacts, etc. On the other side of the continuum we see more of an online market “exchange” approach where ISVs and Data Publishers can publish and sell premium datasets within the exchange, with the exchange providing a rich set of web interfaces to improve the ease of data integration. Why the difference? It depends on the provider’s philosophy on how fast the rate of commoditization of certain data types will occur. How do you decide the best approach? Our perspective, as shown in the diagram below, is that the enterprise should develop an elastic schema to support multi-domain applicability. This allows the enterprise to take the most flexible approach to harness the speed and breadth of public data to achieve value. The key tenet of the proposed approach is that an enterprise carefully federates common utility, master reference data end points, mobility considerations and content processing, so that they are pervasively available. One way you may already be familiar with this approach is in how you do Address Verification treatments for accounts, contacts etc. If you design and revise this service in such a way that it is also easily available to social analytic needs, you could extend this to launch geo-location based social use cases (marketing, sales etc.). Our fundamental belief is that value-added data achieved through enrichment with specialized algorithms, as well as applying business “know-how” to weight-factor KPIs based on innovative combinations across an ever-increasing variety, volume and velocity of data, will be where real value is achieved. Essentially, Data-as-a-Service becomes a single entry point for the ever-increasing richness and volume of public data, with enrichment and combined capabilities to extract and integrate the right data from the right sources with the right factoring at the right time for faster decision-making and action within your core business applications. As more data becomes available (and in many cases commoditized), this value-added data processing approach will provide you with ongoing competitive advantage. Let’s look at a quick example of creating a master reference relationship that could be used as an input for a variety of your already existing business applications. In phase 1, a simple master relationship is achieved between a company (e.g. General Motors) and a variety of car brands’ social insights. The reference data allows for easy sort, export and integration into a set of CRM use cases for analytics, sales and marketing CRM. In phase 2, as you create more data relationships (e.g. competitors, contacts, other brands) to have broader and deeper references (social profiles, social meta-data) for more use cases across CRM, HCM, SRM, etc. This is just the tip of the iceberg, as the amount of master reference relationships is constrained only by your imagination and the availability of quality curated data you have to work with. DaaS is just now emerging onto the marketplace as the next step in cloud transformation. For some of you, this may be the first you have heard about it. Let us know if you have questions, or perspectives. In the meantime, we will continue to share insights as we can.Photo: Erik Araujo, stock.xchng

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• Working with data and meta data that are separated on different servers

  - by afuzzyllama

  While developing a product, I've come across a situation where my group wants to store meta data for data entry forms (questions, layout, etc) in a different database then the database where the collected data is stored. This is mostly for security because we want to be able to have our meta data public facing, while keeping collected data as secure as possible. I was thinking about writing a web service that provides the meta information that the data collection program could access. The only issue I see with this approach is the front end is going to have to match the meta data with the collected data, which would be more efficient as a join on the back end. Currently, this system is slated to run on .NET and MSSQL. I haven't played around with .NET libraries running in SQL, but I'm considering trying to create logic that would pull from the web service, convert the meta data into a table that SQL can join on, and return the combined data and meta data that way. Is this solution the wrong way to approach the problem? Is there a pattern or "industry standard" way of bringing together two datasets that don't live in the same database?

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• How do I boot to a windows recovery partition from GRUB in a Toshiba computer?

  - by Andy Groff

  This should be simple but I cannot figure out how to do it. I've been dual booting ubuntu and vista for a while. About 8 months ago, I realized my windows partition got corrupt and does not boot. This wasn't a problem since I didn't need it anyways, but now I do need windows. Using the disk manager I can see a partition called Toshiba System Volume which is 1.6 GB and one called HDD Recovery which is 7.8 GB. I assume the second one is what I need and i'm not sure what the first one is for. Anyways, how do I boot to this one? Is it a matter of configuring GRUB to boot to it? Once I do boot to it will it let me only reformat my windows partition, or is it going to restore the entire hard drive to factory condition? I assume I'll get the general windows installer which lets me choose the partition but, as you can probably tell, I've never used a recover partition. Should I burn the contents of the partition to a disk and boot to that? Sorry if this is obvious but I'm confused and cannot figure this out.

