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  • Finding a Payment Gateway?

    - by Lynda
    I have a client who would like to sell glass pipes online. The problem I run into is with the payment gateway. Glass pipes fall into two categories drug paraphernalia or tobacco product. This leads me to here and asking: Does anyone know of a payment gateway that will process payments for glass pipes? Note: Doing some Google searching I read that Authorize.net will accept tobacco but when I spoke with them they said they do not.

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  • Clustered Index

    - by Derek Dieter
    The clustered index on a table can be defined as: the sort order for how the data for the table is actually stored. Being that the clustered index is the actual data itself, you cannot have two clustered indexes. You can however have many non clustered indexes. These non clustered indexes are [...]

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  • Today VS 2010 SP1 comes out, any news on the roadmap for Visual Studio 2012?

    - by Abel
    Today Visual Studio 2010 SP1 comes out as general availability release. This made me wondering about the upcoming release of Visual Studio 2012: What are Microsoft's plans for Visual Studio 2012? I heard they'll come with a new version every two years. Are there any open fora or discussions? When will a preview be publicly available? But most importantly: what are the new highlights, improvements in .NET and C#/F#/VB (and C++ of course, request from Stijn)?

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  • Entity Framework 4.0: My Favorite Books

    - by nannette
    I'm in the process of reading several Entity Framework 4.0 books. I'm going to recommend two such books: 1) Programming Entity Framework: Building Data Centric Apps with the ADO.NET Entity Framework by Julia Lerman 2) Entity Framework 4.0 Recipes: A Problem-Solution Approach by Larry Tenny and Zeeshan Hirani Visit these Entity Framework 4.0 Quick Start videos by Julia Lerman. The book links include numerous detailed reviews. If you can only afford one of the books, I'd recommend Julia's book as the...(read more)

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  • Remove Clutter from the Opera Speed Dial Page

    - by Asian Angel
    Do you want to clean up the Speed Dial page in Opera so that only the thumbnails are visible? Today we show you a couple of tweaks that will make it happen. Speed Dial Page The search bar and text at the bottom take up room and add clutter to the look and feel of Opera’s Speed Dial page. Changing the Settings Two small tweaks to the config settings will clean it all up. To get started type opera:config into the address bar and press enter. Type “speed” into the quick find bar and look for the Speed Dial State entry. Change the 1 to 2 and click save. You will see the following message concerning the changes…click OK. Next type “search” into the quick find bar and look for the Speed Dial Search Type entry. Remove all of the text in the blank and click save. Once again you will see a message about the latest change that you have made. At this point you may need to restart Opera for both changes to take full effect. There will be a noticeable difference in how the Speed Dial page looks afterwards and is much cleaner without the Search bar and text field. You will also still be able to access the right click context menu just like before. Conclusion If you have been looking to get a cleaner and less cluttered Speed Dial page in Opera, then these two little hacks will get the job done! Similar Articles Productive Geek Tips Set the Speed Dial as the Opera Startup PageReplace Google Chrome’s New Tab Page with Speed DialSpeed up Windows Vista Start Menu Search By Limiting ResultsBlank New Tab Quick-Fix for Google ChromeMonitor and Control Memory Usage in Google Chrome TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips VMware Workstation 7 Acronis Online Backup DVDFab 6 Revo Uninstaller Pro Backup Outlook 2010 Daily Motivator (Firefox) FetchMp3 Can Download Videos & Convert Them to Mp3 Use Flixtime To Create Video Slideshows Creating a Password Reset Disk in Windows Bypass Waiting Time On Customer Service Calls With Lucyphone

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  • Announcing Key Functional White Papers for SIM and ReIM

