The present market is flooded with a wide range of data processing tools. In such a case, it’s important to choose the best tools that will align with your business objectives. Because the data processing tool that may work for one organization may not work for another.

Data processing tools have got the maximum use in data science and big data. Professionals with in-depth knowledge of data processing tools and looking for lucrative job opportunities in West Bengal can go for a data science course in kolkata with placement.

 

Hadoop

Apache Hadoop is primarily a big data framework that helps in distribution of large data processing across different connected computers. It possesses the ability of scaling up from a single server to a large number of different machines. It includes authentication enhancements while using HTTPS proxy server for additional security. Now, Hadoop supports the POSIX style file system and other additional attributes. This is advantageous for clients who need to work with different types of file types. Additionally, Hadoop offers an excellent and powerful ecosystem which is best suited for showing detailed analytics for the needs of developers.

 

HPCC

It’s a big data software tool that has been developed by LexisNexis Risk Solution. The tool is highly efficient in completing big data tasks with very less code input. The tool offers high redundancy and can be accessed all the year round. Since the tool runs on a single programming language, it eases the testing and debugging processes. Additionally, it offers a user-friendly Graphical IDE that optimizes code automatically for you, and thus easing out debugging.

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Storm

Storm is a data processing tool that can be accessed free of cost and offers a real-time distributed processing system. Additionally, it offers real-time computational abilities that can support clusters or machines. This data processing tool is capable of processing nearly one million 100 bytes of data per second per node. This tool is highly efficient as it makes use of parallel calculations that can run via various arrays of machines.

 

Qubole

It’s an autonomous platform for data management. The tool possesses the ability to self-optimize itself and manage the data on its own. The tool offers a single platform for every use case and is built for supporting cloud and open source engines. Additionally, it offers insights, alerts and recommendations for maximizing performance, cost and reliability. The tool saves a lot of time during data processing due to its ability to avoid repetitive manual actions.

 

Pentaho

It’s an extensive data processing tool that is capable of extracting, preparing or blending large amounts of data. Furthermore, it offers access to data and integration for large data visualization. The tool possesses the ability of combining or switching data processing cluster execution for getting maximum processing output. The tool lets you assess data by giving easy access to analytics information in addition to data visualization, charts and reports.

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Data processing tools play a major role in meeting business objectives as they help in gaining insights into the present and upcoming business trends. There are a wide array of data processing tools in the market, however, in this article, we have brought to you some of the best data processing tools that are easy to use and offer great results. We hope, now you must be aware of the best tools in the market.