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• Ubuntu Tools for recovering data from damaged USB Flash Drive ~ 10 Gb

  - by PREDA LUCIAN

  I have technical issues with my USB Flash Drive - JetFlash®V15 (TS16GJFV15) It's very critical situation because I can not see the data from it and I should get a way to recover them ASAP. So, in general, I have connected Non-stop that USB Flash Disk at my laptop. Was appear Power surges and when I was coming back, I saw that problem with it. Details regarding JetFlash®V15 (in present): - when I connect it on USP slot, the led is working intermittent and later on remain with constant light. - if I inspect the computer drivers, I found "Generic USB Flash Disk" (when the stick it's connected). - if I inspect "Properties", I can see next details: --- Type: unknown (application/octet-stream) --- Size: unknown --- Volume: unknown --- Accessed: unknown --- Modified: unknown I inspected that stick on 2 different computers (as well in different different USB Ports) and was the same problem, I can not see the content. I was checking with Windows 7 and Ubuntu 10.04 OS, but without success. With both OS was working before this issue. I'll appreciate an answer which will solve the problem, not an answer which will certify the problem. What I have to do, to recover the information form it (nearly 10 Gb)? I'm looking forward to be guided from a technical expert.

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• How do I boot to a windows recovery partition from GRUB on a Toshiba computer?

  - by Andy Groff

  This should be simple but I cannot figure out how to do it. I've been dual booting ubuntu and vista for a while. About 8 months ago, I realized my windows partition got corrupt and does not boot. This wasn't a problem since I didn't need it anyways, but now I do need windows. Using the disk manager I can see a partition called Toshiba System Volume which is 1.6 GB and one called HDD Recovery which is 7.8 GB. I assume the second one is what I need and i'm not sure what the first one is for. Anyways, how do I boot to this one? Is it a matter of configuring GRUB to boot to it? Once I do boot to it will it let me only reformat my windows partition, or is it going to restore the entire hard drive to factory condition? I assume I'll get the general windows installer which lets me choose the partition but, as you can probably tell, I've never used a recover partition. Should I burn the contents of the partition to a disk and boot to that? Sorry if this is obvious but I'm confused and cannot figure this out.

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• How do I reset a lost password (using recovery mode requires me to type the password)?

  - by user16441

  I need to reset my password. I have followed these steps: How do I reset a lost Administrative(root) password? However, then I go to "root" or "netroot" recovery options, it tells me: Give root password for maintenance (or type Control-D to continue) Clearly, I do not know the root password. If I type Control-D, I return to the list of options. From this page I read: Under chapter 'The Other Way': 4. Highlight the line that begins kernel and press 'e' to edit But in the grub configuration file I have no line that starts with 'kernel'. Only: setparams 'Ubuntu...' recordfail set gxfpayload... insmod part_msdos insmod ext2 set root=... search --no-floppy... linux /boot/vmlinuz-2.6.38... initrd /boot/initrd.img-2.6.... Those are all lines in my grub. Which line should I edit? Or is there another way to reset my password?

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• The Business case for Big Data

  - by jasonw

  The Business Case for Big Data Part 1 What's the Big Deal Okay, so a new buzz word is emerging. It's gone beyond just a buzzword now, and I think it is going to change the landscape of retail, financial services, healthcare....everything. Let me spend a moment to talk about what i'm going to talk about. Massive amounts of data are being collected every second, more than ever imaginable, and the size of this data is more than can be practically managed by today’s current strategies and technologies. There is a revolution at hand centering on this groundswell of data and it will change how we execute our businesses through greater efficiencies, new revenue discovery and even enable innovation. It is the revolution of Big Data. This is more than just a new buzzword is being tossed around technology circles.This blog series for Big Data will explain this new wave of technology and provide a roadmap for businesses to take advantage of this growing trend. Cases for Big Data There is a growing list of use cases for big data. We naturally think of Marketing as the low hanging fruit. Many projects look to analyze twitter feeds to find new ways to do marketing. I think of a great example from a TED speech that I recently saw on data visualization from Facebook from my masters studies at University of Virginia. We can see when the most likely time for breaks-ups occurs by looking at status changes and updates on users Walls. This is the intersection of Big Data, Analytics and traditional structured data. Ted Video Marketers can use this to sell more stuff. I really like the following piece on looking at twitter feeds to measure mood. The following company was bought by a hedge fund. They could predict how the S&P was going to do within three days at an 85% accuracy. Link to the article Here we see a convergence of predictive analytics and Big Data. So, we'll look at a lot of these business cases and start talking about what this means for the business. It's more than just finding ways to use Hadoop + NoSql and we'll talk about that too. How do I start in Big Data? That's what is coming next post.

