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Top 10 Big Data Trends for 2017.
By Tableau
Thursday, 20th April 2017
 

2016 was a landmark year for big data with more organizations storing, processing, and extracting value from data of all forms and sizes, in 2017, systems that support large volumes of both structured and unstructured data will continue to rise.

The market will demand platforms that help data custodians govern and secure big data while empowering end users to analyze that data. These systems will mature to operate well inside of enterprise IT systems and standards.

Learn more about where things are headed. This paper highlights the top big data trends for 2017 including:

  • Big data becomes fast and approachable: Options expand to speed up Hadoop
  • Organizations leverage data lakes from the get-go to drive value
  • Spark and machine learning light up big data

GET THE WHITEPAPER

About Tableau
Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. Share your work with anyone and make an impact on your business. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data.

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