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  • A brief introduction to BRM and architecture

    - by Yani Miguel
    Oracle Communications Billing and Revenue Management (Oracle BRM) is the telcos industry´s leading solution intended for communications service providers. This post encourages to know BRM starting with the basics. History Portal was a billing and revenue managament solution to communications industry created by Portal Software. In 2006 Oracle acquired Portal Software and the solution was renamed BRM. Today Oracle BRM is the first end-to-end packaged enterprise software suite for the communications industry, however BRM is just one more product in the catalog of OSS solutions that Oracle offers. BRM can bill and manage all communications services including wireline, wireless, broadband, cable, voice over IP, IPTV, music, and video. BRM Architecture BRM´s architecture consists of 4 layers or tiers. Through these layers are the data, bussines logic and interfaces to connect graphical client tools.Application tier This layer provides GUI client tools enabling communication to other layers through open APIs. Some BRM client applications are: Customer Center Pricing Center Universal Event Loader Web Server BRM Billing Application Collections Center Permissioning Center Furthermore, this layer is where are provided real-time external events. Bussines Process Tier Although all layers are equally important, I think it deserves more atention because in this tier BRM functionality is implemented. All functions that give life to BRM are in this layer coded in C language called Opcodes (System Processes in the image). Any changes or additional functionality should be made here, so when we try to customize the product, we will most of the time programming in this layer (Business Policies in the image).Bussines Process Tier Features: Implements Portal system functionalityValidates data from the application tierModifies Portal behavior through business policies. Business policies can by customized.Triggers external systems using event notification. Object Tier This layer is responsible for transfer the BRM requests into database language and translate BRM requests into external system requests. Without it, the business logic (data from Bussines Process Tier) could not be understood by the relational database. Data tier Data tier is responsable for the storage of BRM database and other external systems databases. External systems include credit card, tax, and directory servers. Finally, It's important to note that BRM is designed to easily integrate with the following solutions:AIA 2.4 Siebel CRM E-Business Suite - G/L onlyCommunications Services Gatekeeper Oracle BI Publisher. Personally, I think that BRM could improve migrating client-server architecture to a fully web platform that works with Oracle Middleware like any product of the Fusion Middleware family. Hopefully there are already initiatives in this area.

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  • Tuning Red Gate: #4 of Some