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• Big Data – Buzz Words: What is NoSQL – Day 5 of 21

  - by Pinal Dave

  In yesterday’s blog post we explored the basic architecture of Big Data . In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – NoSQL. What is NoSQL? NoSQL stands for Not Relational SQL or Not Only SQL. Lots of people think that NoSQL means there is No SQL, which is not true – they both sound same but the meaning is totally different. NoSQL does use SQL but it uses more than SQL to achieve its goal. As per Wikipedia’s NoSQL Database Definition – “A NoSQL database provides a mechanism for storage and retrieval of data that uses looser consistency models than traditional relational databases.“ Why use NoSQL? A traditional relation database usually deals with predictable structured data. Whereas as the world has moved forward with unstructured data we often see the limitations of the traditional relational database in dealing with them. For example, nowadays we have data in format of SMS, wave files, photos and video format. It is a bit difficult to manage them by using a traditional relational database. I often see people using BLOB filed to store such a data. BLOB can store the data but when we have to retrieve them or even process them the same BLOB is extremely slow in processing the unstructured data. A NoSQL database is the type of database that can handle unstructured, unorganized and unpredictable data that our business needs it. Along with the support to unstructured data, the other advantage of NoSQL Database is high performance and high availability. Eventual Consistency Additionally to note that NoSQL Database may not provided 100% ACID (Atomicity, Consistency, Isolation, Durability) compliance.  Though, NoSQL Database does not support ACID they provide eventual consistency. That means over the long period of time all updates can be expected to propagate eventually through the system and data will be consistent. Taxonomy Taxonomy is the practice of classification of things or concepts and the principles. The NoSQL taxonomy supports column store, document store, key-value stores, and graph databases. We will discuss the taxonomy in detail in later blog posts. Here are few of the examples of the each of the No SQL Category. Column: Hbase, Cassandra, Accumulo Document: MongoDB, Couchbase, Raven Key-value : Dynamo, Riak, Azure, Redis, Cache, GT.m Graph: Neo4J, Allegro, Virtuoso, Bigdata As of now there are over 150 NoSQL Database and you can read everything about them in this single link. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• BAM Data Control in multiple ADF Faces Components

  - by [email protected]

  As we know Oracle BAM data control instance sharing is not supported.When two or more ADF Faces components must display the same data, and are bound to the same Oracle BAM data control definition, we have to make sure that we wrap each ADF Faces component in an ADF task flow, and set the Data Control Scope to isolated. This blog will show a small sample to demonstrate this. In this sample we will create a Pie and Bar using same BAM DC, such that both components use same Data control but have isolated scope.This sample can be downloaded  fromSample1.zip Set-up: Create a BAM data control using employees DO (sample) Steps: Right click on View Controller project and select "New->ADF Task Flow" Check "Create Bounded Task Flow" and give some meaningful name (ex:EmpPieTF.xml ) to the TaskFlow(TF) and click on "OK"CreateTF.bmpFrom the "Components Palette", drag and drop "View" into the task flow diagram. Give a meaningful name to the view. Double Click and Click "Ok" for  "Create New JSF Page Fragment" From "Data Controls" drag and drop "Employees->Query"  into this jsff page as "Graph->Pie" (Pie: Sales_Number and Slices: Salesperson) Repeat step 1 through 4 for another Task Flow (ex: EmpBarTF). From "Data Controls" drag and drop "Employees->Query"  into this jsff page as "Graph->Bar" (Bars :Sales_Number and X-axis : Salesperson). Open the Taskflow created in step 2. In the Structure Pane, right click on "Task Flow Definition -EmpPieTF" Click "Insert inside Task Flow Definition - EmpPieTF -> ADF Task Flow -> Data Control Scope". Click "OK"TFDCScope.bmpFor the "Data Control Scope", In the Property Inspector ->General section, change data control scope from Shared to Isolated. Repeat step 8 through 11 for the 2nd Task flow created. Now create a new jspx page example: Main.jspxDrag and drop both the Task flows (ex: "EmpPieTF" and "EmpBarTF") as regions. Surround with panel components as needed.Run the page Main.jspxMainPage.bmpNow when the page runs although both components are created using same Data control the bindings are not shared and each component will have a separate instance of the data control.

