What's New in Apache Hive 3.1?

Apache Hive is a constantly evolving project which continues to enjoy great adoption in the big data ecosystem. As Hive continues to grow its support for analytics, reporting, and interactive query, the community is hard at work in improving it along with many different dimensions and use cases.

This talk will present and demo the latest & greatest features and deep performance optimizations including:

• Kafka and Spark integrations
• Query federation to Druid and RDBMSs
• Transactional system advancements (ACID v2)
• Materialized view query rewrites
• Query federation to Druid and RDBMSs
• Workload management & Query guardrails
• Query result cache
  and more!

Meetup Sponsor: Hortonworks/Cloudera

5:15pm - 6:00pm - Networking, Food and Beverages

6:00pm - 7:00pm - Data Science Career Panel Discussion

7:00pm - 7:30pm - Networking

Bio

Bill Preachuk is employed by Hortonworks as a Hadoop Solutions Engineer in the Twin Cities.

He has almost 3 decades (yikes!) of experience doing all forms of data-related work -Database Administration, EDW, Performance Tuning, System Architecture.

Bill specializes in Ingestion, Data Design, and BI Analytics for the broader Hadoop ecosystem: Hive, Druid, Sqoop, NiFi, Data Movement, EDW Augmentation, and Data Archival. He also runs the Data Transformation & Analytics Subject Matter Expert (SME) program for Hortonworks.