    - by Oracle Retail Documentation Team
    Oracle Retail has published two new documents on My Oracle Support (https://support.oracle.com)  that provide partners and retailers with deeper functional information about two products: Oracle Retail Store Inventory Management (SIM) and Oracle Retail Invoice Matching. Oracle Retail Store Inventory Management Item Configuration White Paper (Doc ID 1507221.1) There is functionality within the Store Inventory Management system related to item configuration that spans across multiple concepts that apply to the application as a whole rather than to a specific area. This white paper covers numerous topics around item configuration including: Item Transaction Levels Item Long Description Pack Size Standard Unit of Measure Standard Unit of Measure Conversion Pack Items Simple Pack Conversion Items (Notional Packs) Ranging Items Item Status Non-Sellable Items Type-2 Item Recognition UPC-E Barcodes Non-Inventory Items Consignment and Concession Items Quick Response Codes Oracle Retail Invoice Matching Financial Transactions (Doc ID 1500209.1) This document explains the financial transactions that are posted by Oracle Retail Invoice Matching (ReIM). The scope of the document is limited to ReIM transactions only, and does not explain Retail Merchandising System (RMS), Finance, or Account Receivable transactions. ReIM follows the double-entry accounting standard, which works by recording the debit and credit of each financial transaction belonging to each party involved. Each transaction means a profit to one account (debit) and a loss to another account (credit). Full invoice match processing is completed in ReIM with payment recommendations communicated to Oracle Accounts Payable. ReIM matches merchandise orders and receipts against merchandise invoices, performing automated and manual matching, as well as discrepancy-resolution processing. Matched invoices are posted to interface staging tables specifying the amount and date to pay, vendor, site ID, General Ledger Chart of Accounts (GL CoA) information, and payment terms. Other payables documents, including debit memos, credit memos and credit notes are also interfaced to Accounts Payable through the ReIM staging tables (IM_AP_STAGE_HEAD and IM_AP_STAGE_DETAIL). For information about how ReIM engages in this processing, see the latest Oracle Retail Invoice Matching Operations Guide. Certain ReIM transactions are not interfaced to Oracle Payables, but instead are interfaced to Oracle General Ledger through the IM_FINANCIAL_STAGE table. When analyzing transactions posted through the staging tables, retailers should note the transaction type, Standard/Credit, as well as the sign in the amount field. Technically, a negative sign on a credit transaction changes the transaction to a debit entry, and vice versa. This document is concerned about the financial meaning of the transactions, and will avoid a discussion of negative numbers in T-charts.

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  • Slides and demo code for Columnstore Index session

    - by Hugo Kornelis
    Almost a week has passed after SQLBits X in London , so I guess it’s about time for me to share the slides and demo code of my session on columnstore indexes. After all, I promised people I would do that – especially when I found out that I had enough demos prepared to fill two sessions! I made some changes to the demo code. I added extra comments, not only to the demos I could not explain and run during the session, but also to the rest, so that people who missed the session will also be able to...(read more)

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  • robots.txt not updated

    - by Haridharan
    I have updated some url's and files in robots.txt file to block url's and files from google search results but, still files displaying in search results. As per a suggestion from a site I tried to update the robots.txt by below steps. In Google Webmaster tools, Health - Fetch as Google - type the url and click the fetch button. but, still files displaying in search results. Note: in Google Webmaster tools, Health - Blocked URL's - robots.txt file - downloaded date looks two dates back.

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  • The Chemistry of Snowflakes [Video]

    - by Jason Fitzpatrick
    Snowflakes start out as tiny bits of dust high in the atmosphere and end up drifting down to us as intricate water crystals. Check out this video to see the process start to finish. Courtesy of the American Chemical Society and Bytesize Science, we’re treated to a well explained and illustrated journey from the beginning of the snowflake formation process until the end. [via Neatorama] How to Access Your Router If You Forget the Password Secure Yourself by Using Two-Step Verification on These 16 Web Services How to Fix a Stuck Pixel on an LCD Monitor

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  • Windows is not available in GRUB's boot menu, but Windows Recovery is available

    - by rafalcieslak
    I had Windows Vista installed on a laptop. I have installed separately Ubuntu, wanting to have a dual-boot system. Now, Ubuntu works OK, but I am unable to boot into Windows. GRUB menu provides me with two entries: "Windows Vista (loader)" and "Windows Recovery Environment (loader)". However, BOTH boot into recovery environment. Running sudo update-grub does not change anything. I use an up-to-date 10.10.

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  • Is it possible to use canonical tag in Blogger posts?

    - by John Sanjay
    I found one of my blog post was cached by Google (www.example.com/post.html). I found that comment page of the post was also cached (www.example.com/post.html?showComment=1372054729698). These two pages are showing in Google SERP when I checked cached posts of my blog. Is it possible to use canonical tag on the post www.example.com/post.html?showComment=1372054729698 so that Google won't penalize my original post? Is there any other ways to redirect a blog post?