    - by Grant Fritchey
    First time connecting to these servers directly (keys to the kingdom, bwa-ha-ha-ha. oh, excuse me), so I'm going to take a look at the server properties, just to see if there are any issues there. Max memory is set, cool, first possible silly mistake clear. In fact, these look to be nicely set up. Oh, I'd like to see the ANSI Standards set by default, but it's not a big deal. The default location for database data is the F:\ drive, where I saw all the activity last time. Cool, the people maintaining the servers in our company listen, parallelism threshold is set to 35 and optimize for ad hoc is enabled. No shocks, no surprises. The basic setup is appropriate. On to the problem database. Nothing wrong in the properties. The database is in SIMPLE recovery, but I think it's a reporting system, so no worries there. Again, I'd prefer to see the ANSI settings for connections, but that's the worst thing I can see. Time to look at the queries, tables, indexes and statistics because all the information I've collected over the last several days suggests that we're not looking at a systemic problem (except possibly not enough memory), but at the traditional tuning issues. I just want to note that, I started looking at the system, not the queries. So should you when tuning your environment. I know, from the data collected through SQL Monitor, what my top poor performing queries are, and the most frequently called, etc. I'm starting with the most frequently called. I'm going to get the execution plan for this thing out of the cache (although, with the cache dumping constantly, I might not get it). And it's not there. Called 1.3 million times over the last 3 days, but it's not in cache. Wow. OK. I'll see what's in cache for this database: SELECT  deqs.creation_time,         deqs.execution_count,         deqs.max_logical_reads,         deqs.max_elapsed_time,         deqs.total_logical_reads,         deqs.total_elapsed_time,         deqp.query_plan,         SUBSTRING(dest.text, (deqs.statement_start_offset / 2) + 1,                   (deqs.statement_end_offset - deqs.statement_start_offset) / 2                   + 1) AS QueryStatement FROM    sys.dm_exec_query_stats AS deqs         CROSS APPLY sys.dm_exec_sql_text(deqs.sql_handle) AS dest         CROSS APPLY sys.dm_exec_query_plan(deqs.plan_handle) AS deqp WHERE   dest.dbid = DB_ID('Warehouse') AND deqs.statement_end_offset > 0 AND deqs.statement_start_offset > 0 ORDER BY deqs.max_logical_reads DESC ; And looking at the most expensive operation, we have our first bad boy: Multiple table scans against very large sets of data and a sort operation. a sort operation? It's an insert. Oh, I see, the table is a heap, so it's doing an insert, then sorting the data and then inserting into the primary key. First question, why isn't this a clustered index? Let's look at some more of the queries. The next one is deceiving. Here's the query plan: You're thinking to yourself, what's the big deal? Well, what if I told you that this thing had 8036318 reads? I know, you're looking at skinny little pipes. Know why? Table variable. Estimated number of rows = 1. Actual number of rows. well, I'm betting several more than one considering it's read 8 MILLION pages off the disk in a single execution. We have a serious and real tuning candidate. Oh, and I missed this, it's loading the table variable from a user defined function. Let me check, let me check. YES! A multi-statement table valued user defined function. And another tuning opportunity. This one's a beauty, seriously. Did I also mention that they're doing a hash against all the columns in the physical table. I'm sure that won't lead to scans of a 500,000 row table, no, not at all. OK. I lied. Of course it is. At least it's on the top part of the Loop which means the scan is only executed once. I just did a cursory check on the next several poor performers. all calling the UDF. I think I found a big tuning opportunity. At this point, I'm typing up internal emails for the company. Someone just had their baby called ugly. In addition to a series of suggested changes that we need to implement, I'm also apologizing for being such an unkind monster as to question whether that third eye & those flippers belong on such an otherwise lovely child.

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  • Harness MySQL's Continued Performance Tuning Improvements

    - by Antoinette O'Sullivan
    To fully harness the continued improvements in performance tuning you get with MySQL, take the MySQL Performance Tuning course. This 4 day class teaches you practical, safe, highly efficient ways to optimize performance for the MySQL Server. You will learn the skills needed to use tools for monitoring, evaluating and tuning.  You can take this course in the following three ways: Training-on-Demand: Follow this course at your own pace and from your own desk with streaming video of instructor delivery and booking time to follow hands-on exercises at your own convenience. Live-Virtual: Attend a live instructor-led event from your own desk. Choose from the numerous events on the schedule. In-Class:  Travel to an education center to follow this class. A sample of events on the schedule is shown below:  Location  Date  Delivery Language  Tokyo, Japan  19 November 2012  Japanese  Mechelen, Belgium  4 February 2013  English  London, England  19 November 2012  English  Budapest, Hungary  21 May 2013  Hungarian  Milan, Italy  14 January 2013  Italian  Rome, Italy  3 December 2012  Italian  Riga, Latvia  10 December 2012  Latvian  Amsterdam, Netherlands  7 January 2013  Dutch  Nieuwegein, Netherlands  26 November 2012  Dutch  Warsaw, Poland  3 December 2012  Polish  Lisbon, Portugal  4 February 2013  European Portugese  Porto, Portugal  4 February 2013  European Portugese  Barcelona, Spain  25 March 2013  Spanish  Madrid, Spain  17 December 2012  Spanish  Sydney, Australia  26 November 2012  English  Edmonton, Canada  10 December 2012  English  Montreal, Canada  26 November 2012  English  Ottawa, Canada  26 November 2012  English  Toronto, Canada  26 November 2012  English  Vancouver, Canada  10 December 2012  English  Sao Paolo, Brazil  26 November 2012  Brazilan Portugese For more information on this class or to know more about other courses on the authentic MySQL curriculum. see http://oracle.com/education/mysql. Note, many organizations deploy both Oracle Database and MySQL side by side to serve different needs, and as a database professional you can find training courses on both topics at Oracle University! Check out the upcoming Oracle Database training courses and MySQL training courses. Even if you're only managing Oracle Databases at this point of time, getting familiar with MySQL will broaden your career path with growing job demand.

