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• Find and replace string in MySQL using data from another table

  - by Charlie

  Hi, sorry for formatting this wonky but hope you can understand it. I have two MySql tables, and I want to find and replace text strings in one using data in another. Texts - one column: messages 'thx guys' 'i think u r great' 'thx again' ' u rock' Dictionary - two columns: bad_spelling, good_spelling 'thx' 'thanks' ' u ' ' you ' ' r ' ' are ' I want SQL to go through and look at every row in messages and replace every instance of bad_spelling with good_spelling, and to do this for all the pairs of bad_spelling and good_spelling The closest I have gotten is this: update texts, dictionary set texts.message = replace(texts.message, dictionary.bad_spelling, dictionary.good_spelling) But this only changes 'thx' to 'thanks' (in 2 rows) and does not go on to replace ' u ' with ' you' or ' r ' with ' are '. Any ideas how to make it use all the rows in dictionary in the replace statement? -- PS forgot to mention that this is a small example and in the real thing I will have a lot of find/replace pairs, which may get added to over time.

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• Compound dictionary keys

  - by John Keyes

  I have a particular case where using compound dictionary keys would make a task easier. I have a working solution, but feel it is inelegant. How would you do it? context = { 'database': { 'port': 9990, 'users': ['number2', 'dr_evil'] }, 'admins': ['[email protected]', '[email protected]'], 'domain.name': 'virtucon.com' } def getitem(key, context): if hasattr(key, 'upper') and key in context: return context[key] keys = key if hasattr(key, 'pop') else key.split('.') k = keys.pop(0) if keys: try: return getitem(keys, context[k]) except KeyError, e: raise KeyError(key) if hasattr(context, 'count'): k = int(k) return context[k] if __name__ == "__main__": print getitem('database', context) print getitem('database.port', context) print getitem('database.users.0', context) print getitem('admins', context) print getitem('domain.name', context) try: getitem('database.nosuchkey', context) except KeyError, e: print "Error:", e Thanks.

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• how to make data that download from google-app-engine readable..

  - by zjm1126

  i use this to download all data from my google app: i follow this article: http://code.google.com/intl/en/appengine/docs/python/tools/uploadingdata.html#Creating_Exporter_Classes and download data use this: bulkloader.py --dump --url=http://zjm1126.appspot.com/remote_api --filename=b.csv but the data is : so how to make the data readable ? thanks

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• Castle Windsor: Inject NameValueCollection vs. Dictionary

  - by Aren B

  I've already done many configs where dictionaries are passed into services in the <parameters> block. But what I find myself needing right now is to build a NameValueCollection (allowing multiple entries with the same key) or a Collection of KeyValuePair objects. The reason for this is im not using this dictionary to look up b when given a, im basically using it to pass in a Tuple (pair) of (a,b) to be used later in code. Im kind of new to castle windor and I was wondering how i would go about making a List of KeyValuePair's injected, or a NameValueCollection injected.

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• Is there a dictionary about common programming vocabulary?

  - by _simon_

  When I need a name for a new class that extends behaviour of an existing class, I usually have hard time to come up with a name for it. For example, if I have a class MyClass, then the new class could be named something like MyClassAdapter, MyClassCalculator, MyClassDispatcher, MyClassParser,... This new name should of course represent the behaviour of the class and would ideally be same as the design pattern in which it is used (Adapter, Decorator, Factory,...). But since we don't overuse design patterns, this is not always the solution :) So, do you know for a dictionary or a list of common words, that we can use to represent the behaviour of the class, containing a short description of the expected behaviour? Some examples: replicator, shadow, token, acceptor, worker, mapper, driver, bucket, socket, validator, wrapper, parser, verifier,... You could also look at this list as a cheat sheet for metaphors, with which you can better understand your problem domain.