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• Raid 5 mdadm Problem - Help Please

  - by user66260

  My Raid 5 array (4 1tb Disks WD10EARS) had was showing as degraded. I looked and one of the disks wasnt installed, so i re-added it with the mdadm add command. the array is now showing as (null)Array , but cant be mounted if i run: root@warren-P5K-E:/home/warren# sudo mdadm --misc --detail /dev/md0 I get: mdadm: cannot open /dev/md0: No such file or directory and running: root@warren-P5K-E:/home/warren# cat /proc/mdstat gives me: Personalities : [linear] [multipath] [raid0] [raid1] [raid6] [raid5] [raid4] [raid10] unused devices: < none > The data is very important root@warren-P5K-E:/home/warren# mdadm --examine /dev/sda /dev/sda: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b792 - correct Events : 1 Number Major Minor RaidDevice State this 1 8 0 1 spare /dev/sda 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# mdadm --examine /dev/sdb /dev/sdb: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7a0 - correct Events : 1 Number Major Minor RaidDevice State this 0 8 16 0 spare /dev/sdb 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# oot@warren-P5K-E:/home/warren# mdadm --examine /dev/sdc /dev/sdc: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7b4 - correct Events : 1 Number Major Minor RaidDevice State this 2 8 32 2 spare /dev/sdc 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# mdadm --examine /dev/sdd /dev/sdd: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7c6 - correct Events : 1 Number Major Minor RaidDevice State this 3 8 48 3 spare /dev/sdd 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd That on the 4 drives.

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• How to recover unsaved PSD file on MacOSX

  - by cenk

  Adobe Photoshop creates temporary *.psb files for emergency recovery at this path: ~/Library/Application Support/Adobe/Adobe Photoshop CS6/AutoRecover The files created have names like _Untitled-10FDB62ECBABBFF5C8EAD958EBC9CFAE2E.psb with current user:group as designated owner. If you save the file you are working on OR you hit "don't save" when prompted, the temporary files are deleted. Now, system creates and deletes these files. I am trying to recover the emergency file but I think the "undelete" utilities were created assuming the "user" deletes the file - like going into the trash bin and then emptying the trash... Anyone having experience about this? Thanks.

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• New Feature in ODI 11.1.1.6: ODI for Big Data

  - by Julien Testut

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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• Trouble recovering MySQL InnoDB database after server crash

