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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. What is Big Data? What is Big Data?

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Fact-based Decision-making

Peter James Thomas

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

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One Big Cluster Stuck: Environment Health Scorecard

Cloudera

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. We’ve shared code, dashboards, and tools to help you on your health improvement journey. Think about that.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

The AWS Professional Services (ProServe) Insights team builds global operational data products that serve over 8,000 users within Amazon. In this post, we discuss how QuickSight has helped us improve our performance, democratize our data, and provide insights to our internal customers at scale.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. At its heart, predictive analytics answers the question, “What is most likely to happen based on my current data, and what can I do to change that outcome?”