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• pysvn client.log() returning empty dictionary

  - by nashr rafeeg

  i have the following script that i am using to get the log messages from svn import pysvn class svncheck(): def __init__(self, svn_root="http://10.11.25.3/svn/Moodle/modules", svn_user=None, svn_password=None): self.user = svn_user self.password = svn_password self.root = svn_root def diffrence(self): client = pysvn.Client() client.commit_info_style = 1 client.callback_notify = self.notify client.callback_get_login = self.credentials log = client.log( self.root, revision_start=pysvn.Revision( pysvn.opt_revision_kind.number, 0), revision_end=pysvn.Revision( pysvn.opt_revision_kind.number, 5829), discover_changed_paths=True, strict_node_history=True, limit=0, include_merged_revisions=False, ) print log def notify( event_dict ): print event_dict return def credentials(realm, username, may_save): return True, self.user, self.password, True s = svncheck() s.diffrence() when i run this script its returning a empty dictionary object [<PysvnLog ''>, <PysvnLog ''>, <PysvnLog ''>,.. any idea what i am doing wrong here ? i am using pysvn version 1.7.2 built again svn version 1.6.5 cheers Nash

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• Specifying column names from a list in the data.frame command.

  - by MW Frost

  I have a list called cols with column names in it: cols <- c('Column1','Column2','Column3') I'd like to reproduce this command, but with a call to the list: data.frame(Column1=rnorm(10)) Here's what happens when I try it: > data.frame(cols[1]=rnorm(10)) Error: unexpected '=' in "data.frame(I(cols[1])=" The same thing happens if I wrap cols[1] in I() or eval(). How can I feed that item from the vector into the data.frame() command?

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• Joining links together in a dictionary

  - by ptabatt

  Hi guys, I'm student here, new to python and programming in general. I have a dictionary links which holds a tuple mapped to a number. How can I join the second url in the second tuple together with the urljoin() function? What I'm trying to do is get complete links so I can run a recursive function search() which takes a complete url as an arguement, finds all the links in each url and stores the number of links mapped to the links in a database. So far, I have: links {('href', 'http://reed.cs.depaul.edu/lperkovic/csc242/test2.html'): 1, ('href', 'test3.html'): 1} I want http://reed.cs.depaul.edu/lperkovic/csc242/test3.html...

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• Sqlite and Python -- return a dictionary using fetchone()?

  - by AndrewO

  I'm using sqlite3 in python 2.5. I've created a table that looks like this: create table votes ( bill text, senator_id text, vote text) I'm accessing it with something like this: v_cur.execute("select * from votes") row = v_cur.fetchone() bill = row[0] senator_id = row[1] vote = row[2] What I'd like to be able to do is have fetchone (or some other method) return a dictionary, rather than a list, so that I can refer to the field by name rather than position. For example: bill = row['bill'] senator_id = row['senator_id'] vote = row['vote'] I know you can do this with MySQL, but does anyone know how to do it with SQLite? Thanks!!!

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• Loading dictionary for input method suggestion list

  - by jpspringall

  Hi, For various reasons, i'm trying to write my own input keyboard. So far all is going well except that of creating the suggestions. I've found the latinIME algorithm, which is all good. However i'm having major difficulty working out how to load the dictionary in the first place. I've had a good look round the net, and found various suggestions, but no definitive answers, and i cant seem to get any of them to work. If anyone has any suggestions on how best to do it, or even better some sample code, that would be brilliant. Many Thanks James

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• Iterating dictionary indexes in django templates

  - by unclaimedbaggage

  Hi folks...I have a dictionary with embedded objects, which looks something like this: notes = { 2009: [<Note: Test note>, <Note: Another test note>], 2010: [<Note: Third test note>, <Note: Fourth test note>], } I'm trying to access each of the note objects inside a django template, and having a helluva time navigating to them. In short, I'm not sure how to extract by index in django templating. Current template code is: <h3>Notes</h3> {% for year in notes %} {{ year }} # Works fine {% for note in notes.year %} {{ note }} # Returns blank {% endfor %} {% endfor %} If I replace {% for note in notes.year %} with {% for note in notes.2010 %} things work fine, but I need that '2010' to be dynamic. Any suggestions much appreciated.