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  • Saving game data to server [on hold]

    - by Eugene Lim
    What's the best method to save the player's data to the server? Method to store the game saves Which one of the following method should I use ? Using a database structure(e.g.. mySQL) to store the game data as blobs? Using the server hard disk to store the saved game data as binary data files? Method to send saved game data to server What method should I use ? socketIO web socket a web-based scripting language to receive the game data as binary? for example, a php script to handle binary data and save it to file Meta-data I read that some games store saved game meta-data in database structures. What kind of meta data is useful to store?

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  • Live from ODTUG - Big Data and SQL session #2

    - by Jean-Pierre Dijcks
    Sitting in Dominic Delmolino's session at ODTUG (KScope 12). If the session count at conferences is any indication then we will see more and more people start to deploy MapReduce in the database. And yes, that would be with SQL and PL/SQL first and foremost. Both Dominic and our own Bryn Llewellyn are doing MapReduce in the database presentations.  Since I have seen both, I would advice people to first look through Dominic's session to get a good grasp on what mappers do and what reducers do, then dive into Bryn's for a bunch of PL/SQL example. The thing I like about Dominic's is the last slide (a recursive WITH statement) to do this in SQL... Now I am hoping that next year we will see tools vendors show off how they work with Hadoop and MapReduce (at least talking about the concepts!!).

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  • New Replication, Optimizer and High Availability features in MySQL 5.6.5!

    - by Rob Young
    As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release.  As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web.  That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters.  Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities.  With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools.  You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article.  New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization.  Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY.  Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases")  Please let us know what you think!  The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs.  Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME.  These operations are non-blocking and will continue to evolve in future DMRs.  You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale.  These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing:    2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever.  It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

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  • July, the 31 Days of SQL Server DMO’s – Day 26 (sys.dm_db_log_space_usage)

    - by Tamarick Hill
    The sys.dm_db_log_space_usage DMV is a new DMV for SQL Server 2012. It returns Total Size, Used Size, and Used Percent size for a transaction log file of a given database. To illustrate this DMV, I will query the DMV against my AdventureWorks2012 database. SELECT * FROM sys.dm_db_log_space_usage As mentioned above, the result set gives us the total size of the transaction log in bytes, the used size of the log in bytes, and the percent of the log that has been used. This is a very simplistic DMV but returns valuable information. Being able to detect when a transaction log is close to being full is always a valuable thing to alert on, and this DMV just provided an additional method for acquiring the necessary information. Follow me on Twitter @PrimeTimeDBA

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  • Execute TSQL statement with ExecuteStoreQuery in entity framework 4.0

