If you listen in on what people are talking about at Big Data conferences, chances are you’ll hear a lot of buzz around Hadoop and Spark. People often think of Hadoop and […]
Hadoop And Spark: A Match Made In (Big Data) Heaven
Apache Flink 1.0 takes on Spark in Hadoop processing
Hadoop needs fast and easy-to-use stream processing, and Flink provides that — but it’ll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, released its […]
Q&A: Dinsmore sees open source Apache Spark moving to new stage
Analytics vet Thomas Dinsmore says Apache Spark is entering a new phase of adoption, one in which hype gives way to clearer assessment. He also discusses the ascent of the R programming […]
How different SQL-on-Hadoop engines satisfy BI workloads
A new benchmark of SQL-on-Hadoop engines Impala, Spark and Hive finds they each have their own strengths and weaknesses when it comes to Business Intelligence (BI) workloads. According to a new benchmark, […]
What’s next for Apache Spark? Databricks drops a few hints
Databricks Inc., the leading commercial entity behind the Apache Spark, the open source cluster computing framework for Big Data processing, last week dropped a few hints about some of the new features […]
Introduction to Apache Spark with Examples and Use Cases
I first heard of Spark in late 2013 when I became interested in Scala, the language in which Spark is written. Some time later, I did a fun data science project trying […]
Spark Streaming update to address growing torrent of big data
Amid the buzz at Spark Summit East 2016 in New York was word that the Spark data processing engine’s stream processing architecture will be overhauled in the upcoming version 2.0 of the […]
