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Looking for Cutting-Edge Data Integration: 2014 Excellence Awards

- by Sandrine Riley

Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 It is nomination time!!! This year's Oracle Fusion Middleware Excellence Awards will honor customers and partners who are creatively using various products across Oracle Fusion Middleware. Think you have something unique and innovative with one or a few of our Oracle Data Integration products? We would love to hear from you! Please submit today. The deadline for the nomination is June 20, 2014. What you win: An Oracle Fusion Middleware Innovation trophy One free pass to Oracle OpenWorld 2014 Priority consideration for placement in Profit magazine, Oracle Magazine, or other Oracle publications & press release Oracle Fusion Middleware Innovation logo for inclusion on your own Website and/or press release Let us reminisce a little… For details on the 2013 Data Integration Winners: Royal Bank of Scotland’s Market and International Banking and The Yalumba Wine Company, check out this blog post: 2013 Oracle Excellence Awards for Fusion Middleware Innovation… and the Winners for Data Integration are… and for details on the 2012 Data Integration Winners: Raymond James and Morrisons, check out this blog post: And the Winners of Fusion Middleware Innovation Awards in Data Integration are… Now to view the 2013 Winners (for all categories). We hope to honor you! Here's what you need to do: Click here to submit your nomination today. And just a reminder: the deadline to submit a nomination is 5pm Pacific Time on June 20, 2014. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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Help with Perl persistent data storage using Data::Dumper

- by stephenmm

I have been trying to figure this out for way to long tonight. I have googled it to death and none of the examples or my hacks of the examples are getting it done. It seems like this should be pretty easy but I just cannot get it. Here is the code: #!/usr/bin/perl -w use strict; use Data::Dumper; my $complex_variable = {}; my $MEMORY = "$ENV{HOME}/data/memory-file"; $complex_variable->{ 'key' } = 'value'; $complex_variable->{ 'key1' } = 'value1'; $complex_variable->{ 'key2' } = 'value2'; $complex_variable->{ 'key3' } = 'value3'; print Dumper($complex_variable)."TEST001\n"; open M, ">$MEMORY" or die; print M Data::Dumper->Dump([$complex_variable], ['$complex_variable']); close M; $complex_variable = {}; print Dumper($complex_variable)."TEST002\n"; # Then later to restore the value, it's simply: do $MEMORY; #eval $MEMORY; print Dumper($complex_variable)."TEST003\n"; And here is my output: $VAR1 = { 'key2' => 'value2', 'key1' => 'value1', 'key3' => 'value3', 'key' => 'value' }; TEST001 $VAR1 = {}; TEST002 $VAR1 = {}; TEST003 Everything that I read says that the TEST003 output should look identical to the TEST001 output which is exactly what I am trying to achieve. What am I missing here? Should I be "do"ing differently or should I be "eval"ing instead and if so how? Thanks for any help...

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Relational database data explorer / visualization?

- by Ian Boyd

Is there a tool that can let one browse relational data as a graph of connected nodes? For example, i'm faced with trying to cleanse some anomolous data. i can start with two offending rows. In this particular example, the TransactionID should, by business rules, be unique to the table, but i find a transaction that violates that rule: SELECT * FROM LCTTrans WHERE TransactionID = 1075048 LCTID TransactionID ========= ============= 4358 1075048 4359 1075048 2 row(s) affected But really what i want to begin to hunt down all the related data, to try to see which is right. So this hypothetical software would start by showing me these two rows: Next, i want to see that transaction that is linked into this table: Now that transaction points to an MAL, so show me that: Now lets add those two LCTs, that the transaction is "on". A transaction can be on only one LCT, yet this one is pointing to two: Okay computer, both of those LCTs point to an MAL and the transaction that created them, show me those: Those last two transactions, they also point at an MAL, and they themselves point to an LCT, show me those: Okay, now are there any entries in LCTTrans that point to LCTs 4358 or 4359?... And so on, and so on. Now i did all this manually, running single selects, copying and pasting uniqueidentifier keys and converting them into friendly id numbers so i could easily see the relationships. Is there software that can do this?