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  • SQLbits London 2012 - Demos

    - by Adam Machanic
    Thanks to everyone who attended my sessions last Friday and Saturday at SQLbits! It was great to meet many new people, not to mention spending some time exploring one of my favorite cities, London. Attached are the demos for each of the two talks I delivered: Query Tuning Mastery: The Art of and Science of Manhandling Parallelism As a database developer, your job boils down to one word: performance. And in today's multi-core-driven world, query performance is very much determined by how well you're...(read more)

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  • Should I go back to college and graduate with a poor GPA or try to jump into an entry-level development position? [closed]

    - by jshin47
    I once attended a top-10 American university but I am currently not in school for several different reasons. Chief among them is that I did very poorly two semesters and even failed one of them (got two F's) which put me in automatic suspension. My major is not CS but math. I am in a pickle at the moment. After I was suspended I got a job at a niche IT company in the area. I am employed as something of an IT generalist; my primary responsibilities are Windows systems administration/networking but I also do some Android, iOS, and .NET development. I have released a few apps to the app store under my name and my company's name, and we have done work for a few big clients. I started working at my job about 1.5 years ago and I am somewhat happily employed but I do not see it as a long-term fit because it is a small company with little opportunity to advance. I would like to move out to California and particularly to the Bay Area to get a job at a more reputable or exciting company, even at a lower rate of pay, but I am not sure if I should do that or try to go back to school. If I went back to school, it would take 1-1.5 years to graduate and some $. Best case scenario I would graduate with a 2.9 or 3.0 GPA. It is a top-10 school, but that's a crappy GPA. If I do not go back to school, I will be a field where most people have degrees, without a degree. If anything goes wrong I could be really screwed as I feel I will get no respect without a degree. On the other hand I really would like to get started in the field and get more serious about developing good development practices, learning new languages/frameworks, and working with people who know a lot more than I so I can learn and grow as a developer and eventually do my own thing. Basically, I am wondering: Should I just go back to school? How much does the bad GPA / good school reputation weigh in? What about the fact that I am a Math major and not a CS major (have never taken a CS course)? Does my skill set as something of a generalist bode well for me finding work at a start up in the Bay Area? If not (2), should I hunker down and focus on producing a really good (or a few medicore) iOS apps? Android apps? etc... How would you look at someone who did great in HS, kind of goofed off in college and eventually quit, and got into development? Thanks for any thoughts or input.

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  • SQL: empty string vs NULL value

    - by Jacek Prucia
    I know this subject is a bit controversial and there are a lot of various articles/opinions floating around the internet. Unfortunatelly, most of them assume the person doesn't know what the difference between NULL and empty string is. So they tell stories about surprising results with joins/aggregates and generally do a bit more advanced SQL lessons. By doing this, they absolutely miss the whole point and are therefore useless for me. So hopefully this question and all answers will move subject a bit forward. Let's suppose I have a table with personal information (name, birth, etc) where one of the columns is an email address with varchar type. We assume that for some reason some people might not want to provide an email address. When inserting such data (without email) into the table, there are two available choices: set cell to NULL or set it to empty string (''). Let's assume that I'm aware of all the technical implications of choosing one solution over another and I can create correct SQL queries for either scenario. The problem is even when both values differ on the technical level, they are exactly the same on logical level. After looking at NULL and '' I came to a single conclusion: I don't know email address of the guy. Also no matter how hard i tried, I was not able to sent an e-mail using either NULL or empty string, so apparently most SMTP servers out there agree with my logic. So i tend to use NULL where i don't know the value and consider empty string a bad thing. After some intense discussions with colleagues i came with two questions: am I right in assuming that using empty string for an unknown value is causing a database to "lie" about the facts? To be more precise: using SQL's idea of what is value and what is not, I might come to conclusion: we have e-mail address, just by finding out it is not null. But then later on, when trying to send e-mail I'll come to contradictory conclusion: no, we don't have e-mail address, that @!#$ Database must have been lying! Is there any logical scenario in which an empty string '' could be such a good carrier of important information (besides value and no value), which would be troublesome/inefficient to store by any other way (like additional column). I've seen many posts claiming that sometimes it's good to use empty string along with real values and NULLs, but so far haven't seen a scenario that would be logical (in terms of SQL/DB design). P.S. Some people will be tempted to answer, that it is just a matter of personal taste. I don't agree. To me it is a design decision with important consequences. So i'd like to see answers where opion about this is backed by some logical and/or technical reasons.