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• Python how to handle # in a dictionary

  - by Jack

  I've got some json from last.fm's api which I've serialised into a dictionary using simplejson. A quick example of the basic structure is below. { "artist": "similar": { "artist": { "name": "Blah", "image": {"#text":"URLHERE","size": "small"} "image": {"#text":"URLHERE","size": "medium"} "image": {"#text":"URLHERE","size": "large"} } } } Any ideas how I can access the image urls of various different sizes. My attempts at accessing the #text variable don't seem to work because python doesn't appear to like #'s in the names. And any ideas how I can easily get the url for the depending on the size? Thanks, Jack

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• Serializing Request.Form to a Dictionary or something

  - by André Alçada Padez

  Hi i need to pass my Request.Form as a parameter, but first i have to add some key/value pairs to it. I get the exception that the Collection is readonly. I've tried: System.Collections.Specialized.NameValueCollection myform = Request.Form; and i get the same error. and i've tried: foreach(KeyValuePair<string, string> pair in Request.Form) { Response.Write(Convert.ToString(pair.Key) + " - " + Convert.ToString(pair.Value) + "<br />"); } to test if i can pass it one by one to another dictionary, but i get: System.InvalidCastException: Specified cast is not valid. some help, anyone? Thanx

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• SQL Script To Generate a Database Dictionary **With Linked Fields**

  - by Albert

  I would like to generate a Data Dictionary for a SQL Server 2008 database that has one row for each field, and the following columns: table_name field_name data_type link_table (for when the field in question is a foreign key) link_field (for when the field in question is a foreign key) I can get the first 3 columns with something like the SQL script below...but I don't know how to get the last two columns of foreign key information. INFORMATION_SCHEMA.TABLE_CONSTRAINTS gets close, but doesn't have the data I'm looking for. Can someone help with this point? SELECT TABLE_NAME,COLUMN_NAME,DATA_TYPE FROM INFORMATION_SCHEMA.COLUMNS Secondarily if anyone has any suggestions on additional fields which would be helpful please post.

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• C# / IronPython Interop and the "float" data type

  - by Adam Haile

  Working on a project that uses some IronPython scripts to as plug-ins, that utilize functionality coded in C#. In one of my C# classes, I have a property that is of type: Dictionary<int, float> I set the value of that property from the IronPython code, like this: mc = MyClass() mc.ValueDictionary = Dictionary[int, float]({1:0.0, 2:0.012, 3:0.024}) However, when this bit of code is run, it throws the following exception: Microsoft.Scripting.ArgumentTypeException was unhandled by user code Message=expected Dictionary[int, Single], got Dictionary[int, float] To make things weirder, originally the C# code used Dictionary<int, double> but I could not find a "double" type in IronPython, tried "float" on a whim and it worked fine, giving no errors. But now that it's using float on both ends (which it should have been using from the start) it errors, and thinks that the C# code is using the "Single" data type?! I've even checked in the object browser for the C# library and, sure enough, it shows as using a "float" type and not "Single"

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• WCF methods sharing a dictionary

  - by YeomansLeo

  I'm creating a WCF Service Library and I have a question regarding thread-safety consuming a method inside this library, here is the full implementation that I have until now. namespace WCFConfiguration { [ServiceBehavior(InstanceContextMode = InstanceContextMode.PerCall, ConcurrencyMode = ConcurrencyMode.Single)] public class ConfigurationService : IConfigurationService { ConcurrentDictionary<Tuple<string,string>, string> configurationDictionary = new ConcurrentDictionary<Tuple<string,string>, string>(); public void Configuration(IEnumerable<Configuration> configurationSet) { Tuple<string, string> lookupStrings; foreach (var config in configurationSet) { lookupStrings = new Tuple<string, string>(config.BoxType, config.Size); configurationDictionary.TryAdd(lookupStrings, config.RowNumber); } } public void ScanReceived(string boxType, string size, string packerId = null) { } } } Imagine that I have a 10 values in my configurationDictionary and many people want to query this dictionary consuming ScanReceived method, are those 10 values be shared for each of the clients that request ScanReceived? Do I need to change my ServiceBehavior? The Configuration method is only consumed by one person by the way.