  - by Andy Shinn

  I had a server crash due to a broken iSCSI link (the filesystem went into read-only mode). After repairing the link and rebooting the machine (CentOS 5 / MySQL 5.1), the MySQL server would not start and gave the following error: 100603 19:11:46 mysqld_safe Starting mysqld daemon with databases from /var/lib/mysql InnoDB: The log sequence number in ibdata files does not match InnoDB: the log sequence number in the ib_logfiles! 100603 19:11:46 InnoDB: Database was not shut down normally! InnoDB: Starting crash recovery. InnoDB: Reading tablespace information from the .ibd files... InnoDB: Restoring possible half-written data pages from the doublewrite InnoDB: buffer... InnoDB: Warning: database page corruption or a failed InnoDB: file read of page 112541. InnoDB: Trying to recover it from the doublewrite buffer. InnoDB: Dump of the page: 100603 19:11:46 InnoDB: Page dump in ascii and hex (16384 bytes): lots of binary data 100603 19:11:46 InnoDB: Page checksum 953720272, prior-to-4.0.14-form checksum 2641912043 InnoDB: stored checksum 617821918, prior-to-4.0.14-form stored checksum 2080617765 InnoDB: Page lsn 115 2632899642, low 4 bytes of lsn at page end 2641594600 InnoDB: Page number (if stored to page already) 112541, InnoDB: space id (if created with = MySQL-4.1.1 and stored already) 0 InnoDB: Page may be an index page where index id is 0 616 InnoDB: Dump of corresponding page in doublewrite buffer: 100603 19:11:46 InnoDB: Page dump in ascii and hex (16384 bytes): more binary data 100603 19:11:46 InnoDB: Page checksum 908374788, prior-to-4.0.14-form checksum 824841363 InnoDB: stored checksum 912869634, prior-to-4.0.14-form stored checksum 2210927931 InnoDB: Page lsn 115 2635312169, low 4 bytes of lsn at page end 2633173354 InnoDB: Page number (if stored to page already) 112541, InnoDB: space id (if created with = MySQL-4.1.1 and stored already) 0 InnoDB: Page may be an index page where index id is 0 616 InnoDB: Also the page in the doublewrite buffer is corrupt. InnoDB: Cannot continue operation. InnoDB: You can try to recover the database with the my.cnf InnoDB: option: InnoDB: innodb_force_recovery=6 100603 19:11:46 mysqld_safe mysqld from pid file /var/run/mysqld/mysqld.pid ended Per the error message, I have tried setting set-variable=innodb_force_recovery=6 in the my.cnf to get to the data. This allows the MySQL server to start. But when I try to do a mysqldump of the database or a SELECT * INTO OUTFILE "filename" FROM broken_table; it seems to endlessly just export the same line over and over again. I have also tried http://code.google.com/p/innodb-tools/. But this tool fails with an error that 'blob' type is not supported. If I try to access the data using the PHP application it crashes MySQL: `100603 19:19:19 - mysqld got signal 11 ; This could be because you hit a bug. It is also possible that this binary or one of the libraries it was linked against is corrupt, improperly built, or misconfigured. This error can also be caused by malfunctioning hardware. We will try our best to scrape up some info that will hopefully help diagnose the problem, but since we have already crashed, something is definitely wrong and this may fail. key_buffer_size=8384512 read_buffer_size=131072 max_used_connections=2 max_threads=151 threads_connected=2 It is possible that mysqld could use up to key_buffer_size + (read_buffer_size + sort_buffer_size)*max_threads = 338317 K bytes of memory Hope that's ok; if not, decrease some variables in the equation. thd: 0x15d33f0 Attempting backtrace. You can use the following information to find out where mysqld died. If you see no messages after this, something went terribly wrong... stack_bottom = 0x453aff00 thread_stack 0x40000 /usr/libexec/mysqld(my_print_stacktrace+0x24) [0x874364] /usr/libexec/mysqld(handle_segfault+0x346) [0x5c9166] /lib64/libpthread.so.0 [0x3a6e40eb10] /usr/libexec/mysqld(rec_get_offsets_func+0x30) [0x7cc310] /usr/libexec/mysqld [0x7674d8] /usr/libexec/mysqld(btr_search_info_update_slow+0x638) [0x768d48] /usr/libexec/mysqld(btr_cur_search_to_nth_level+0xc7d) [0x75f86d] /usr/libexec/mysqld [0x7dd1c1] /usr/libexec/mysqld(row_search_for_mysql+0x18b0) [0x7e03d0] /usr/libexec/mysqld(ha_innobase::general_fetch(unsigned char*, unsigned int, unsigned int)+0x7c) [0x7526fc] /usr/libexec/mysqld(handler::read_multi_range_next(st_key_multi_range**)+0x29) [0x6aed09] /usr/libexec/mysqld(QUICK_RANGE_SELECT::get_next()+0x194) [0x69a964] /usr/libexec/mysqld [0x6aafe9] /usr/libexec/mysqld(sub_select(JOIN*, st_join_table*, bool)+0x56) [0x635196] /usr/libexec/mysqld [0x63f9cd] /usr/libexec/mysqld(JOIN::exec()+0x950) [0x6497c0] /usr/libexec/mysqld(mysql_select(THD*, Item*, TABLE_LIST*, unsigned int, List&, Item*, unsigned int, st_order*, st_order*, Item*, st_order*, unsign ed long long, select_result*, st_select_lex_unit*, st_select_lex*)+0x17b) [0x64b34b] /usr/libexec/mysqld(handle_select(THD*, st_lex*, select_result*, unsigned long)+0x169) [0x64bc79] /usr/libexec/mysqld [0x5d34b6] /usr/libexec/mysqld(mysql_execute_command(THD*)+0x4e5) [0x5d6b45] /usr/libexec/mysqld(mysql_parse(THD*, char const*, unsigned int, char const)+0x211) [0x5dc321] /usr/libexec/mysqld(dispatch_command(enum_server_command, THD*, char*, unsigned int)+0x10b8) [0x5dd3f8] /usr/libexec/mysqld(do_command(THD*)+0xe6) [0x5dd9e6] /usr/libexec/mysqld(handle_one_connection+0x73d) [0x5d036d] /lib64/libpthread.so.0 [0x3a6e40673d] /lib64/libc.so.6(clone+0x6d) [0x3a6d4d3d1d] Trying to get some variables. Some pointers may be invalid and cause the dump to abort... thd-query at 0x15de5e0 = SELECT DISTINCT count(DISTINCT i.itemid) as rowscount,i.hostid FROM items i WHERE ((i.itemid BETWEEN 000000000000000 AND 0999999 99999999)) AND i.type<9 AND (i.hostid IN (10017,10047,10050,10054,10056,10059,10062,10063,10064,10065,10066,10067,10068,10069,10070,10071,10072,10073,100 74,10075,10076,10077,10078,10079,10080,10081,10082,10084,10088,10089,10090,10091,10092,10093,10094,10095,10096,10097,10098,10099,10100,10101,10102,10103,10 104,10105,10106,10107,10108,10109)) GROUP BY i.hostid thd-thread_id=3 thd-killed=NOT_KILLED The manual page at contains information that should help you find out what is causing the crash. 100603 19:19:19 mysqld_safe Number of processes running now: 0 100603 19:19:19 mysqld_safe mysqld restarted` Before recovering form an older backup as a last resort I am looking for anymore suggestions. Thanks!

