Start of a New era: Apache YARN 3.1 and Apache HBase 2.0

Start of a New era: Apache YARN 3.1 and Apache HBase 2.0

5:00 PM - 5:45 PM

The adoption of Machine Learning (ML) and Deep Learning (DL) is a necessary step in an organization’s digital transformation journey. The insights gained from these applications enable businesses to improve their internal and external processes to maintain a competitive advantage. To address ML and DL apps, organizations are procuring expensive hardware resources to handle the extensive processing power required by these workloads.

As organizations make these investments, it is becoming important that they consider the needs of business stakeholders in addition to the purely infrastructure-focused stakeholders. Hortonworks released HDP 3.0 as our major HDP version change in July of this year. Our HDP 3.0 includes the major version change of Apache Hadoop, Apache Hive, Apache HBase and so on, and we added extensively a lot of features to HDP 3.0. In this session, we are going to talk all about what's new in Apache YARN 3.1 and Apache HBase 2.0.


Zhen Zeng
Solutions Engineer
Hortonworks, Inc.
Solution Engineer in Hortonworks, with 10+ years of experience in large-scale enterprise systems in multiple domains and technologies.
Toshihiro Suzuki
Sr. Software Engineer, Breakfix
Cloudera Inc.
Toshihiro Suzuki is an HBase committer and at Cloudera as a member of the Support team. As a Sr.Software Engineer (Breakfix), he is responsible for troubleshooting complex support cases and fixing bugs in our products (such as HBase/Phoenix). Prior to joining Cloudera, he was an administrator in charge of operating Hadoop/HBase at Cyberagent, Inc. for five years. He authored a book based on HBase for beginners in Japanese.