    - by Jalpesh P. Vadgama
    I was playing with entity framework in recent days and I was searching something that how we can execute TSQL statement in entity framework. And I have found one great way to do that with entity framework ‘ExecuteStoreQuery’ method. It’s executes a TSQL statement against data source given enity framework context and returns strongly typed result. You can find more information about ExcuteStoreQuery from following link. http://msdn.microsoft.com/en-us/library/dd487208.aspx So let’s examine how it works. So Let’s first create a table against which we are going to execute TSQL statement. So I have added a SQL Express database as following. Now once we are done with adding a database let’s add a table called Client like following. Here you can see above Client table is very simple. There are only two fields ClientId and ClientName where ClientId is primary key and ClientName is field where we are going to store client name. Now it’s time to add some data to the table. So I have added some test data like following. Now it’s time to add entity framework model class. So right click project->Add new item and select ADO.NET entity model as following. After clicking on add button a wizard will start it will ask whether we need to create model classes from database or not but we already have our client table ready so I have selected generate from database as following. Once you process further in wizard it will be presented a screen where we can select the our table like following. Now once you click finish it will create model classes with for us. Now we need a gridview control where we need to display those data. So in Default.aspx page I have added a grid control like following. <%@ Page Title="Home Page" Language="C#" MasterPageFile="~/Site.master" AutoEventWireup="true" CodeBehind="Default.aspx.cs" Inherits="EntityFramework._Default" %> <asp:Content ID="HeaderContent" runat="server" ContentPlaceHolderID="HeadContent"> </asp:Content> <asp:Content ID="BodyContent" runat="server" ContentPlaceHolderID="MainContent"> <h2> Welcome to ASP.NET! </h2> <p> To learn more about ASP.NET visit <a href="http://www.asp.net" title="ASP.NET Website">www.asp.net</a>. </p> <p> You can also find <a href="http://go.microsoft.com/fwlink/?LinkID=152368&amp;clcid=0x409" title="MSDN ASP.NET Docs">documentation on ASP.NET at MSDN</a>. <asp:GridView ID="grdClient" runat="server"> </asp:GridView> </p> </asp:Content> Now once we are done with adding Gridview its time to write code for server side. So I have written following code in Page_load event of default.aspx page. protected void Page_Load(object sender, EventArgs e) { if (!Page.IsPostBack) { using (var context = new EntityFramework.TestEntities()) { ObjectResult<Client> result = context.ExecuteStoreQuery<Client>("Select * from Client"); grdClient.DataSource = result; grdClient.DataBind(); } } } Here in the above code you can see that I have written create a object of our entity model and then with the help of the ExecuteStoreQuery method I have execute a simple select TSQL statement which will return a object result. I have bind that object result with gridview to display data. So now we are done with coding.So let’s run application in browser. Following is output as expected. That’s it. Hope you like it. Stay tuned for more..Till then happy programming.

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  • MVC: Why put the business logic in the model? What happens when I've multiple types of storage?

    - by Steffen Winkler
    I always thought that the business logic has to be in the controller and that the controller, since it is the 'middle' part, stays static and that the model/view have to be capsuled via interfaces, that way you could change the business logic without affecting anything else, program multiple Models (one for each database/type of storage) and a dozens of views (for different platforms for example). Now I read in this question that you should always put the business logic into the model and that the controller is deeply connected with the view. To me, that doesn't really make sense and implies that each time I want to have the means of supporting another database/type of storage I've to rewrite my whole model including the business logic. And if I want another view, I've to rewrite both the view and the controller. May someone explain why that is or if I went wrong somewhere? Currently, that whole thing doesn't really make sense to me.

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  • MySQL - ODBC Data Connector

    - by Stuart Brierley
    Having previsouly installed and then configured MySQL, you may now need to install the ODBC Data Connector driver in order to connect to your MySQL database. Following the Splash screen the first thing to choose is the Setup Type for your installation.  As usual I chose custom so that I could see the components that were actually being installed.  In this case the custom set up screen allows you to choose to install the driver and the documentation. Finally you can complete the installation Assuming it completes okay you have now installed the MySQL ODBC driver. My intention for installing all these MySQL components is so that I can now attempt to get BizTalk 2009 talking to the MySQL database for a solution that I am currently working on.  For this I will next be looking at the Community ODBC Adapter.

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  • Do url shortening services shorten the id or directly the url?

    - by Tatu Meriläinen
    Assuming the urls are saved to a database where they each have id and the url saved. For example a url www.example.com (let's say with id 1000) would possibly be shortened to www.url.com/c1hd5 etc. Is the url www.example.com shortened to c1hd5 with base64 or similar or are the ids shortened? The 566 id could be shortened like this: 1 = 1, 2 = 2, ... 9 = 9, 10 = a. The 1000 id would be fE if we used every possible letter from a-Z and - _. Is it good idea to use ids from database to shorten urls?