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• Accidently overwrote system.dbf - What now?

  - by Filip Ekberg

  I accidentally overwrote system.dbf in /usr/lib/oracle/xe/oradata/XE/system.dbf Well I did not actually do it accidentally, however I overwrote it because of other failures in the database. And when I try running the following: SQL> shutdown ORA-01109: database not open Database dismounted. ORACLE instance shut down. SQL> startup ORACLE instance started. Total System Global Area 289406976 bytes Fixed Size 1258488 bytes Variable Size 92277768 bytes Database Buffers 192937984 bytes Redo Buffers 2932736 bytes Database mounted. ORA-01589: must use RESETLOGS or NORESETLOGS option for database open Now I want to try to Recover the database because starting it in mounted or standard surely doesn't work. SQL> recover database using backup controlfile; ORA-00283: recovery session canceled due to errors ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01122: database file 1 failed verification check ORA-01110: data file 1: '/usr/lib/oracle/xe/oradata/XE/system.dbf' ORA-01206: file is not part of this database - wrong database id How do I solve this? Is it even possible? My "real" problem was that I ran the /etc/init.d/oracle-xe configure and it overwrote my old configuration and probably removed passwords and such so my tables were gone, however I found the mytablespace.dbf so I hope that it is possible to recover? Please shed some light on this.

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• Repairing hard disk when Windows installation disk won't boot

  - by Echows

  I'm trying to recover some data from a faulty hard disk with Windows installed on it (on which Windows won't even boot). I have tried so far: Booting to Ubuntu live USB stick and running ntfsfix (didn't work) Trying to mount the broken partition when running Ubuntu from usb stick (doesn't mount) Running photorec image recovery tool from live Ubuntu (it found some stuff but not the images I was looking for) Now as a last resort I got myself a Windows installation on a USB stick so that I can try fdisk, but the installer doesn't work. The loading screen shows up and then the installer crashes. The installer works fine on other computers. I suspect that the installer is trying to read the hard drive to see if there's something there but when it can't read one partition, it crashes. On Ubuntu, I can mount other partitions except the one I'm interested in so at least the hard drive is not completely dead. So the question is, what options do I have left? To be more specific, my goal is to recover some images from the faulty ntfs-partition on the hard drive. Other than that, I don't care about the contents of the hard disk.

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• Data Governance 2010 Conference in San Diego

  - by Tony Ouk

  The Data Governance Annual Conference is one of the world's most authoritative and vendor neutral event on Data Governance and Data Quality.  The conference will focus on the "how-tos" from starting a data governance and stewardship program to attaining data governance maturity with specific topics on MDM.  This year's event will be hosted June 7 through June 10 in San Diego, California. For more information, including registration details, visit the Data Governance 2010 Conference website.

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• How to search for newline or linebreak characters in Excel?

  - by Highly Irregular

  I've imported some data into Excel (from a text file) and it contains some sort of newline characters. It looks like this initially: If I hit F2 (to edit) then Enter (to save changes) on each of the cells with a newline (without actually editing anything), Excel automatically changes the layout to look like this: I don't want these newlines characters here, as it messes up data processing further down the track. How can I do a search for these to detect more of them? The usual search function doesn't accept an enter character as a search character.

