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IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

Smart Data Collective

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Global Experts Weigh in On Renewable Energy Dependence on Big Data.

IBM cost 192
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5 Best Practices for Big Data Integration 

Astera

A staggering amount of data is created every single day – around 2.5 quintillion bytes, according to IBM. In fact, it is estimated that 90% of the data that exists today was generated in the past several years alone. The world of big data can unravel countless possibilities. What is Big Data Integration?

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5 Data Management Trends to Watch in 2023

Astera

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech.

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What Skills Are Needed for a Career in Data-Driven Cybersecurity?

Smart Data Collective

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. The Reason For So Much Demand.

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What Is Embedded Analytics?

Insight Software

Data visualizations are no longer driving revenue: Everyone from Google to Amazon now provides low-cost or no-cost visualization tools that drive down the perceived value of data visualizations. Users are coming to expect sophisticated analytics at little or no cost. cost reduction).