Apache Hive, Predicate Pushdown, and the Challenge of Small Files at Petabyte Scale
By October 2015, Apache Hive had firmly established itself as the SQL engine of choice in the Hadoop ecosystem — powering data warehouse-style workloads at s...
By October 2015, Apache Hive had firmly established itself as the SQL engine of choice in the Hadoop ecosystem — powering data warehouse-style workloads at s...
By October 2015, Apache Hive had matured from a batch-oriented MapReduce abstraction to a fully capable, distributed SQL engine for big data warehousing.
By October 2015, Apache Spark had officially moved from being a promising successor to MapReduce into the mainstream engine of choice for many big data workl...
By September 2015, Hadoop was no longer a fringe technology. It had become the de facto platform for big data infrastructure — and at the heart of this evolu...
In 2015, a quiet but massive transformation is underway — the rise of data engineering as a first-class discipline.