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• Oracle Data Integration 12c: Simplified, Future-Ready, High-Performance Solutions

  - by Thanos Terentes Printzios

  In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. Oracle Data Integration delivers pervasive and continuous access to timely and trusted data across heterogeneous systems. Oracle is enhancing its data integration offering announcing the general availability of 12c release for the key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c, delivering Simplified and High-Performance Solutions for Cloud, Big Data Analytics, and Real-Time Replication. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions : Supporting Current and Emerging Initiatives Extreme Performance : Even higher performance than ever before Fast Time-to-Value : Higher IT Productivity and Simplified Solutions  With the new capabilities in Oracle Data Integrator 12c, customers can benefit from: Superior developer productivity, ease of use, and rapid time-to-market with the new flow-based mapping model, reusable mappings, and step-by-step debugger. Increased performance when executing data integration processes due to improved parallelism. Improved productivity and monitoring via tighter integration with Oracle GoldenGate 12c and Oracle Enterprise Manager 12c. Improved interoperability with Oracle Warehouse Builder which enables faster and easier migration to Oracle Data Integrator’s strategic data integration offering. Faster implementation of business analytics through Oracle Data Integrator pre-integrated with Oracle BI Applications’ latest release. Oracle Data Integrator also integrates simply and easily with Oracle Business Analytics tools, including OBI-EE and Oracle Hyperion. Support for loading and transforming big and fast data, enabled by integration with big data technologies: Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Only Oracle GoldenGate provides the best-of-breed real-time replication of data in heterogeneous data environments. With the new capabilities in Oracle GoldenGate 12c, customers can benefit from: Simplified setup and management of Oracle GoldenGate 12c when using multiple database delivery processes via a new Coordinated Delivery feature for non-Oracle databases. Expanded heterogeneity through added support for the latest versions of major databases such as Sybase ASE v 15.7, MySQL NDB Clusters 7.2, and MySQL 5.6., as well as integration with Oracle Coherence. Enhanced high availability and data protection via integration with Oracle Data Guard and Fast-Start Failover integration. Enhanced security for credentials and encryption keys using Oracle Wallet. Real-time replication for databases hosted on public cloud environments supported by third-party clouds. Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c and other Oracle technologies, such as Oracle Database 12c and Oracle Applications, provides a number of benefits for organizations: Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training. Integration with Oracle Database 12c provides a strong foundation for seamless private cloud deployments. Delivers real-time data for reporting, zero downtime migration, and improved performance and availability for Oracle Applications, such as Oracle E-Business Suite and ATG Web Commerce . Oracle’s data integration offering is optimized for Oracle Engineered Systems and is an integral part of Oracle’s fast data, real-time analytics strategy on Oracle Exadata Database Machine and Oracle Exalytics In-Memory Machine. Oracle Data Integrator 12c and Oracle GoldenGate 12c differentiate the new offering on data integration with these many new features. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. Find out much more about the new release in the video webcast "Introducing 12c for Oracle Data Integration", where customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Resource Kits Meet Oracle Data Integration 12c  Discover what's new with Oracle Goldengate 12c  Oracle EMEA DIS (Data Integration Solutions) Partner Community is available for all your questions, while additional partner focused webcasts will be made available through our blog here, so stay connected. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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• Building a Data Mart with Pentaho Data Integration Video Review by Diethard Steiner, Packt Publishing

  - by Compudicted

  Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/01/building-a-data-mart-with-pentaho-data-integration-video-review.aspx The Building a Data Mart with Pentaho Data Integration Video by Diethard Steiner from Packt Publishing is more than just a course on how to use Pentaho Data Integration, it also implements and uses the principals of the Data Warehousing (and I even heard the name of Ralph Kimball in the video). Indeed, a video watcher should be familiar with its concepts as the Star Schema, Slowly Changing Dimension types, etc. so I suggest prior to watching this course to consider skimming through the Data Warehouse concepts (if unfamiliar) or even better, read the excellent Ralph’s The Data Warehouse Tooolkit. By the way, the author expands beyond using Pentaho along to MySQL and MonetDB which is a real icing on the cake! Indeed, I even suggest the name of the course should be ‘Building a Data Warehouse with Pentaho’. To successfully complete the course one needs to know some Linux (Ubuntu used in the course), the VI editor and the Bash command shell, but it seems that similar requirements would also apply to the Weindows OS. Additionally, knowing some basic SQL would not hurt. As I had said, MonetDB is used in this course several times which seems to be not anymore complex than say MySQL, but based on what I read is very well suited for fast querying big volumes of data thanks to having a columnstore (vertical data storage). I don’t see what else can be a barrier, the material is very digestible. On this note, I must add that the author does not cover how to acquire the software, so here is what I found may help: Pentaho: the free Community Edition must be more than anyone needs to learn it. Or even go into a POC. MonetDB can be downloaded (exists for both, Linux and Windows) from http://goo.gl/FYxMy0 (just see the appropriate link on the left). The author seems to be using Eclipse to run SQL code, one can get it from http://goo.gl/5CcuN. To create, or edit database entities and/or schema otherwise one can use a universal tool called SQuirreL, get it from http://squirrel-sql.sourceforge.net.   Next, I must confess Diethard is very knowledgeable in what he does and beyond. However, there will be some accent heard to the user of the course especially if one’s mother tongue language is English, but it I got over it in a few chapters. I liked the rate at which the material is being presented, it makes me feel I paid for every second Eventually, my impressions are: Pentaho is an awesome ETL offering, it is worth learning it very much (I am an ETL fan and a heavy user of SSIS) MonetDB is nice, it tickles my fancy to know it more Data Warehousing, despite all the BigData tool offerings (Hive, Scoop, Pig on Hadoop), using the traditional tools still rocks Chapters 2 to 6 were the most fun to me with chapter 8 being the most difficult.   In terms of closing, I highly recommend this video to anyone who needs to grasp Pentaho concepts quick, likewise, the course is very well suited for any developer on a “supposed to be done yesterday” type of a project. It is for a beginner to intermediate level ETL/DW developer. But one would need to learn more on Data Warehousing and Pentaho, for such I recommend the 5 star Pentaho Data Integration 4 Cookbook. Enjoy it! Disclaimer: I received this video from the publisher for the purpose of a public review.