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How to properly set relationships in Core Data when using setValue and data already exists

- by ern

Let's say I have two objects: Articles and Categories. For the sake of this example all relevant categories have already been added to the data store. When looping through data that holds edits for articles, there is category relationship information that needs to be saved. I was planning on using the -setValue method in the Article class in order to set the relationships like so: - (void)setValue:(id)value forUndefinedKey:(NSString *)key { if([key isEqualToString:@"categories"]){ NSLog(@"trying to set categories..."); } } The problem is that value isn't a Category, it is just a string (or array of strings) holding the title of a category. I could certainly do a lookup within this method for each category and assign it, but that seems inefficient when processing a whole bunch of articles at once. Another option is to populate an array of all possible categories and just filter, but my question is where to store that array? Should it be a class method on Article? Is there a way to pass in additional data to the -setValue method? Is there another, better option for setting the relationship I'm not thinking of? Thanks for your help.

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Using a "white list" for extracting terms for Text Mining, Part 2

- by [email protected]

In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE cursor c2 is select id, text from documents; BEGIN for r_c2 in c2 loop insert into extracted_tokens select r_c2.id id, main_term token from my_thesaurus_rules where matches(query_string, r_c2.text)>0; end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as with num_docs as (select count(distinct id) doc_cnt from extracted_tokens), tf as (select a.id, a.token, a.token_cnt/b.num_tokens token_freq from (select id, token, count(*) token_cnt from extracted_tokens group by id, token) a, (select id, count(*) num_tokens from extracted_tokens group by id) b where a.id=b.id), doc_freq as (select token, count(*) overall_token_cnt from extracted_tokens group by token) select tf.id, tf.token, token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf from num_docs, tf, doc_freq df where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt NESTED TABLE extracted_tokens_tfidf_1 STORE AS extracted_tokens_tfidf_tab AS select id, cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1 from extracted_tokens_tfidf group by id; To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.clus_num_clusters, 20); INSERT INTO km_settings (setting_name, setting_value) VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.kmns_iterations,20); INSERT INTO km_settings (setting_name, setting_value) VALUES VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size); COMMIT; END; With this in place, we can now build the clustering model. BEGIN DBMS_DATA_MINING.CREATE_MODEL( model_name => 'TEXT_CLUSTERING_MODEL', mining_function => dbms_data_mining.clustering, data_table_name => 'extracted_tokens_tfidf_nt', case_id_column_name => 'id', settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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Suggested Web Application Framework and Database for Enterprise, “Big-Data” App?

- by willOEM

I have a web application that I have been developing for a small group within my company over the past few years, using Pipeline Pilot (plus jQuery and Python scripting) for web development and back-end computation, and Oracle 10g for my RDBMS. Users upload experimental genomic data, which is parsed into a database, and made available for querying, transformation, and reporting. Experimental data sets are large and have many layers of metadata. A given experimental data record might have a foreign key relationship with a table that describes this data point's assay. Assays can cover multiple genes, which can have multiple transcript, which can have multiple mutations, which can affect multiple signaling pathways, etc. Users need to approach this data from any point in those layers in the metadata. Since all data sets for a given data type can run over a billion rows, this results in some large, dynamic queries that are hard to predict. New data sets are added on a weekly basis (~1GB per set). Experimental data is never updated, but the associated metadata can be updated weekly for a few records and yearly for most others. For every data set insert the system sees, there will be between 10 and 100 selects run against it and associated data. It is okay for updates and inserts to run slow, so long as queries run quick and are as up-to-date as possible. The application continues to grow in size and scope and is already starting to run slower than I like. I am worried that we have about outgrown Pipeline Pilot, and perhaps Oracle (as the sole database). Would a NoSQL database or an OLAP system be appropriate here? What web application frameworks work well with systems like this? I'd like the solution to be something scalable, portable and supportable X-years down the road. Here is the current state of the application: Web Server/Data Processing: Pipeline Pilot on Windows Server + IIS Database: Oracle 10g, ~1TB of data, ~180 tables with several billion-plus row tables Network Storage: Isilon, ~50TB of low-priority raw data

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Simple ADF page using BAM Data Control

