by Andrea Bacqué | Sep 25, 2020 | Apache Spark, Apache Spark Cafe, Customer Experience, Java, Python, R, SAS, Scala, Solutions
I have the privilege of exchanging with Chief Data Officers around the world. I’m noting a consistent trend emerge with their data science modernization efforts. Getting rid of legacy is a bigger challenge than most anticipated. CDO’s all know...
by Ian J. Ghent | Sep 11, 2020 | Apache Spark, Apache Spark Cafe, Python, SAS
At WiseWithData, we believe we can be and help support agents of positive change in our communities and around the world. We see Open Source Software (OSS) as a truly shining example of the power of global communities coming together to solve common challenges. Thanks...
by Andrea Bacqué | Aug 20, 2020 | Apache Spark, Customer Experience, Python, SAS, Solutions
The concept of dark data – i.e. information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes such as analytics, business relationships and direct monetizing – isn’t new...
by Andrea Bacqué | Jun 19, 2020 | Apache Spark, Apache Spark Cafe, Customer Experience, Python, SAS, Solutions
The Wise With Data Team have been eagerly anticipating Spark 3.0’s release and it is official as of today. As experts in open source data science, we’d like to share what to expect with Spark 3.0. Also a reminder that Spark Summit 2020 is next week… What are we...
by Andrea Bacqué | May 28, 2020 | Apache Spark, Python, SAS, Solutions
As Enterprises look to rationalize investments and re-architect technology stacks, their data needs to be open and accessible – not locked into closed formats or proprietary systems. In the world of data science, Apache Spark stands out as the clear leader with...
by Mike Sun | May 20, 2020 | Apache Spark, Apache Spark Cafe, Java, Python, R, Scala
RDD, DataFrame, and Dataset are the three most common data structures in Spark, and they make processing very large data easy and convenient. Because of the lazy evaluation algorithm of Spark, these data structures are not executed right way during creations,...