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• Building a Data Mart with Pentaho Data Integration Video Review by Diethard Steiner, Packt Publishing

  - by Compudicted

  Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/01/building-a-data-mart-with-pentaho-data-integration-video-review-again.aspx The Building a Data Mart with Pentaho Data Integration Video by Diethard Steiner from Packt Publishing is more than just a course on how to use Pentaho Data Integration, it also implements and uses the principals of the Data Warehousing (and I even heard the name of Ralph Kimball in the video). Indeed, a video watcher should be familiar with its concepts as the Star Schema, Slowly Changing Dimension types, etc. so I suggest prior to watching this course to consider skimming through the Data Warehouse concepts (if unfamiliar) or even better, read the excellent Ralph’s The Data Warehouse Tooolkit. By the way, the author expands beyond using Pentaho along to MySQL and MonetDB which is a real icing on the cake! Indeed, I even suggest the name of the course should be ‘Building a Data Warehouse with Pentaho’. To successfully complete the course one needs to know some Linux (Ubuntu used in the course), the VI editor and the Bash command shell, but it seems that similar requirements would also apply to the Windows OS. Additionally, knowing some basic SQL would not hurt. As I had said, MonetDB is used in this course several times which seems to be not anymore complex than say MySQL, but based on what I read is very well suited for fast querying big volumes of data thanks to having a columnstore (vertical data storage). I don’t see what else can be a barrier, the material is very digestible. On this note, I must add that the author does not cover how to acquire the software, so here is what I found may help: Pentaho: the free Community Edition must be more than anyone needs to learn it. Or even go into a POC. MonetDB can be downloaded (exists for both, Linux and Windows) from http://goo.gl/FYxMy0 (just see the appropriate link on the left). The author seems to be using Eclipse to run SQL code, one can get it from http://goo.gl/5CcuN. To create, or edit database entities and/or schema otherwise one can use a universal tool called SQuirreL, get it from http://squirrel-sql.sourceforge.net.   Next, I must confess Diethard is very knowledgeable in what he does and beyond. However, there will be some accent heard to the user of the course especially if one’s mother tongue language is English, but it I got over it in a few chapters. I liked the rate at which the material is being presented, it makes me feel I paid for every second Eventually, my impressions are: Pentaho is an awesome ETL offering, it is worth learning it very much (I am an ETL fan and a heavy user of SSIS) MonetDB is nice, it tickles my fancy to know it more Data Warehousing, despite all the BigData tool offerings (Hive, Scoop, Pig on Hadoop), using the traditional tools still rocks Chapters 2 to 6 were the most fun to me with chapter 8 being the most difficult.   In terms of closing, I highly recommend this video to anyone who needs to grasp Pentaho concepts quick, likewise, the course is very well suited for any developer on a “supposed to be done yesterday” type of a project. It is for a beginner to intermediate level ETL/DW developer. But one would need to learn more on Data Warehousing and Pentaho, for such I recommend the 5 star Pentaho Data Integration 4 Cookbook. Enjoy it! Disclaimer: I received this video from the publisher for the purpose of a public review.

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