Monthly Archives: December 2013

New parallel computing architechture for both database and hadoop

Hadoop is an outstanding distributed computing system. However, many users find MapReduce is too complex and too tough to manage, the response is too slow, the realtime is too poor, and the running is inefficient. In a word, it is … Continue reading

Posted in Big Data | Tagged , , | Leave a comment

Solution to Complex Computation of Report Data Source

There are many report data source issues involve complex computations. For example, find the products whose sales values are among the top 10 in every state, and present the sales details of these products. Obviously, the most difficult part of … Continue reading

Posted in Reporting tool | Tagged , , , , | Leave a comment

Integrating data from Multiple Sources for Single-Source Report

The report data sources cover the result set of SQL queries or stored procedures, and the 2D table from the text or Excel files. Owing to the technical competence or versioning, various reporting tools may only support a single data source, such … Continue reading

Posted in Reporting tool | Tagged , , , , , , | Leave a comment

Five methods of data consolidation for single source reporting tool

As the name indicates, the single source reporting tools refer to tools only support the report based on a single data set, for example, iReport, Birt, and Crystal. However, we often need to use the single source reporting tool to … Continue reading

Posted in Reporting tool | Tagged , , , , , , , , , , , , , , | 1 Comment

How does Hadoop realize memory computing with esProc

The low efficiency of Hadoop computation is an undeniable truth. We believe, one of the major reasons is that the underlying computational structure of MapReduce for Hadoop is basically of the external memory computation. The external memory computation implements the … Continue reading

Posted in Big Data | Tagged , , , , , | Leave a comment

R language VS. esProc: Top 3 Salespersons Ranking by Monthly Sales Amount

Both R language and esProc have the outstanding ability to perform the stepwise computation. However, in the particulars they differ from each other. To demonstrate the difference, a case is designed as follows: A company’s Sales department wants to select … Continue reading

Posted in Data Analytics, FAQ, Program Language | Tagged , , , | Leave a comment

A Parallel Computing Solution to Improve Hadoop

esProc is a brand new parallel computing framework with support for reading and writing to the files in HDFS and the full commitment to improve the computational capability, performance, and development efficiency of Hadoop. Enhance Computational Capability. The computational capability … Continue reading

Posted in Big Data | Tagged , , , | Leave a comment