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• Select rows where column LIKE dictionary word

  - by Gerve

  I have 2 tables: Dictionary - Contains roughly 36,000 words CREATE TABLE IF NOT EXISTS `dictionary` ( `word` varchar(255) NOT NULL, PRIMARY KEY (`word`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1; Datas - Contains roughly 100,000 rows CREATE TABLE IF NOT EXISTS `datas` ( `ID` int(11) NOT NULL AUTO_INCREMENT, `hash` varchar(32) NOT NULL, `data` varchar(255) NOT NULL, `length` int(11) NOT NULL, `time` int(11) NOT NULL, PRIMARY KEY (`ID`), UNIQUE KEY `hash` (`hash`), KEY `data` (`data`), KEY `length` (`length`), KEY `time` (`time`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=105316 ; I would like to somehow select all the rows from datas where the column data contains 1 or more words. I understand this is a big ask, it would need to match all of these rows together in every combination possible, so it needs the best optimization. I have tried the below query, but it just hangs for ages: SELECT `datas`.*, `dictionary`.`word` FROM `datas`, `dictionary` WHERE `datas`.`data` LIKE CONCAT('%', `dictionary`.`word`, '%') AND LENGTH(`dictionary`.`word`) > 3 ORDER BY `length` ASC LIMIT 15 I have also tried something similar to the above with a left join, and on clause that specified the like statement.

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• Create tables for a dictionary?

  - by heffaklump

  I'm making a dictionary database in SQLite and need some tips. My SQL is a bit rusty ;) Would you consider this good SQL? It's done with Java JDBC. This is for creating the tables. CREATE TABLE word ( id INTEGER, entry STRING, pos STRING ); CREATE TABLE translation ( word_id INTEGER REFERENCES word(id), entry STRING ); And when filling with data i give each word a number (id) and that words translations get the same number as word_id. What would be the best way of pulling out translations for a specific word?

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• python: creating a list inside a dictionary

  - by user1871081

  I just started using python and I'm trying to create a program that will read a file that looks like this: AAA x 111 AAB x 111 AAA x 112 AAC x 123 ... the file is 50 lines long and I'm trying to make the letters into keys in a dictionary and the numbers lists that correspond with the keys. I want the output to look like this: {AAA: ['111', '112'], AAB: ['111'], AAC: [123], ...} This is what I've tried file = open("filename.txt", "r") readline = file.readline().rstrip() while readline!= "": list = [] list = readline.split(" ") j = list.index("x") k = list[0:j] v = list[p + 1:] d = {} if k in d == False d[k] = [] d[k].append(v) else d[k].append(v) readline = file.readline().rstrip() I keep getting syntax errors on my if statement and I can't figure out what I've done wrong.

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• How do i make form data not disappear after hitting refresh?

  - by acidzombie24

  I went to test my page on another browser. On google chrome i can fill out a form, hit back and forward and still have the data there. Now i need to refresh the page so certain data is correct (such as session id if the cookie expires or user logs out before submitting). I refresh and lose all data. Is there some option i can set so all data is kept?

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• parse unformatted string into dictionary with python

  - by user553131

  I have following string. DATE: 12242010Key Type: Nod32 Anti-Vir (30d trial) Key: a5B2s-sH12B-hgtY3-io87N-srg98-KLMNO I need to create dictionary so it would be like { "DATE": "12242010", "Key Type": "Nod32 Anti-Vir (30d trial)", "Key": "a5B2s-sH12B-hgtY3-io87N-srg98-KLMNO" } The problem is that string is unformatted DATE: 12242010Key Type: Nod32 Anti-Vir (30d trial) there is no space after Date before Key Type also it would be nice to have some validation for Key, eg if there are 5 chars in each box of key and number of boxes I am a beginner in python and moreover in regular expressions. Thanks a lot.