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  • Starting this week: Dublin, Maidenhead, and London

    - by KKline
    This might be most most overcommitted four-week period of time ever in my life. I’m tired just thinking about it! Not only am I traveling internationally and speaking over the next few weeks, I’m also helping on two book projects, learning some new applications from Quest Software, and helping on a small Transact-SQL refactoring project. Swag on hand? I’ve got a special printing of 500 video training DVDs for this trip: SQL Server Training on DMVs Performance Monitor and Wait Events Plus, I’ll have...(read more)

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  • ZFS for Database Log Files

    - by user12620111
    I've been troubled by drop outs in CPU usage in my application server, characterized by the CPUs suddenly going from close to 90% CPU busy to almost completely CPU idle for a few seconds. Here is an example of a drop out as shown by a snippet of vmstat data taken while the application server is under a heavy workload. # vmstat 1  kthr      memory            page            disk          faults      cpu  r b w   swap  free  re  mf pi po fr de sr s3 s4 s5 s6   in   sy   cs us sy id  1 0 0 130160176 116381952 0 16 0 0 0 0  0  0  0  0  0 207377 117715 203884 70 21 9  12 0 0 130160160 116381936 0 25 0 0 0 0 0  0  0  0  0 200413 117162 197250 70 20 9  11 0 0 130160176 116381920 0 16 0 0 0 0 0  0  1  0  0 203150 119365 200249 72 21 7  8 0 0 130160176 116377808 0 19 0 0 0 0  0  0  0  0  0 169826 96144 165194 56 17 27  0 0 0 130160176 116377800 0 16 0 0 0 0  0  0  0  0  1 10245 9376 9164 2  1 97  0 0 0 130160176 116377792 0 16 0 0 0 0  0  0  0  0  2 15742 12401 14784 4 1 95  0 0 0 130160176 116377776 2 16 0 0 0 0  0  0  1  0  0 19972 17703 19612 6 2 92  14 0 0 130160176 116377696 0 16 0 0 0 0 0  0  0  0  0 202794 116793 199807 71 21 8  9 0 0 130160160 116373584 0 30 0 0 0 0  0  0 18  0  0 203123 117857 198825 69 20 11 This behavior occurred consistently while the application server was processing synthetic transactions: HTTP requests from JMeter running on an external machine. I explored many theories trying to explain the drop outs, including: Unexpected JMeter behavior Network contention Java Garbage Collection Application Server thread pool problems Connection pool problems Database transaction processing Database I/O contention Graphing the CPU %idle led to a breakthrough: Several of the drop outs were 30 seconds apart. With that insight, I went digging through the data again and looking for other outliers that were 30 seconds apart. In the database server statistics, I found spikes in the iostat "asvc_t" (average response time of disk transactions, in milliseconds) for the disk drive that was being used for the database log files. Here is an example:                     extended device statistics     r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 2053.6    0.0 8234.3  0.0  0.2    0.0    0.1   0  24 c3t60080E5...F4F6d0s0     0.0 2162.2    0.0 8652.8  0.0  0.3    0.0    0.1   0  28 c3t60080E5...F4F6d0s0     0.0 1102.5    0.0 10012.8  0.0  4.5    0.0    4.1   0  69 c3t60080E5...F4F6d0s0     0.0   74.0    0.0 7920.6  0.0 10.0    0.0  135.1   0 100 c3t60080E5...F4F6d0s0     0.0  568.7    0.0 6674.0  0.0  6.4    0.0   11.2   0  90 c3t60080E5...F4F6d0s0     0.0 1358.0    0.0 5456.0  0.0  0.6    0.0    0.4   0  55 c3t60080E5...F4F6d0s0     0.0 1314.3    0.0 5285.2  0.0  0.7    0.0    0.5   0  70 c3t60080E5...F4F6d0s0 Here is a little more information about my database configuration: The database and application server were running on two different SPARC servers. Storage for the database was on a storage array connected via 8 gigabit Fibre Channel Data storage and log file were on different physical disk drives Reliable low latency I/O is provided by battery backed NVRAM Highly available: Two Fibre Channel links accessed via MPxIO Two Mirrored cache controllers The log file physical disks were mirrored in the storage device Database log files on a ZFS Filesystem with cutting-edge technologies, such as copy-on-write and end-to-end checksumming Why would I be getting service time spikes in my high-end storage? First, I wanted to verify that the database log disk service time spikes aligned with the application server CPU drop outs, and they did: At first, I guessed that the disk service time spikes might be related to flushing the write through cache on the storage device, but I was unable to validate that theory. After searching the WWW for a while, I decided to try using a separate log device: # zpool add ZFS-db-41 log c3t60080E500017D55C000015C150A9F8A7d0 The ZFS log device is configured in a similar manner as described above: two physical disks mirrored in the storage array. This change to the database storage configuration eliminated the application server CPU drop outs: Here is the zpool configuration: # zpool status ZFS-db-41   pool: ZFS-db-41  state: ONLINE  scan: none requested config:         NAME                                     STATE         ZFS-db-41                                ONLINE           c3t60080E5...F4F6d0  ONLINE         logs           c3t60080E5...F8A7d0  ONLINE Now, the I/O spikes look like this:                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1053.5    0.0 4234.1  0.0  0.8    0.0    0.7   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1131.8    0.0 4555.3  0.0  0.8    0.0    0.7   0  76 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1167.6    0.0 4682.2  0.0  0.7    0.0    0.6   0  74 c3t60080E5...F8A7d0s0     0.0  162.2    0.0 19153.9  0.0  0.7    0.0    4.2   0  12 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1247.2    0.0 4992.6  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0     0.0   41.0    0.0   70.0  0.0  0.1    0.0    1.6   0   2 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1241.3    0.0 4989.3  0.0  0.8    0.0    0.6   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1193.2    0.0 4772.9  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0 We can see the steady flow of 4k writes to the ZIL device from O_SYNC database log file writes. The spikes are from flushing the transaction group. Like almost all problems that I run into, once I thoroughly understand the problem, I find that other people have documented similar experiences. Thanks to all of you who have documented alternative approaches. Saved for another day: now that the problem is obvious, I should try "zfs:zfs_immediate_write_sz" as recommended in the ZFS Evil Tuning Guide. References: The ZFS Intent Log Solaris ZFS, Synchronous Writes and the ZIL Explained ZFS Evil Tuning Guide: Cache Flushes ZFS Evil Tuning Guide: Tuning ZFS for Database Performance

