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Databases

The columnar storage is good, especially when there are lots of tabular fields (this is quite common). In querying, the data to traverse is far less than that on the row storage. Less data to traverse brings less I/O workloads and higher query speed. However, the Hadoop application consumes most time on the hard disk I/O without columnar storage. Both Hive and Impala support columnar storage, but...
on Jan 24, 2014
The data warehouse is essential to enterprise business intelligence, which accounts for a great part of the total enterprise cost. With the global data explosion in recent years, the business data volume grow significantly, posing a serious challenge for enterprise data warehouse to meet the diverse and complex business demands. More data, more data warehouse applications, more concurrent...
on Dec 11, 2013
In Java, implementing via SQL is a well-developed practice for database computation. However, the structured data is not only stored in the database, but also in the text, Excel, and XML files. Considering this, how to compute appropriately regarding the structured data from non-database files? This article raises 3 solutions for your reference: implement via Java API, convert to database...
on Aug 29, 2013
According to research, most complex report development work can be simplified by performing the data source computation in advance. For example, find out the clients who bought all products in the given list, and then present the details of these clients. In developing such reports, it is the “computation” part and not the “presentation” part that brings about major difficulties. In which stage...
on Aug 20, 2013
In report development, we may need to present the data from multiple databases in one report, such as data from MSSQL database for CRM and Oracle database for ERP. If the reporting tool like iReport only supports single data source, then we need to consolidate the multiple data sources into a single data source. The Crystal, BIRT, and other so-called reporting tools for multiple data source can...
on Aug 6, 2013

J2EE

According to research, most complex report development work can be simplified by performing the data source computation in advance. For example, find out the clients who bought all products in the given list, and then present the details of these clients. In developing such reports, it is the “computation” part and not the “presentation” part that brings about major difficulties. In which stage...
on Sep 11, 2013

Programming

In Java development, the typical data computation problems are characterized with: Long computation procedure requiring a great deal of debugging Data may from database, or Excel/Txt Data may from multiple databases, instead of just one. Some computation goals are complex, such as relative position computation, and set-related computation Just suppose a sales department needs to make statistics...
on Aug 13, 2013
In Java development, we may encounter the complex set operations. Java alone is not powerful enough to save programmers’ efforts in implementing the computation details, which is time-consuming and poor in code reuse. In view of this, programmers usually resort to dynamic calculation script for set operation. SQL is surely the first kind of script that comes into most programmers’ mind. However,...
on Jul 16, 2013

Tools

The data computation layer in between the data persistent layer and the application layer is responsible for computing the data from data persistence layer, and returning the result to the application layer. The data computation layer of Java aims to reduce the coupling between these two layers and shift the computational workload from them. The typical computation layer is characterized with...
on Jul 31, 2013
Recently, I read Why Big Data Projects Fail by Stephen Brobst. I can’t agree more with his opinions which exposed the problem I’ve been worried about. In this article, I am going to further discuss this topic to remind the enterprises to beware of falling into such pitfall of failure. Let’s have a look on a positive example. As a successful enterprise in leveraging big data, how does Google make...
on Jul 24, 2013