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.
Microsoft Azure HDInsight is one of the most highly rated big data analytics tools, offering Spark and Hadoop functionalities in the cloud.
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
Another highly productive platform incorporated with high-level machine learning capabilities.
Faster and Efficient Scalable Algorithms.
Highly precise data models for interpretability.
Easily customizable platform with GUI access.
Official Site: http://www.skytree.net/
A highly innovative tool for faster and accurate big data integration, master data management, etc.
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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