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  • Heterogén adatelérés OWB-vel: ODI EE Enterprise ETL

    - by Fekete Zoltán
    Az elozo ketto blogbejegyzéshez kapcsolódva felmerül a kérdés: Hogyan lehet az Oracle Warehouse Builderrel heterogén adatforrásokat elérni? Ajánlott olvasmány: Oracle Warehouse Builder 11gR2: OWB ETL Using ODI Knowledge Modules Természetesen az OWB az Oracle Database Heterogeneous Services-zel ODBC-vel illetve Oracle Gateway-k alkalmazásával eddig is lehetett mindenféle ODBC kompatibilis továbbá mainframe-es adatbázisokat elérni. Oracle Database Gateways: MS SQL Server, Sybase, Teradata, Informix, ODBC, DRDA, APPC, WebSphere MQ, DB2, DB2/400. A megfelelo Application Adapters megvásárlásával lehet csatlakozni az OWB-vel például a következo forrásokhoz: SAP, Oracle E-Business Suite, Peoplesoft, Siebel, Oracle Customer Data Hub (CDH), Universal Customer Master (UCM), Product Information Management (PIM). Az OWB 11gR2-tol kezdve az OWB tudja használni az Oracle Data Integrator Knowledge moduljait a heterogén adatelérésre, ez JDBC-vel illetve más heterogén elérési módokkal. Ajánlott olvasmány: Oracle Warehouse Builder 11gR2: OWB ETL Using ODI Knowledge Modules Letöltés: Oracle Warehouse Builder. BTW az OWB Java-s kliens szoftver Linux-on és Windows-on is használható. A szerver oldal pedig természetesen az Oracle adatbázisban fut: Solaris, Linux, HP-UX, AIX, Windows operációs rendszereken.

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  • Using CTAS & Exchange Partition Replace IAS for Copying Partition on Exadata

    - by Bandari Huang
    Usage Scenario: Copy data&index from one partition to another partition in a partitioned table. Solution: Create a partition definition Copy data from one partition to another partiton by 'Insert as select (IAS)' Create a nonpartitioned table by 'Create table as select (CTAS)' Convert a nonpartitioned table into a partition of partitoned table by exchangng their data segments. Rebuild unusable index Exchange Partition Convertion Mutual convertion between a partition (or subpartition) and a nonpartitioned table Mutual convertion between a hash-partitioned table and a partition of a composite *-hash partitioned table Mutual convertiton a [range | list]-partitioned table into a partition of a composite *-[range | list] partitioned table. Exchange Partition Usage Scenario High-speed data loading of new, incremental data into an existing partitioned table in DW environment Exchanging old data partitions out of a partitioned table, the data is purged from the partitioned table without actually being deleted and can be archived separately Exchange Partition Syntax ALTER TABLE schema.table EXCHANGE [PARTITION|SUBPARTITION] [partition|subprtition] WITH TABLE schema.table [INCLUDE|EXCLUDING] INDEX [WITH|WITHOUT] VALIDATION UPDATE [INDEXES|GLOBAL INDEXES] INCLUDING | EXCLUDING INDEXES Specify INCLUDING INDEXES if you want local index partitions or subpartitions to be exchanged with the corresponding table index (for a nonpartitioned table) or local indexes (for a hash-partitioned table). Specify EXCLUDING INDEXES if you want all index partitions or subpartitions corresponding to the partition and all the regular indexes and index partitions on the exchanged table to be marked UNUSABLE. If you omit this clause, then the default is EXCLUDING INDEXES. WITH | WITHOUT VALIDATION Specify WITH VALIDATION if you want Oracle Database to return an error if any rows in the exchanged table do not map into partitions or subpartitions being exchanged. Specify WITHOUT VALIDATION if you do not want Oracle Database to check the proper mapping of rows in the exchanged table. If you omit this clause, then the default is WITH VALIDATION.  UPADATE INDEX|GLOBAL INDEX Unless you specify UPDATE INDEXES, the database marks UNUSABLE the global indexes or all global index partitions on the table whose partition is being exchanged. Global indexes or global index partitions on the table being exchanged remain invalidated. (You cannot use UPDATE INDEXES for index-organized tables. Use UPDATE GLOBAL INDEXES instead.) Exchanging Partitions&Subpartitions Notes Both tables involved in the exchange must have the same primary key, and no validated foreign keys can be referencing either of the tables unless the referenced table is empty.  When exchanging partitioned index-organized tables: – The source and target table or partition must have their primary key set on the same columns, in the same order. – If key compression is enabled, then it must be enabled for both the source and the target, and with the same prefix length. – Both the source and target must be index organized. – Both the source and target must have overflow segments, or neither can have overflow segments. Also, both the source and target must have mapping tables, or neither can have a mapping table. – Both the source and target must have identical storage attributes for any LOB columns. 