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• FairWarning Privacy Monitoring Solutions Rely on MySQL to Secure Patient Data

  - by Rebecca Hansen

  FairWarning® solutions have audited well over 120 billion events, each of which was processed and stored in a MySQL database. FairWarning is the world's leading supplier of privacy monitoring solutions for electronic health records, relied on by over 1,200 Hospitals and 5,000 Clinics to keep their patients' data safe. In January 2014, FairWarning was awarded the highest commendation in healthcare IT as the first ever Category Leader for Patient Privacy Monitoring in the "2013 Best in KLAS: Software & Services" report[1]. FairWarning has used MySQL as their solutions’ database from their start in 2005 to worldwide expansion and market leadership. FairWarning recently migrated their solutions from MyISAM to InnoDB and updated from MySQL 5.5 to 5.6. Following are some of benefits they’ve had as a result of those changes and reasons for their continued reliance on MySQL (from FairWarning MySQL Case Study). Scalability to Handle Terabytes of Data FairWarning's customers have a lot of data: On average, FairWarning customers receive over 700,000 events to be processed daily. Over 25% of their customers receive over 30 million events per day, which equates to over 1 billion events and nearly one terabyte (TB) of new data each month. Databases range in size from a few hundred GBs to 10+ TBs for enterprise deployments (data are rolled off after 13 months). Low or Zero Admin = Few DBAs "MySQL has not required a lot of administration. After it's been tuned, configured, and optimized for size on initial setup, we have very low administrative costs. I can scale and add more customers without adding DBAs. This has had a big, positive impact on our business.” - Chris Arnold, FairWarning Vice President of Product Management and Engineering. Performance Schema  As the size of FairWarning's customers has increased, so have their tables and data volumes. MySQL 5.6’ new maintenance and management features have helped FairWarning keep up. In particular, MySQL 5.6 performance schema’s low-level metrics have provided critical insight into how the system is performing and why. Support for Mutli-CPU Threads MySQL 5.6' support for multiple concurrent CPU threads, and FairWarning's custom data loader allow multiple files to load into a single table simultaneously vs. one at a time. As a result, their data load time has been reduced by 500%. MySQL Enterprise Hot Backup Because hospitals and clinics never stop, FairWarning solutions can’t either. FairWarning changed from using mysqldump to MySQL Enterprise Hot Backup, which has reduced downtime, restore time, and storage requirements. For many of their larger customers, restore time has decreased by 80%. MySQL Enterprise Edition and Product Roadmap Provide Complete Solution "MySQL's product roadmap fully addresses our needs. We like the fact that MySQL Enterprise Edition has everything included; there's no need to purchase separate modules."  - Chris Arnold Learn More>> FairWarning MySQL Case Study Why MySQL 5.6 is an Even Better Embedded Database for Your Products presentation Updating Your Products to MySQL 5.6, Best Practices for OEMs on-demand webinar (audio and / or slides + Q&A transcript) MyISAM to InnoDB – Why and How on-demand webinar (same stuff) Top 10 Reasons to Use MySQL as an Embedded Database white paper [1] 2013 Best in KLAS: Software & Services report, January, 2014. © 2014 KLAS Enterprises, LLC. All rights reserved.

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• Indexing data from multiple tables with Oracle Text

