Pentaho Data Integration Tool

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MongoDB ushered in the primary data analysis function

To make it easier for everyone to introduce analytics into their large data storage systems, Pentaho today announced that the latest version of its Business analytics and data integration platform has officially entered the general phase. The Pentaho 5.1 is designed to provide a bridge between the "data and analysis two separate realms" to support all Pentaho users-from developers to data scientists to business analysts. Pentaho 5.1 for the direct MONGODB data storage system brought to run without making ...

Top 10 data mining tools most needed for big data

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

How do I pick the right big data or Hadoop platform?

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Hadoop MapReduce: A way for data scientists to explore

"The key is not in what methods, but in being able to really solve problems using any available tool or method," said Forrester analyst James Kobielus in a blog about Big data. "In recent years, with the urgent sense of solving big data problems, many organizations have started to explore the data architects."   In short, traditional databases and business intelligence tools that they typically use to analyze enterprise data are no longer competent for large data-processing tasks. To understand this challenge, we must go back to 10 years ago: There were very few t ...

Future predictions: Hadoop will not be able to handle large data alone

Hadoop will not be able to handle large data alone Sriram says, "Hadoop and MapReduce models are definitely one way to solve big data problems." But what you need to keep in mind is that Hadoop is just as good for batch processing as it is now. I believe that soon, we need to be able to process this data in real time. "Sriram, a Hadoop consultant, is not saying that this ubiquitous platform is slow. With such a powerful framework, a large amount of data can be processed within a minute, but that's not ...

The Hadoop market will continue to grow at a high rate 2020 years ago

Forecast industry trends for the Hadoop market (hardware, software, services and Haas, final applications, and geography) based on a recent report from the Joint market research (Allied harsh Research,amr): 2020, The global market for Hadoop is expected to grow at a compound annual growth rate of 58.2% in 2013-2020. Market share will rise from $2013 trillion to $2 billion by 2020 to $50.2 billion trillion, up from 25 times-fold. The demand for large data analysis is the whole hado ...

Documentburster 5.2.3 Publishing Report processing tools

Documentburster is a tool for obtaining metadata from a report file and sending that data through detach, merge, e-mail, or FTP. The supported report formats are: Crystal Reports, SSRS, MS Access, Cognos, Peoplesof, SAP. It also supports centralized Pentaho, jasperreports, and BIRT. You can also upload a report to Ms SharePoint. Documentburster 5 ...

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