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Natural language processing explained bit.ly/2VTRmUR
4 reasons big data projects fail—and 4 ways to succeed bit.ly/2LJ3gkl
Delta Lake gives Apache Spark data sets new powers bit.ly/2W5ixwA
Pub/sub messaging: Apache Kafka vs. Apache Pulsar bit.ly/2UtAFPm
The best machine learning and deep learning libraries bit.ly/2ZsLJzW
IBM preps Watson AI services to run on Kubernetes bit.ly/2UrKrkU
How to use Azure Data Explorer for large-scale data analysis bit.ly/2ZpY0oy
Tutorial: Spark application architecture and clusters bit.ly/2UzPbF2
Why you should use Gandiva for Apache Arrow bit.ly/2ZsLFQI
Review: MXNet deep learning shines with Gluon bit.ly/2UtACTG
IDG Contributor Network: The future is cloudy, with a chance of success bit.ly/2ZsLZPq
Real-time data processing with data streaming: new tools for a new era bit.ly/2UtAB24
Bossies 2018: The Best of Open Source Software Awards bit.ly/2ZsLEfC
The best open source software for data storage and analytics bit.ly/2UtAzHu
What is a data lake? Flexible big data management explained bit.ly/2Zra7lr
Matei Zaharia, creator of the Apache Spark project, on the big data framework | True Technologist Ep 2 bit.ly/2UyTvV8
Why there are no shortcuts to machine learning bit.ly/2ZnuNuF
IDG Contributor Network: Why we lose out if we leave everything to algorithms bit.ly/2Uyx0Qi
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