- by [email protected]

var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-15829414-1"); pageTracker._trackPageview(); } catch(err) {} Purpose : In this blog I will walk you through very simple steps to create an ADF page using BAM data control connection.Details : Create the projectOpen JDeveloper (make sure you have installed the SOA extension for JDev)Create new Application using "Generic Application" template.Click on "Next"Shuttle "ADF Faces" to right pane for the project technology.Click "Finish"Create a BAM connectionIn the resource palette click on "Folder->New Connection -> BAM"Enter the connection name and click "Next"Enter Connection details Click on "Test connection" and "Finish"Create the BAM Data Control Open the IDE connection created in above step.Drag and drop "Employees" to "Data controls" palette.Select "Flat Query" and Click "Finish".Create the View Create a new JSF page.From Data control Panel drag and drop "Employees->Query->ADF Read Only table"Right click and Run the page.

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Introducing the Industry's First Analytics Machine, Oracle Exalytics

- by Manan Goel

Analytics is all about gaining insights from the data for better decision making. The business press is abuzz with examples of leading organizations across the world using data-driven insights for strategic, financial and operational excellence. A recent study on “data-driven decision making” conducted by researchers at MIT and Wharton provides empirical evidence that “firms that adopt data-driven decision making have output and productivity that is 5-6% higher than the competition”. The potential payoff for firms can range from higher shareholder value to a market leadership position. However, the vision of delivering fast, interactive, insightful analytics has remained elusive for most organizations. Most enterprise IT organizations continue to struggle to deliver actionable analytics due to time-sensitive, sprawling requirements and ever tightening budgets. The issue is further exasperated by the fact that most enterprise analytics solutions require dealing with a number of hardware, software, storage and networking vendors and precious resources are wasted integrating the hardware and software components to deliver a complete analytical solution. Oracle Exalytics In-Memory Machine is the world’s first engineered system specifically designed to deliver high performance analysis, modeling and planning. Built using industry-standard hardware, market-leading business intelligence software and in-memory database technology, Oracle Exalytics is an optimized system that delivers answers to all your business questions with unmatched speed, intelligence, simplicity and manageability. Oracle Exalytics’s unmatched speed, visualizations and scalability delivers extreme performance for existing analytical and enterprise performance management applications and enables a new class of intelligent applications like Yield Management, Revenue Management, Demand Forecasting, Inventory Management, Pricing Optimization, Profitability Management, Rolling Forecast and Virtual Close etc. Requiring no application redesign, Oracle Exalytics can be deployed in existing IT environments by itself or in conjunction with Oracle Exadata and/or Oracle Exalogic to enable extreme performance and best in class user experience. Based on proven hardware, software and in-memory technology, Oracle Exalytics lowers the total cost of ownership, reduces operational risk and provides unprecedented analytical capability for workgroup, departmental and enterprise wide deployments. Click here to learn more about Oracle Exalytics.

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Data Aggregation of CSV files java

- by royB

I have k csv files (5 csv files for example), each file has m fields which produce a key and n values. I need to produce a single csv file with aggregated data. I'm looking for the most efficient solution for this problem, speed mainly. I don't think by the way that we will have memory issues. Also I would like to know if hashing is really a good solution because we will have to use 64 bit hashing solution to reduce the chance for a collision to less than 1% (we are having around 30000000 rows per aggregation). For example file 1: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,50,60,70,80 a3,b2,c4,60,60,80,90 file 2: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,30,50,90,40 a3,b2,c4,30,70,50,90 result: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,80,110,160,120 a3,b2,c4,90,130,130,180 algorithm that we thought until now: hashing (using concurentHashTable) merge sorting the files DB: using mysql or hadoop or redis. The solution needs to be able to handle Huge amount of data (each file more than two million rows) a better example: file 1 country,city,peopleNum england,london,1000000 england,coventry,500000 file 2: country,city,peopleNum england,london,500000 england,coventry,500000 england,manchester,500000 merged file: country,city,peopleNum england,london,1500000 england,coventry,1000000 england,manchester,500000 The key is: country,city. This is just an example, my real key is of size 6 and the data columns are of size 8 - total of 14 columns. We would like that the solution will be the fastest in regard of data processing.

