This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...

As I wrote in March of this year, the Databricks service is an excellent product for data scientists. It has a full assortment of ingestion, feature selection, model building, and evaluation functions ...

Hadoop and MapReduce, the parallel programming paradigm and API originally behind Hadoop, used to be synonymous. Nowadays when we talk about Hadoop, we mostly talk about an ecosystem of tools built ...

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and ...