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10 Key Big Data Trends That Drove 2017 (via Datanami)

hadoop, big data trends, big data, analytics, data modeling, data science, machine learning, ai, deep learing

2017 has come and (almost) gone. It was a memorable year, to be sure, with plenty of drama and unexpected happenings in terms of the technology, the players, and the application of big data and data science. As we gear up for 2018, we think it’s worth taking some time to ponder about what happened in 2017 and put…

Source: Datanami

10 Big Data Trends

  1. The re-emergence of AI, deep learning and machine learning
  2. Hadoop becomes less popular
  3. Graph databases grow in use
  4. Apache Spark is keeping up with the competition
  5. The Cloud is super popular for storing Big Data
  6. Big Data fabric bypasses integration problems
  7. Big Data swamps are becoming a problem with too much data saved
  8. Big Data company IPOs are becoming popular
  9. Data Science platforms and vendor choices are growing
  10. Look out for GDPR (General Data Protection Regulation) that goes into effect on May 25, 2018
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