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SQL – Download FREE Book – Data Access for HighlyScalable Solutions: Using SQL, NoSQL, and Polyglot Persistence

- by Pinal Dave

Recently I was preparing for Big Data and I ended up on very interesting read for everybody. This is created by Microsoft and it is indeed a fantastic read as per my opinion. It took me some time to read this entire book but it was worth reading this as it tried to answer two of the very interesting questions related to muscle. Here is the abstract from the book: Organizations seeking to use a NoSQL database are therefore faced with a twofold challenge: • Which NoSQL database(s) best meet(s) the needs of the organization? • How does an organization integrate a NoSQL database into its solutions? As I keep on reading the book, I find it very interesting and informative. I suggest if you have time this weekend, download the book and read it. This guide focuses on the most common types of NoSQL database currently available, describes the situations for which they are most suited, and shows examples of how you might incorporate them into a business application. The guide summarizes the experiences of a fictitious organization named Adventure Works, who implemented a solution that comprised an assortment of different databases. Download Data Access for HighlyScalable Solutions: Using SQL, NoSQL, and Polyglot Persistence While we are talking about Big Data and NoSQL do not forget to check out my tomorrow’s blog as I am going to talk about the same subject and it will be very interesting. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, NoSQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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Data structure for bubble shooter game

- by SundayMonday

I'm starting to make a bubble shooter game for a mobile OS. Assume this is just the basic "three or more same-color bubbles that touch pop" and all bubbles that are separated from their group fall/pop. What data structures are common for storing the bubbles? I've considered using an undirected, connected graph where each node is a bubble. This seems like it could help answer the question "which bubbles (if any) should fall now?" after some arbitrary bubbles are popped and corresponding nodes are removed from the graph. I think the answer is all bubbles that were just disconnected from the graph should fall. However the graph approach might be overkill so I'm not sure. Another consideration for the data structure is collision detection. Perhaps being able to grab a list of neighboring bubbles in constant time for a particular "bubble slot" is useful. So the collision detection would be something like "moving bubble is closest to slot ij, neighbors of slot ij are bubbles a,b,c, moving bubble is sufficiently close to bubble b hence moving bubble should come to rest in slot ij". A game like this could be probably be made with a relatively crude grid structure as the primary data structure. However it seems like answering "which bubbles (if any) should fall now?" would be trickier with this data structure.

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Can JSON be made easily and safely editable by the non-technical Excel crowd?

- by glitch

I'm looking for a data storage format that's very intuitive and easy to edit. It should be ideally targeted towards the same crowd as Excel. At the same time I would like the data structure to be a tree. Ideally this would be JSON, since it offers both the tree aspect and allows for more interesting constructs like arrays. That and parsing libraries for JSON are ubiquitous, so I don't have to reinvent the wheel. The problem is that, at least with a non-specialized text editor, JSON is a giant pain to edit for a non-technical user. I'm thinking along the lines of someone who might have used Excel in the past, but never a real text editor. Someone who might not be comfortable with the idea of preserving JSON syntax by hand. Are there data formats out there that would fit this profile? I'd very much prefer this to be a JSON actually, but then it would require a solid editing tool that would hide the underlying implementation from the user. Think Excel and how it abstracts CSV syntax from the user. The reason I'm looking for something like this is because the team has been working with pretty hierarchical data for a while now and we've hit the limits of how easy it is to represent in simple CSVs without having to create complex rules for how represent hierarchy semantics from each row. Any suggestions?

