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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)

An Example to Illustrate Hadoop Code Reuse

The MapReduce of Hadoop is a widely-used parallel computing framework. However, its code reuse mechanism is inconvenient, and it is quite cumbersome to pass parameters. Far different from our usual experience of calling the library function easily, I found both the coder and the caller must bear a sizable amount of precautions in mind when writing even a short pieces of program for calling by others. However, we finally find that esProc could easily realize code reuse in hadoop. Still a simple and understandable example of grouping and summarizing, let's check out a solution with... (more)

Be Aware of a Java Development Tool for Data Computing

In the process of development with Java, we will occasionally encounter the computation similar to data processing in database. For instance, there are two frequently updated Excel sheets, which are the clients' information and the orders. We need to query the data of clients who have bought all the products on the list through entering a dynamic product list. The "computation similar to data processing in database" refers to structured data computation of an application without database. Although Java is capable of handling such computation, the procedure is very cumbersome and v... (more)

Two Ideal Solutions to Complex Calculation on Set in Java

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, to their disappointments, SQL does not support the explicit set, and is unable to represent the sets of a set, ordered set, generic set, and only the result set can be recognized as a set... (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)