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Jessica Qiu

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Top Stories by Jessica Qiu

In the actual business, data analysis and statistical computation as well as report preparation are required no matter for the management of inventory and human resources, or calculation of customer information and sales data. In this case, a tool which can handle different datasource like text, spreadsheet, database, etc. is needed in urgent. However, most of statistical computation software needs modeling before computation and analysis which reduces flexibility to meet analysts' ever-changing demands. At the same time, complex datasource and abstract formula increase difficulty for self-service reporting. In order to solve the above mentioned problems in business data computing and reporting, Raqsoft is going to launch esCalc, a powerful data processing tool. The upcoming esCalc is targeting at helping analysts achieve self-service analysis and reporting. It wil... (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)

Visualized Calculation by Empowering Spreadsheet with SQL Ability

Spreadsheet software is widely used by people in every industry with flexibility for data computing and analysis. But due to inherent drawbacks, common business spreadsheet software can't conduct relational query like SQL. The spreadsheet can implement the visualized calculation to some extent, and the nontechnical people can perform some rather complex calculations without having to learn the SQL. However, as the core of SQL, the relational query is unable to be implemented through common business spreadsheet software, which adds complexity to the apparently simple problems of mu... (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)

Which Tool Will You Choose for Java: Hibernate, esProc, SQL, iBATIS or R?

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... (more)