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How to analyze data

- by Subhash Dike

We are working on an application that allows user to search/read some content in a particular domain. We wanted to add some capability in the app which can suggest user some content based on the usage pattern (analyze data based on frequency and relevance). Currently every time user search or read something we do store that information in backend database. We would like to use this data to present some additional content to user. Could someone explain what kind of tools will be required for such a job and any example? And what this concept is called, data analysis? data mining? business intelligence? or something else? Update: Sorry for being too broad, here is an example SQL Database (Just to give an idea, actual db is little different with normalization and stuff) Table: UserArticles Fields: UserName | ArticleId | ArticleTitle | DateVisited | ArticleCategory Table: CategoryArticles Fields: Category | Article Title | Author etc. One Category may have one more articles. One user may have read the same article multiple times (in this case we place additional entry in the user article table. Task: Use the information availabel in UserArticle table and rank categories in order which would be presented to user automatically in other part of application. Factors to be considered are frequency and recency. This might be possible through simple queries or may require specialized tools. Either way, the task is what mention above. I am not too sure which route to take, hence the question. Thoughts??

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Data Synchronization in mobile apps - multiple devices, multiple users

- by ProgrammerNewbie

I'm looking into building my first mobile app. One of the core features of the application is that multiple devices/users will have access to the same data -- and all of them will have CRUD rights. I believe the architecture should involve a central server where all the data is stored. The devices will use an API to interact with the server to perform its data operations (e.g. adding a record, editing a record, deleting a record). I imagine a scenario where synchronizing the data will become a problem. Assume the application should work when it is not connected to the Internet, and thus cannot communicate with this central server. So: User A is offline and edits record #100 User B is offline and edits record #100 User C is offline and deletes record #100 User C goes online (presumably, record #100 should get deleted on the server) User A and B goes online, but the records they edited no longer exist All sorts of scenarios similar to the above can come up. How is this generally handled? I plan to use MySQL, but am wondering if it's not appropriate for such a problem.

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data source does not support server-side data paging uisng asp.net Csharp

- by Aamir Hasan

Yesterday some one mail me and ask about data source does not support server side data paging.So i write the the solution here please if you have got this problem read this article and see the example code this will help you a Lot.The only change you have to do is in the DataBind().Here you have used the SqlDataReader to read data retrieved from the database, but SqlDataReader is forward only. You can not traverse back and forth on it.So the solution for this is using DataAdapter and DataSet.So your function may change some what like this private void DataBind(){//for grid viewSqlCommand cmdO;string SQL = "select * from TABLE ";conn.Open();cmdO = new SqlCommand(SQL, conn);SqlDataAdapter da = new SqlDataAdapter(cmdO);DataSet ds = new DataSet();da.Fill(ds);GridView1.Visible = true;GridView1.DataSource = ds;GridView1.DataBind();ds.Dispose();da.Dispose();conn.Close();} This surely works. The reset of your code is fine. Enjoy coding.

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Automapper use in a MVVM application

- by Echiban

I am building a MVVM application. The model / entity (I am using NHibernate) is already done, and I am thinking of using AutoMapper to map between the ViewModel and Model. However this clause scares the jebus out of me: (from http://www.lostechies.com/blogs/jimmy_bogard/archive/2009/01/22/automapper-the-object-object-mapper.aspx) Blockquote AutoMapper enforces that for each type map (source/destination pair), all of the properties on the destination type are matched up with something on the source type To me, the logical choice is to map from model to viewmodel, (and I'll let viewmodel manually assign to model), but the quote basically kills the idea since the viewmodel will definitely have properties that don't exist on the model. How have you been using Automapper in a MVVM app? Please help!

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Recommend .NET data access layer/middle tier

- by Simon G

Hi, I'm currently creating an MVC application that will likely to expand to include a silverlight, wpf and possible windows phone all using the same data. So I've created a class library to keep all my objects in and I've created the MVC app. My question is what would be the best way to access the data? Taking into account possible expansion in the future. Should I use web services/WCF? RIA Services? Remoting? Or something else. What have people used in the past and what do you recommend? Thanks

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Smarter, Faster, Cheaper: The Insurance Industry’s Dream

