5 Big Data Analytics Tools to Learn in 2020

The influence of Big Data analytics is far and wide. As the amount of data increases and organizations catch on new data trends to make business decisions, demand for Big Data professionals will increase. If you aspire to make a career in Big Data, it is important to know tools that are in-demand and used widely.Why?

Organizations use Big Data tools to store and analyze huge amount of data. There are several tools for this purpose. However, a few soft wares are prominently used in the industry due to their comprehensive application, ease-of-use, support, and scalability.

5 Big Data Analytics tools for 2020

  1. Apache Hadoop
    This is a free software framework used for storage of large amount of data in the cloud with the help of cluster. Additionally, Hadoop can process large amounts of data across all nodes of a cluster seamlessly.World’s leading companies use Hadoop as part of their tech stack including Uber, Netflix, Airbnb and more.Hadoop offers two major benefits:

    – Fast data processing.
    – Delivers high level of performance as nodes can communicate to each other seamlessly during parallel data processing.

  2. Oracle Data Analytics
    Oracle has not been known for Big Data analytics but this tool defies that notion. With Oracle Data Analytics, Oracle offers automation capabilities for different data analytics and Big Data analysis enabled with its strong infrastructure to bring different data sources together.Oracle Data Analytics offers:
    – Strong automation capabilities for data analytics
    – Self-service data analytics
  3. Cloudera
    Cloudera is known for its enterprise-grade solution. No wonder this tool offers enterprise-grade solution for collecting, processing, modelling, and distribution of nearly unlimited data. Cloudera is built on Apache Hadoop and also inherits capabilities of Spark and Impala to offer extensive data management features.
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Cloudera is known for:

-Vast and comprehensive data distribution
– Security and governance, and ease of implementation

4. Tableau Public

Tableau is a leading data visualization tool in the Industry. Tableau Public takes its data visualization capabilities uses it for Big Data analysis. The tool limits rows to million, making itself easy to use.

Tableau Public has two major benefits:
– Data visualizations can be published for free on the web
– It’s easy to use as no prior programming knowledge is required.

5.Microsoft HDInsight

This is an enterprise-grade application which helps companies to manage their Big Data workload.  It is powered by Azure—Microsoft’s cloud service.

Microsoft HD Insightoffers following benefits —

– The analytics component comes with a high level of service level agreement
-It offers enterprise-grade security and monitoring
– Data protection for on-premises while governance controls are on cloud.
– Both Data Scientists and developers can work comfortably.

Learning these tools will increase your job opportunities and accelerate the pace to get a job if you’re yet to start one. Many working Big Data Analysts choose to learn these tools to improve their resume and find better opportunities for themselves. Not to mention, learning these tools will broaden your knowledge base, extend your capabilities, and make you an asset for your company.

The more tools you know the better opportunities you can have. A progressive Big Data career isn’t limited to know-how of tools. It also requires proficiency in programming languages—Java, Python, R —and statistics. Getting on top of these areas is important to excel in Big Data analytics. While you learn the ins-and-outs of above tools, make sure you polish other skills too.

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