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  • Java: How to manage UDP client-server state

    - by user92947
    I am trying to write a Java application that works similar to MapReduce. There is a server and several workers. Workers may come and go as they please and the membership to the group has a soft-state. To become a part of the group, the worker must send a UDP datagram to the server, but to continue to be part of the group, the worker must send the UDP datagram to the server every 5 minutes. In order to accommodate temporary errors, a worker is allowed to miss as many as two consecutive periodic UDP datagrams. So, the server must keep track of the current set of workers as well as the last time each worker had sent a UDP datagram. I've implemented a class called WorkerListener that implements Runnable and listens to UDP datagrams on a particular UDP port. Now, to keep track of active workers, this class may maintain a HashSet (or HashMap). When a datagram is received, the server may query the HashSet to check if it is a new member. If so, it can add the new worker to the group by adding an entry into the HashSet. If not, it must reset a "timer" for the worker, noting that it has just heard from the corresponding worker. I'm using the word timer in a generic sense. It doesn't have to be a clock of sorts. Perhaps this could also be implemented using int or long variables. Also, the server must run a thread that continuously monitors the timers for the workers to see that a client that times out on two consecutive datagram intervals, it is removed from the HashSet. I don't want to do this in the WorkerListener thread because it would be blocking on the UDP datagram receive() function. If I create a separate thread to monitor the worker HashSet, it would need to be a different class, perhaps WorkerRegistrar. I must share the HashSet with that thread. Mutual exclusion must also be implemented, then. My question is, what is the best way to do this? Pointers to some sample implementation would be great. I want to use the barebones JDK implementation, and not some fancy state maintenance API that takes care of everything, because I want this to be a useful demonstration for a class that I am teaching. Thanks

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  • google analytics - real-time user stats vs audience overview user stats

    - by udog
    When looking at the real-time analytics reporting for our app, it shows around 150-180 users, say around 10AM (our peak usage time). When I look at the Audience Overview report for the same day (hourly breakdown), the number of users shown for the 10AM hour is over 1000. I'm sure this has to do with some sort of aggregation, but I would like to know more about how these two numbers are calculated in order to understand it.

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  • What Precalculus knowledge is required before learning Discrete Math Computer Science topics?