  - by Roger Ford

  It's well known that Oracle Text indexes perform best when all the data to be indexed is combined into a single index. The query select * from mytable where contains (title, 'dog') 0 or contains (body, 'cat') 0 will tend to perform much worse than select * from mytable where contains (text, 'dog WITHIN title OR cat WITHIN body') 0 For this reason, Oracle Text provides the MULTI_COLUMN_DATASTORE which will combine data from multiple columns into a single index. Effectively, it constructs a "virtual document" at indexing time, which might look something like: <title>the big dog</title> <body>the ginger cat smiles</body> This virtual document can be indexed using either AUTO_SECTION_GROUP, or by explicitly defining sections for title and body, allowing the query as expressed above. Note that we've used a column called "text" - this might have been a dummy column added to the table simply to allow us to create an index on it - or we could created the index on either of the "real" columns - title or body. It should be noted that MULTI_COLUMN_DATASTORE doesn't automatically handle updates to columns used by it - if you create the index on the column text, but specify that columns title and body are to be indexed, you will need to arrange triggers such that the text column is updated whenever title or body are altered. That works fine for single tables. But what if we actually want to combine data from multiple tables? In that case there are two approaches which work well: Create a real table which contains a summary of the information, and create the index on that using the MULTI_COLUMN_DATASTORE. This is simple, and effective, but it does use a lot of disk space as the information to be indexed has to be duplicated. Create our own "virtual" documents using the USER_DATASTORE. The user datastore allows us to specify a PL/SQL procedure which will be used to fetch the data to be indexed, returned in a CLOB, or occasionally in a BLOB or VARCHAR2. This PL/SQL procedure is called once for each row in the table to be indexed, and is passed the ROWID value of the current row being indexed. The actual contents of the procedure is entirely up to the owner, but it is normal to fetch data from one or more columns from database tables. In both cases, we still need to take care of updates - making sure that we have all the triggers necessary to update the indexed column (and, in case 1, the summary table) whenever any of the data to be indexed gets changed. I've written full examples of both these techniques, as SQL scripts to be run in the SQL*Plus tool. You will need to run them as a user who has CTXAPP role and CREATE DIRECTORY privilege. Part of the data to be indexed is a Microsoft Word file called "1.doc". You should create this file in Word, preferably containing the single line of text: "test document". This file can be saved anywhere, but the SQL scripts need to be changed so that the "create or replace directory" command refers to the right location. In the example, I've used C:\doc. multi_table_indexing_1.sql : creates a summary table containing all the data, and uses multi_column_datastore Download link / View in browser multi_table_indexing_2.sql : creates "virtual" documents using a procedure as a user_datastore Download link / View in browser

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• Oracle MDM Maturity Model

  - by David Butler

  A few weeks ago, I discussed the results of a survey conducted by Oracle’s Insight team. The survey was based on the data management maturity model that the Oracle Insight team has developed over the years as they analyzed customer IT organizations to help them get more out of everything they already have. I thought you might like to learn more about the maturity model itself. It can help you figure out where you stand when it comes to getting your organizations data management act together. The model covers maturity levels around five key areas: Profiling data sources; Defining a data strategy; Defining a data consolidation plan; Data maintenance; and Data utilization. Profile data sources: Profiling data sources involves taking an inventory of all data sources from across your IT landscape. Then evaluate the quality of the data in each source system. This enables the scoping of what data to collect into an MDM hub and what rules are needed to insure data harmonization across systems. Define data strategy: A data strategy requires an understanding of the data usage. Given data usage, various data governance requirements need to be developed. This includes data controls and security rules as well as data structure and usage policies. Define data consolidation strategy: Consolidation requires defining your operational data model. How integration is to be accomplished. Cross referencing common data attributes from multiple systems is needed. Synchronization policies also need to be developed. Data maintenance: The desired standardization needs to be defined, including what constitutes a ‘match’ once the data has been standardized. Cleansing rules are a part of this methodology. Data quality monitoring requirements also need to be defined. Utilize the data: What data gets published, and who consumes the data must be determined. How to get the right data to the right place in the right format given its intended use must be understood. Validating the data and insuring security rules are in place and enforced are crucial aspects for full no-risk data utilization. For each of the above data management areas, a maturity level needs to be assessed. Where your organization wants to be should also be identified using the same maturity levels. This results in a sound gap analysis your organization can use to create action plans to achieve the ultimate goals. Marginal is the lowest level. It is characterized by manually maintaining trusted sources; lacking or inconsistent, silo’d structures with limited integration, and gaps in automation. Stable is the next leg up the MDM maturity staircase. It is characterized by tactical MDM implementations that are limited in scope and target a specific division.  It includes limited data stewardship capabilities as well. Best Practice is a serious MDM maturity level characterized by process automation improvements. The scope is enterprise wide. It is a business solution that provides a single version of the truth, with closed-loop data quality capabilities. It is typically driven by an enterprise architecture group with both business and IT representation.   Transformational is the highest MDM maturity level. At this level, MDM is quantitatively managed. It is integrated with Business Intelligence, SOA, and BPM. MDM is leveraged in business process orchestration. Take an inventory using this MDM Maturity Model and see where you are in your journey to full MDM maturity with all the business benefits that accrue to organizations who have mastered their data for the benefit of all operational applications, business processes, and analytical systems. To learn more, Trevor Naidoo and I have written the Oracle MDM Maturity Model whitepaper. It’s free, so go ahead and download it and use it as you see fit.