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  • JPA and NoSQL using EclipseLink - MongoDB supported

    - by arungupta
    EclipseLink 2.4 has added JPA support for NoSQL databases, MongoDB and Oracle NoSQL are the first ones to make the cut. The support to other NoSQL database can be extended by adding a EclipseLink EISPlatform class and a JCA adapter. A Java class can be mapped to a NoSQL datasource using the @NoSQL annotation or <no-sql> XML element. Even a subset of JPQL and the Criteria API are supported, dependent on the NoSQL database's query support. The connection properties are specified in "persistence.xml". A complete sample showing how JPA annotations are mapping and using @NoSQL is explained here. The MongoDB-version of the source code can also be checked out from the SVN repository. EclipseLink 2.4 is scheduled to be released with Eclipse Juno in June 2012 and the complete set of supported features is described on their wiki. The milestone and nightly builds are already available. Do you want to try with GlassFish and let us know ?

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  • Data Storage Options

    - by Kenneth
    When I was working as a website designer/engineer I primarily used databases for storage of much of my dynamic data. It was very easy and convenient to use this method and seemed like a standard practice from my research on the matter. I'm now working on shifting away from websites and into desktop applications. What are the best practices for data storage for desktop applications? I ask because I have noticed that most programs I use on a personal level don't appear to use a database for data storage unless its embedded in the program. (I'm not thinking of an application like a word processor where it makes sense to have data stored in individual files as defined by the user. Rather I'm thinking of something more along the lines of a calendar application which would need to store dates and event info and such where accessing that information would be much easier if stored in a database... at least as far as my experience would indicate.) Thanks for the input!

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  • Free eBook with SQL Server performance tips and nuggets

    - by Claire Brooking
    I’ve often found that the kind of tips that turn out to be helpful are the ones that encourage me to make a small step outside of a routine. No dramatic changes – just a quick suggestion that changes an approach. As a languages student at university, one of the best I spotted came from outside the lecture halls and ended up saving me time (and lots of huffing and puffing) – the use of a rainbow of sticky notes for well-used pages and letter categories in my dictionary. Simple, but armed with a heavy dictionary that could double up as a step stool, those markers were surprisingly handy. When the Simple-Talk editors told me about a book they were planning that would give a series of tips for developers on how to improve database performance, we all agreed it needed to contain a good range of pointers for big-hitter performance topics. But we wanted to include some of the smaller, time-saving nuggets too. We hope we’ve struck a good balance. The 45 Database Performance Tips eBook covers different tips to help you avoid code that saps performance, whether that’s the ‘gotchas’ to be aware of when using Object to Relational Mapping (ORM) tools, or what to be aware of for indexes, database design, and T-SQL. The eBook is also available to download with SQL Prompt from Red Gate. We often hear that it’s the productivity-boosting side of SQL Prompt that makes it useful for everyday coding. So when a member of the SQL Prompt team mentioned an idea to make the most of tab history, a new feature in SQL Prompt 6 for SQL Server Management Studio, we were intrigued. Now SQL Prompt can save tabs we have been working on in SSMS as a way to maintain an active template for queries we often recycle. When we need to reuse the same code again, we search for our saved tab (and we can also customize its name to speed up the search) to get started. We hope you find the eBook helpful, and as always on Simple-Talk, we’d love to hear from you too. If you have a performance tip for SQL Server you’d like to share, email Melanie on the Simple-Talk team ([email protected]) and we’ll publish a collection in a follow-up post.

