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IBM Strategy for Spark

Last month, Garrett Young of IBM presented at our Houston Hadoop & Spark Meetup. The topic was an

Processing unstructured text data with Spark 2 APIs – Dataset & Dataframe

This is part of our migrating/updating to Spark 2 series. See all our posts on Spark and Spark2.

MOOC or in-class training?

In his article, “How the pioneers of MOOC got it all wrong,” Robert Ubell quotes surprising statistics. To-day,

Lawyers and Machine Learning – How a Little Learning Goes a Long Way

  Machine Learning and Artificial Intelligence (AI) are certainly all the rage today. AI will touch everyone, it

From Spark MLLib 1.0 to Spark ML 2.1

This is part of our migrating/updating to Spark 2 series. See all our posts on Spark and Spark2.

Processing CSV files with Spark 2 – Part 1

Intro This is part of our migrating/updating to Spark 2 series. See all our posts on Spark and

On learning languages, machine translation, and neural networks

If you are into learning languages, take a look at the Glossika startup. I believe it offers the

From Scala to Python in Spark

Scala Vs. Python Spark’s native language is Scala, a fine language, but in many ways Spark seems more

Fighting ageism – really?

March 2017 issue of SD Times has a “Fighting ageism” picture on the cover. The main article is

Teaching Big Data in Bentonville

  Every time I go and work or teach at a company whose name nobody knows (this beginning can