- by Jenna Danko

On June 3rd, I saw the Gaylord Resort Centre in Washington D.C. become the hub of C level executives and managers of insurance carriers for the IASA 2013 Conference. Insurance Accounting/Regulation and Technology sessions took the focus, but there were plenty of tertiary sessions for career development, which complemented the overall strong networking side of the conference. As an exhibitor, Oracle, along with several hundred other product providers, welcomed the opportunity to display and demonstrate our solutions and we were encouraged by hustle and bustle of the exhibition floor. The IASA organizers had pre-arranged fast track tours whereby interested conference delegates could sign up for a series of like-themed presentations from Vendors, giving them a level of 'Speed Dating' introductions to possible solutions and services. Oracle participated in a number of these, which were very well subscribed. Clearly, the conference had a strong business focus; however, attendees saw technology as a key enabler to get their processes done smarter, faster and cheaper. As we navigated through the exhibition, it became clear from the inquiries that came to us that insurance carriers are gravitating to a number of focus areas: Navigating the maze of upcoming regulatory reporting changes. For US carriers with European holdings, Solvency II carries a myriad of rules and reporting requirements. Alignment across the globe of the Own Risk and Solvency Assessment (ORSA) processes brings to the fore the National Insurance of Insurance commissioners' (NAIC) recent guidance manual publication. Doing more with less and to certainly expect more from technology for less dollars. The overall cost of IT, in particular hardware, has dropped in real terms (though the appetite for more has risen: more CPU, more RAM, more storage), but software has seen less change. Clearly, customers expect either to pay less or get a lot more from their software solutions for the same buck. Doing things smarter – A recognition that with the advance of technology to stand still no longer means you are technically going backwards. Technology and, in particular technology interactions with human business processes, has undergone incredible change over the past 5 years. Consumer usage (iPhones, etc.) has been at the forefront, but now at the Enterprise level ever more effective technology exploitation is beginning to take place. That data and, in particular gleaning knowledge from data, is refining and improving business processes. Organizations are now consuming more data than ever before, and it is set to grow exponentially for some time to come. Amassing large volumes of data is one thing, but effectively analyzing that data is another. It is the results of such analysis that leads to improvements both in terms of insurance product offerings and the processes to support them. Regulatory Compliance, damned if you do and damned if you don’t! Clearly, around the globe at lot is changing from a regulatory perspective and it is evident that in terms of regulatory requirements, whilst there is a greater convergence across jurisdictions bringing uniformity, there is also a lot of work to be done in the next 5 years. Just like the big data, hidden behind effective regulatory compliance there often lies golden nuggets that can give competitive advantages. From Oracle's perspective, our Rating Engine, Billing, Document Management and Insurance Analytics solutions on display served to strike up good conversations and, as is always the case at conferences, it was a great opportunity to meet and speak with existing Oracle customers that we might not have otherwise caught up with for a while. Fortunately, I was able to catch up on a few sessions at the close of the Exhibition. The speaker quality was high and the audience asked challenging, but pertinent, questions. During Dr. Jackie Freiberg’s keynote “Bye Bye Business as Usual,” the author discussed 8 strategies to help leaders create a culture where teams consistently deliver innovative ideas by disrupting the status quo. The very first strategy: Get wired for innovation. Freiberg admitted that folks in the insurance and financial services industry understand and know innovation is important, but oftentimes they are slow adopters. Today, technology and innovation go hand in hand. In speaking to delegates during and after the conference, a high degree of satisfaction could be measured from their positive comments of speaker sessions and the exhibitors. I suspect many will be back in 2014 with Indianapolis as the conference location. Did you attend the IASA Conference in Washington D.C.? If so, I would love to hear your comments. Andrew Collins is the Director, Solvency II of Oracle Financial Services. He can be reached at andrew.collins AT oracle.com.

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Is Master Data Management CRM's Secret Sauce?

- by divya.malik

This was the title of a recent blog entry by our colleagues in EMEA. Having a good master data management system enables organizations to get a unified, accurate and complete understanding of their customers. Gartner Group's John Radcliffe explains why MDM is destined to be at the heart of future CRM and social CRM projects. Experts are predicting big things for master data management (MDM) in the immediate future. While far from being a new kid on the block, its potential benefits at a time when organisations are drowning in data mean that it is in the right place at the right time. "MDM is not 'nice to have'," explains John Radcliffe, research vice president at Gartner. "If tackled in the right way it can provide near term business value that plays into an organisation's new focus on cost efficiencies, risk management and regulatory compliance, while supporting growth and future transformative strategies." The complete article can be found here.

