The use of Big Data by companies is increasingly significant. All seek greater amounts of information that allow them to reach the right customer. Therefore, dozens of tools have emerged to handle Big Data, but which one to choose? Big Data training in Bangalore help you with a selection of Big Data tools that you should know.

Essential Big Data Tools

The Big Data has become something essential for businesses today. The data analysis is vital for companies because it provides valuable information for creating strategies focused on attracting new customers, and also to increase sales. But a quantity of data as vast as that obtained in these processes is very difficult to analyze if we do not use the appropriate means. So, next, we show you 10 of the best tools to handle Big Data:

Apache Hadoop

It is the most used Big Data tool, in fact, companies like Facebook or The New York Times use it, and it has served as a model for the rest. Hadoop is a framework that allows you to process large volumes of data in batch using simple programming models. It is scalable, so it can go from operating on a single server to doing it on multiple.

Elasticsearch

Elasticsearch allows the processing of large amounts of data and see their evolution in real time. In addition, it provides graphics that help you more easily understand the information obtained. The elastic tool many advantages and one of that it can be expanded with Elastic Stack, a package of products that increase the performance of Elasticsearch. Mozilla and Etsy are some of the companies that have used this Big Data tool.

Apache Storm

Storm is an open-source Big Data tool that can be used with any programming language. Processes large amounts of data in real time and easily, the system creates topologies of the big data to transform and analyze them continuously while information flows enter the system constantly.

MongoDB

It is a NoSQL database optimized to work with groups of data that vary frequently, or that are semi-structured or unstructured. It is used to store data from mobile applications and content management systems, among others. It is used by companies such as Bosch and Telefónica.

Apache Spark

The most remarkable feature of this Big Data tool is its speed, being 100 times faster than Hadoop. Spark analyzes data in batches and also in real time, and allows the creation of applications in different languages: Java, Python, R and Scala.

Python

Python has the advantage that you only have to have a minimum knowledge of computer science to use it, it makes you have a large user community with the option of creating your own libraries. The disadvantage of this Big Data tool is speed, since it is noticeably slower than its competitors.

Apache Cassandra

Cassandra is a NoSQL database developed initially by Facebook. It is the best option if what you need is scalability and high availability without compromising performance. Netflix and Reddit are users of this tool.

R language

R is an environment and programming language focused mainly on statistical analysis, since it is very similar to mathematical language; although it is also used for Big Data analysis. It has an extensive community of users, so a large number of libraries are available. R is widely used by statesmen and data miners.

Apache Drill

Drill is an open-source framework that allows working on interactive analyzes of large-scale data groups. It was designed to achieve high scalability in servers and to process petabytes of data and millions of records in a few seconds. It supports a wide variety of file systems and databases.

Apache Oozie

This Big Data tool is a workflow system that allows you to define a wide range of written or programmed jobs in different languages. In addition, Oozie links the work and allows users to establish dependency relationships between them.

These are the 10 best Big Data tools that we propose, would you recommend others? or if you’re interested in knowing more about Big Data, why don’t you take a look at any of the programs we offer from Big Data training in Bangalore where you will learn to use Big Data to meet your client and improve your marketing strategy.