    - by Ein Doofus
    Below I've listed the chapters from a Precalculus book as well as the author recommended Computer Science chapters from a Discrete Mathematics book. Although these chapters are from two specific books on these subjects I believe the topics are generally the same between any Precalc or Discrete Math book. What Precalculus topics should one know before starting these Discrete Math Computer Science topics?: Discrete Mathematics CS Chapters 1.1 Propositional Logic 1.2 Propositional Equivalences 1.3 Predicates and Quantifiers 1.4 Nested Quantifiers 1.5 Rules of Inference 1.6 Introduction to Proofs 1.7 Proof Methods and Strategy 2.1 Sets 2.2 Set Operations 2.3 Functions 2.4 Sequences and Summations 3.1 Algorithms 3.2 The Growths of Functions 3.3 Complexity of Algorithms 3.4 The Integers and Division 3.5 Primes and Greatest Common Divisors 3.6 Integers and Algorithms 3.8 Matrices 4.1 Mathematical Induction 4.2 Strong Induction and Well-Ordering 4.3 Recursive Definitions and Structural Induction 4.4 Recursive Algorithms 4.5 Program Correctness 5.1 The Basics of Counting 5.2 The Pigeonhole Principle 5.3 Permutations and Combinations 5.6 Generating Permutations and Combinations 6.1 An Introduction to Discrete Probability 6.4 Expected Value and Variance 7.1 Recurrence Relations 7.3 Divide-and-Conquer Algorithms and Recurrence Relations 7.5 Inclusion-Exclusion 8.1 Relations and Their Properties 8.2 n-ary Relations and Their Applications 8.3 Representing Relations 8.5 Equivalence Relations 9.1 Graphs and Graph Models 9.2 Graph Terminology and Special Types of Graphs 9.3 Representing Graphs and Graph Isomorphism 9.4 Connectivity 9.5 Euler and Hamilton Ptahs 10.1 Introduction to Trees 10.2 Application of Trees 10.3 Tree Traversal 11.1 Boolean Functions 11.2 Representing Boolean Functions 11.3 Logic Gates 11.4 Minimization of Circuits 12.1 Language and Grammars 12.2 Finite-State Machines with Output 12.3 Finite-State Machines with No Output 12.4 Language Recognition 12.5 Turing Machines Precalculus Chapters R.1 The Real-Number System R.2 Integer Exponents, Scientific Notation, and Order of Operations R.3 Addition, Subtraction, and Multiplication of Polynomials R.4 Factoring R.5 Rational Expressions R.6 Radical Notation and Rational Exponents R.7 The Basics of Equation Solving 1.1 Functions, Graphs, Graphers 1.2 Linear Functions, Slope, and Applications 1.3 Modeling: Data Analysis, Curve Fitting, and Linear Regression 1.4 More on Functions 1.5 Symmetry and Transformations 1.6 Variation and Applications 1.7 Distance, Midpoints, and Circles 2.1 Zeros of Linear Functions and Models 2.2 The Complex Numbers 2.3 Zeros of Quadratic Functions and Models 2.4 Analyzing Graphs of Quadratic Functions 2.5 Modeling: Data Analysis, Curve Fitting, and Quadratic Regression 2.6 Zeros and More Equation Solving 2.7 Solving Inequalities 3.1 Polynomial Functions and Modeling 3.2 Polynomial Division; The Remainder and Factor Theorems 3.3 Theorems about Zeros of Polynomial Functions 3.4 Rational Functions 3.5 Polynomial and Rational Inequalities 4.1 Composite and Inverse Functions 4.2 Exponential Functions and Graphs 4.3 Logarithmic Functions and Graphs 4.4 Properties of Logarithmic Functions 4.5 Solving Exponential and Logarithmic Equations 4.6 Applications and Models: Growth and Decay 5.1 Systems of Equations in Two Variables 5.2 System of Equations in Three Variables 5.3 Matrices and Systems of Equations 5.4 Matrix Operations 5.5 Inverses of Matrices 5.6 System of Inequalities and Linear Programming 5.7 Partial Fractions 6.1 The Parabola 6.2 The Circle and Ellipse 6.3 The Hyperbola 6.4 Nonlinear Systems of Equations

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  • New Whitepaper from SQLBI: Vertipaq vs ColumnStore

    - by AlbertoFerrari
    At the end of June 2012, I was in Amsterdam to present some sessions at Teched Europe 2012 and, while preparing the material for the demos (yes, the best demos are the ones I prepare at the last minute), I decided to make a comparison between the two implementations of xVelocity of SQL 2012, one is the VertiPaq engine in SSAS Tabular and the other one is the ColumnStore index in SQL Server. After some trials, I decided that ColumnStore was a clear loser, because I was not able to see a real improvement...(read more)

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