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T-SQL Tuesday #006: Tiger/Line Spatial Data

- by Mike C

This month’s T-SQL Tuesday post is about LOB data http://sqlblog.com/blogs/michael_coles/archive/2010/05/03/t-sql-tuesday-006-what-about-blob.aspx . For this one I decided to post a sample Tiger/Line SQL database I use all the time in live demos. For those who aren't familiar with it, Tiger/Line data is a dataset published by the U.S. Census Bureau . Tiger/Line has a lot of nice detailed geospatial data down to a very detailed level. It actually goes from the U.S. state level all the way down to...(read more)

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how to dinamically add controls in asp.net Dynamic Data

- by loviji

Hello, i'm trying to work with asp.NET Dynamic Data. So, I see Dynamic Data not well learned by people as other technologies. now, to my question. Lets us work with Details.aspx page that located on ~\DynamicData\PageTemplates I need to add <asp:DynamicControl runat="server" to page into Form1.detailsTable. i've tried like this: protected DynamicControl myC=new DynamicControl(); protected void Page_Load(object sender, EventArgs e) { foreach(var c in table.Columns) { myC.DataField=c.DisplayName; FormView1.Controls.Add(myC); } } but I can not see the desired result. where is the problem. thanks

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Import and Export data from SQL Server 2005 to XL Sheet

- by SAMIR BHOGAYTA

For uploading the data from Excel Sheet to SQL Server and viceversa, we need to create a linked server in SQL Server. Expample linked server creation: Before you executing the below command the excel sheet should be created in the specified path and it should contain the name of the columns. EXEC sp_addlinkedserver 'ExcelSource2', 'Jet 4.0', 'Microsoft.Jet.OLEDB.4.0', 'C:\Srinivas\Vdirectory\Testing\Marks.xls', NULL, 'Excel 5.0' Once you executed above query it will crate linked server in SQL Server 2005. The following are the Query from sending the data from Excel sheet to SQL Server 2005. INSERT INTO emp SELECT * from OPENROWSET('Microsoft.Jet.OLEDB.4.0', 'Excel 8.0;Database=C:\text.xls','SELECT * FROM [sheet1$]') The following query is for sending the data from SQL Server 2005 to Excel Sheet. insert into OPENROWSET('Microsoft.Jet.OLEDB.4.0', 'Excel 8.0;Database=c:\text.xls;', 'SELECT * FROM [sheet1$]') select * from emp

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POX return data from WCF Data Services

- by keithwarren7

I am using WCF Data Services (netfx4) to provide data sourced from SQL via EF, the standard OData mechanism is fine and JSON works as well but I need a third option for generic POX (plain old xml). I have yet to come across a simple strategy or switch that allows me to control this but I am sure one must exist or a workaround method might be available. Any ideas? Ideally I would like to be able to use something like the JSONP option wherein I append 'format=JSON' to the URL, in this case 'format=pox' or 'POX=true' or something of that nature.

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Data structure: sort and search effectively

- by Jiten Shah

I need to have a data structure with say 4 keys . I can sort on any of these keys. What data structure can I opt for? Sorting time should be very little. I thought of a tree, but it will be only help searching on one key. For other keys I'll have to remake the tree on that particular key and then find it. Is there any data structure that can take care of all 4 keys at the same time? these 4 fields are of total 12 bytes and total size for each record - 40 bytes.. have memory constraints too... operations are : insertion, deletion, sorting on different keys.

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How to dynamically add controls in asp.net Dynamic Data

- by loviji

Hello, i'm trying to work with asp.NET Dynamic Data. So, I see asp.NET Dynamic Data not well learned by people as other technologies. now, to my question. Lets us work with Details.aspx page that located on ~\DynamicData\PageTemplates I need to add <asp:DynamicControl runat="server" to page into Form1.detailsTable. i've tried like this: protected DynamicControl myC=new DynamicControl(); protected void Page_Load(object sender, EventArgs e) { foreach(var c in table.Columns) { myC.DataField=c.DisplayName; FormView1.Controls.Add(myC); } } but I can not see the desired result. where is the problem. thanks

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