Top 6 Open Source Big Data Tools for Business

Big Data is widely used for data analytics. It refers to the process of using predictive analytics, user behavior analytics or other advanced data analysis to extract value from a data set. Big Data. This kind of analysis helps them strategic decisions or find certain pattern or trend to get better business.

Here are some widely used open source tools to help to offers the best data analysis and provide a most accurate result for any organization.

• Apache Hadoop

Hadoop is without any doubt one of the most useful Big data analytic tools. It is surely most popular distributed data processing software. This Big Data tool is popular because of its ease of use and its ability to process a large amount of data. It also helps to replicate chunks of data to nodes and making it available on the local processing machine.

• Lumify

Lumify is another popular project to create a Big Data fusion. It is alternative to Hadoop. It has the wonderful ability to rapidly sort through numerous quantities of data in various sizes, sources, and format. This Big Data helps to explore relationships between the data via 2D and 3D graph visualizations; It has wonderful feature full-text faceted search, dynamic histograms and collaborative workspaces shared in real-time.

• Apache Storm

Apache Storm is another software used for this purpose. It is an open source distributed computation system. It allows unbounded processing streams of data, especially for real-time processing. It is very simple to use and can be configured with any programming language that user can understand. Storm is an ideal tool for great for using in cases such as data analytics, continuous computation, online machine learning, etc. It is scalable and fast, making it perfect for an organization that wants quick and efficient results.

• HPCC Systems Big Data

HPCC is an another useful platform for manipulating, transforming, and data warehousing. It is a great alternative to Hadoop; It delivers superior performance and wonderful scalability. This tool widely used in production environments for Hadoop, and offers many built-in distributed file system, scalability thousands of nodes, powerful fault resilient, etc.

• Apache Samoa

Samoa is one more effective and highly Scalable Advanced Massive Online Analysis platform for mining Big Data streams. It contains a programming abstraction for streaming ML algorithms. It helps to eliminate the complexity of underlying distributed for processing engines to develop ML algorithms.

• MongoDB

MongoDB is another useful tool to help store and analyze big data. It is a most useful tool to make e applications. It was designed to support humongous databases. The name MongoDB, actually derived from the word humongous. It is noSQL database which is written in C++ with document-oriented storage, full index support, replication and high availability.

Thus, we can say that Big Data mining and analysis are going to continue to grow in the future. Moreover, with the help of this above-given tool, it is surely possible to get the best data analytics for offshore web development and helps them to get the best analyses and storing all important information for their organization.

References

• https://www.import.io/post/all-the-best-big-data-tools-and-how-to-use-them/
• http://www.infoworld.com/article/2616959/big-data/7-top-tools-for-taming-big-data.html
• https://www.eduonix.com/blog/bigdata-and-hadoop/10-popular-open-source-big-data-tools/