Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.

Why is big data analytics important?

Big data analytics helps organizations harness their data and use it to identify new opportunities. It helps in following ways:

source: https://www.sas.com/en_in/insights/analytics/big-data-analytics/_jcr_content/par/styledcontainer_2f7b/par/styledcontainer_c5d/par/styledcontainer_205/par/textimage_f442/image.img.png/1575519604991.png

Big data analytics in today’s world

Most organizations have big data. And many understand the need to harness that data and extract value from it. But how? These resources cover the latest thinking on the intersection of big data and analytics.

  1. Statistics and Machine Learning at Scale
  2. Bringing the power of SAS® to Hadoop
  3. Health care and big data analytics
  4. The hard work behind analytics

Here’s how it works and its key technologies..

Big Data Analytics – What it is and why it matters

#Data #BigData #Analytics #Statistics #Probyto #ProbytoAI

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