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  • Real-time Big Data Analytics is a reality for StubHub with Oracle Advanced Analytics

    - by Mark Hornick
    What can you use for a comprehensive platform for real-time analytics? How can you process big data volumes for near-real-time recommendations and dramatically reduce fraud? Learn in this video what Stubhub achieved with Oracle R Enterprise from the Oracle Advanced Analytics option to Oracle Database, and read more on their story here. Advanced analytics solutions that impact the bottom line of a business are challenging due to the range of skills and individuals involved in realizing such solutions. While we hear a lot about the role of the data scientist, that role is but one piece of the puzzle. Advanced analytics solutions also have an operationalization aspect that also requires close proximity to where the transactional activity occurs. The data scientist needs access to the right data with which to model the business problem. This involves IT for data collection, management, and administration, as well as ensuring zero downtime (a website needs to be up 24x7). This also involves working with the data scientist to keep predictive models refreshed with the latest scripts. Integrating advanced analytics solutions into enterprise apps involves not just generating predictions, but supporting the whole life-cycle from data collection, to model building, model assessment, and then outcome assessment and feedback to the model building process again. Application and web interface designers need to take into account how end users will see and use the advanced analytics results, e.g., supporting operations staff that need to handle the potentially fraudulent transactions. As just described, advanced analytics projects can be "complicated" from just a human perspective. The extent to which software can simplify the interactions among users and systems will increase the likelihood of project success. The ability to quickly operationalize advanced analytics projects and demonstrate measurable value, means the difference between a successful project and just a nice research report. By standardizing on Oracle Database and SQL invocation of R, along with in-database modeling as found in Oracle Advanced Analytics, expedient model deployment and zero downtime for refreshing models becomes a reality. Meanwhile, data scientists are also able to explore leading edge techniques available in open source. The Oracle solution propels the entire organization forward to realize the value of advanced analytics.

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  • Oracle E-Business Suite 12 Certified on Additional Linux Platforms

    - by John Abraham
    As a follow up to our original certification announcement regarding Oracle Linux 6, Oracle E-Business Suite Release 12 (12.1.1 and higher) is now certified on the following additional Linux x86/x86-64 operating systems: Oracle Linux 6 (32-bit) Red Hat Enterprise Linux 6 (32-bit) Red Hat Enterprise Linux 6 (64-bit) Novell SUSE Linux Enterprise Server (SLES) version 11 (64-bit) New installations of the E-Business Suite on these operating systems require version 12.1.1 of the Release 12 media.  Cloning of existing 12.1 Linux environments to this new OS is also certified using the standard Rapid Clone process. There are specific requirements to upgrade technology components such as the Oracle Database (to 11gR2) and Fusion Middleware as necessary. These and other requirements are noted in the Installation and Upgrade Notes (IUN) below. References Oracle E-Business Suite Installation and Upgrade Notes Release 12 (12.1.1) for Linux x86-64 (My Oracle Support Document 761566.1) Oracle E-Business Suite Installation and Upgrade Notes Release 12 (12.1.1) for Linux x86 (My Oracle Support Document 761564.1) Cloning Oracle Applications Release 12 with Rapid Clone (My Oracle Support Document 406982.1) Interoperability Notes Oracle E-Business Suite Release 12 with Oracle Database 11g Release 2 (11.2.0) (My Oracle Support Document 1058763.1) Oracle Linux website

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  • Methods to Manage/Document "one-off" Reports

    - by Jason Holland
    I'm a programmer that also does database stuff and I get a lot of so-called one-time report requests and recurring report requests. I work at a company that has a SQL Server database that we integrate third-party data with and we also have some third-party vendors that we have to use their proprietary reporting system to extract data in flat file format from that we don't integrate into SQL Server for security reasons. To generate many of these reports I have to query data from various systems, write small scripts to combine data from the separate systems, cry, pull my hair, curse the last guy's name that made the report before me, etc. My question is, what are some good methods for documenting the steps taken to generate these reports so the next poor soul that has to do them won't curse my name? As of now I just have a folder with subfolders per project with the selects and scripts that generated the last report but that seems like a "poor man's" solution. :)

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