In 2017, huge subject areas ruled in the world of huge info and analytics.
Regardless of whether the subject at hand was anything reasonably new, these types of as incorporating machine finding out into performing with info or monetization, or longstanding considerations, these types of as deciding upon the best attainable info model or identifying how to make the most of info science expertise, audience of the IBM Major Data & Analytics Hub ended up hungry for information this yr. They voraciously browse posts about individuals subject areas, as well as about performing with open up supply frameworks these types of as Hadoop and Spark. They ended up also quite fascinated in how NASA works by using huge info in its operations.
10. How to build an all-goal huge info motor with Hadoop and Spark
9. Major info at NASA
8. Incorporating machine finding out in the info lake for sturdy small business results
7. 5 key attributes of efficient info monetization strategy
6. 9 gurus solution your prime info science & machine finding out issues
5. Cyber stability driven by AI and machine finding out
4. Charting the info lake: Rethinking info types for info lakes
3. How does machine finding out perform?
2. Finding out machine finding out? Six report you don’t want to pass up
1. The quant crunch: The desire for info science expertise
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