Big Data

How Big Data Analytics Can Empower Human Resource Management

Posted on September 5, 2021 by Gurjot Brar | Comments(6)

From small to big organizations have embraced cloud computing and its different functions. The reason for the appliance has been the new software’s ability to boost performance, maintain high-quality and effective talent management, and do all this cost-effectively. This Blog post explores “How Big Data Analytics can empower Human Resource Management?” Most importantly, it highlights how organizations can utilize Microsoft Power BI tools to efficiently handle human resource management activities.

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Cloud Computing with Non-Tech Background: A Guide for Beginners

Posted on July 25, 2021 by CloudThat | Comments(1)

With the increasing demand and popularity of Cloud Computing, we wouldn’t be surprised by you feeling the urge to jump ships and start your cloud journey. With a CAGR of impressive 30% and the industry all set to cross the 65,000 crore mark by 2025, it is safe to say your efforts into learning Cloud Computing even with non-tech background would not go down the drain.

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Disaster Recovery (DR) using AWS Database Migration Services

Posted on March 22, 2019 by Pritam Agrawal | Comments(4)

Disaster Recovery (DR) is the process an organization uses to recover access to their software, data, and/or hardware that are needed to resume the performance of normal, critical business functions after the event of either a natural disaster or a disaster caused by humans. In the event of a disaster, the continued operations of your company depend on the ability to replicate your IT systems and data.

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Data Analytics Ecosystem – AWS & Azure (Part 1)

Posted on April 11, 2017 by CloudThat | Comments(4)

In the past decade, technologies around data analytics and business intelligence have seen a tremendous growth in number and reach. The emergence of Cloud has undoubtedly been a catalyst to this growth. Amazon Web Services and Microsoft Azure have both been working towards offering services for Collecting, Uploading, Storing and processing for Data.

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