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• Second Day of Data Integration Track at OpenWorld 2012

  - by Doug Reid

  0 false 18 pt 18 pt 0 0 false false false /* 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-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:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Our second day at OpenWorld and the Data Integration Team was very active with customer meetings, product updates, product demonstrations, sessions, plus much more.  If the volume of traffic by our demo pods is any indicator, this is a record year for attendance at OpenWorld.  The DIS team have had tremendous number of people stop by our demo pods to learn about the latest product releases or to speak to one of our product managers.    For Oracle GoldenGate, there has been a great deal of interest in Integrated Capture and the  Oracle GoldenGate Monitor plug-in for Enterprise Manager.  Our customer panels this year have been very well attended and on Tuesday we held the “Real World Operational Reporting with Oracle GoldenGate Customer Panel”. On this panel this year we had Michael Wells from Raymond James, Joy Mathew and Venki Govindarajan from Comcast, and Serkan Karatas from Turk Telekom. Our panelists have a great mix of experiences and all are passionate about using Oracle Data Integration products to solve very complex use cases. Each panelist was given a ten minute to overview their use of our product, followed by a barrage of questions from the audience. Michael Wells spoke about using Oracle GoldenGate for heterogeneous real time replication from HP (Tandem) NonStop to SQL Server and emphasized the need for using standard naming conventions for when customers configure GoldenGate, as the practices is immensely helpful when debugging a problem. Joy Mathew and Venkat Govindarajan from Comcast described how they have used GoldenGate for over a decade and their experiences of using the product for replicating data from HP nonstop to Terdata. Serkan Karatas from Turk Telekom dove into using Oracle GoldenGate and the value of archiving data in extremely large databases, which in Turk Telekoms case resulted in a 1 month ROI for the entire project. Thanks again to our panelist and audience participants for making the session interactive and informative.  For Wednesday we have a number of sessions available to attendees plus two hands-on labs, which I have listed below.   If you are unable to attend our hands-on lab for Oracle GoldenGate Veridata, it is available online at youtube.com. Sessions  11:45 AM - 12:45 PM Best Practices for High Availability with Oracle GoldenGate on Oracle Exadata -Moscone South - 102 1:15 PM - 2:15 PM Customer Perspectives: Oracle Data Integrator -Marriott Marquis - Golden Gate C3 Oracle GoldenGate Case Study: Real-Time Operational Reporting Deployment at Oracle -Moscone West - 2003 Data Preparation and Ongoing Governance with the Oracle Enterprise Data Quality Platform -Moscone West - 3000 3:30 PM - 4:30 PM Best Practices for Conflict Detection and Resolution in Oracle GoldenGate for Active/Active -Moscone West - 3000 5:00 PM - 6:00 PM Tuning and Troubleshooting Oracle GoldenGate on Oracle Database -Moscone South - 102 0 false 18 pt 18 pt 0 0 false false false /* 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-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:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Hands-on Labs 10:15 AM - 11:15 AM Introduction to Oracle GoldenGate Veridata Marriott Marquis - Salon 1/2 11:45 AM - 12:45 PM Oracle Data Integrator and Oracle SOA Suite: Hands-on Lab -Marriott Marquis - Salon 1/2 If you are at OpenWorld please join us in these sessions. For a full review of data integration track at OpenWorld please see our Focus-On Document.

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