10 Best Big Data Analytics Tools for 2019 – With Uses & Limitations

10 Best Big Data Analytics Tools for 2019 – With Uses & Limitations

Santosh Bakliwal Santosh Bakliwal

Santosh Bakliwal

Assistant Vice President at DataFlair

发布日期: 2019年5月30日
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1. Best Big Data Analytics Tools

In this blog on Best Big Data Analytics tools, we will learn about Best Data Analytic Tools. Also, will study these Data Analysis Tools: Tableau Public, OpenRefine, KNIME, RapidMiner, Google Fusion Tables, NodeXL, Wolfram Alpha, Google Search Operators, Solver, Dataiku DSS with their uses, limitations, and description.

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2. List of Big Data Analytics Tools

Data Analytics is the process of analysing datasets to draw results, on the basis of information they get. It is popular in commercial industries, scientists and researchers to make a more informed business decision and to verify theories, models and hypothesis.

These are the 10 Best Big Data Analytic Tools with their uses and limitations, which can help you to analyse the data. Let’s discuss them one by one:

  • Tableau Public
  • OpenRefine
  • KNIME
  • RapidMiner
  • Google Fusion Tables
  • NodeXL
  • Wolfram Alpha
  • Google Search Operators
  • Solver
  • Dataiku DSS

a. Tableau Public

i. What is Tableau Public – Big Data Analytics Tools

It is a simple and intuitive tool. As it offers intriguing insights through data visualization. Tableau Public’s million-row limit. As it’s easy to use fares better than most of the other players in the data analytics market.

With Tableau’s visuals, you can investigate a hypothesis. Also, explore the data, and cross-check your insights.

ii. Uses of Tableau Public

  • You can publish interactive data visualizations to the web for free.
  • No programming skills required.

Visualizations published to Tableau Public can be embedded into blogs. Also, web pages and be shared through email or social media. The shared content can be made available s for downloads. This makes it the best Big Data Analytics tools.

iii. Limitations of Tableau Public

  • All data is public and offers very little scope for restricted access
  • Data size limitation
  • Cannot be connected to R.
  • The only way to read is via OData sources, is Excel or txt.

Follow this link to know more about Tableau

b. OpenRefine

i. What is OpenRefine – Data Analytic Tools

Formerly known as GoogleRefine, the data cleaning software. As it helps you clean up data for analysis. It operates on a row of data. Also, have cells under columns, quite similar to relational database tables.

ii. Uses of OpenRefine

  • Cleaning messy data
  • Transformation of data
  • Parsing data from websites

Adding data to the dataset by fetching it from web services. For instance, OpenRefine could be used for geocoding addresses to geographic coordinates.

iii. Limitations of OpenRefine

  • Open Refine is unsuitable for large datasets.
  • Refine does not work very well with big data

Read More BIG DATA ANALYTICS TOOLS


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