Questions IT and Development

What are some big data analytics tools and techniques?

Airtract

Bimla Dasgupta

Head in the clouds

Data is the main aspect of any device. It the fuel that is driving all the changes in this cyber world, and thus, it is very crucial for individuals as well as big companies/businesses. Proper analysis of data is very crucial for tracking the progress of a company/business over time, and then make the necessary adjustments for boosting up the sales. 

In this article, we’ll highlight some of the widely used big data analytics tools and techniques.

Big-Data Analytics Techniques   

  1. Optimization
    Essential for solving quantitative problems.
  2. Machine Learning
    Uses machine level language codes for incorporating different intelligent behaviors into machines for finding faster and more innovative ways of finding solutions to a problem.
  3. Statistics
    Essential for the proper organization, comparison, and analysis of a large group of data.
  4. Visualization Techniques
    Visual representation of the collected data for easy analysis.
  5. Data Mining
    Involves the extraction of valuable information for a group of data through proper analysis.


Big-Data Analytics Tools


1.Microsoft HDInsight
Microsoft Azure HDInsight is one of the most highly rated big data analytics tools, offering Spark and Hadoop functionalities in the cloud. 

Salient Features

  • Robust and reliable analytic features, along with leading SLA.

  • An advanced security protocol for data safety.

  • Efficient and highly productive platform.

Official Site: www.Microsoft Azure HDsight.com


2.Skytree
Another highly productive platform incorporated with high-level machine learning capabilities.

Salient Features

  • Faster and Efficient Scalable Algorithms.

  • Highly precise data models for interpretability.

  • Easily customizable platform with GUI access.

Official Site: http://www.skytree.net/ 


3.Talend
A highly innovative tool for faster and accurate big data integration, master data management, etc.

Salient Features

  • Simplified ELT and ETL for big data management.

  • Efficient streaming of different DevOPS processes.

  • Use of Agile DevOps for managing big data projects.

Official Site: https://www.talend.com/download/ 

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