Jessica Qiu

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Top Stories by Jessica Qiu

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 below features: Ability to compute on the data from arbitrary data persistence layers, not only databases, but also the non-database Excel, Txt, or XML files. Of all these computations, the key is the computation on the commonest structured data. Ability to perform the interactive computations among various data sources uniformly, not only including the computation among different databases, but also calculation between the databases and non-database data sources. The coupling... (more)

Hadoop + esProc Help You Replace IOE

What is IOE? I=IBM, O=Oracle, and E=EMC. They represent the typical high-end database and data warehouse architecture. The high-end servers include HP, IBM, and Fujitsu, the high-end database software includes Teradata, Oracle, Greenplum; the high-end storages include EMC, Violin, and Fusion-io. In the past, such typical high performance database architecture is the preference of large and middle sized organizations. They can run stably with superior performance, and became popular when the informatization degree was not so high and the enterprise application was simple. With the ... (more)

Issue of Reporting Development in Different Databases

Recently a development team met some difficulties in data source computation when developing iReport reports. After the use of esProc for cross database computation, the problem is resolved. This is a project payment progress report, as part of a project management system. It's based on an Oracle database. The reports needs to present the project name, payment amount, contract value, payment progress (in percentage), and name of the project manager, etc., for all ongoing projects. Amount these the first 3 items contributes to the difficulties met by the development team. Note t... (more)

Data Environments Support of esProc Makes Statistical Computing More Flexible

Enterprises always have various data sources, for instance, CRM system may use SQL Server, sales reports adopt Excel, ERP applies Oracle database. When it comes to actual business analysis, enterprises usually need to conduct interactive computation, including filter, group, etc among various data environments. But data Interaction between multiple data sources are not easy to realize with some traditional statistical computing tools. In order to solve such kind of problems, esProc which adapts to various data environments comes into being. Support of various data sources is an... (more)

Will Big Data Fall into the Pitfall of Failure?

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. t Let’s have a look on a positive example. As a successful enterprise in leveraging big data, how does Google make use of the big data? 1. Collect the row data, capture the contents of each website, e-mail, or Cookie, and extract the key information. 2. Create the complex syndetic index for this inf... (more)