Transactions on Hadoop/HBase - Beer, Wine & Pizza

6:00 - 6:45 - register with security, mingle, drink & eat

6:45 - 7:00 - Haifeng Li - Transactional Big Data

7:00 - 8:00 - Rohit Jain - Apache Trafodion: Enterprise-Class Transactional SQL-on-Hadoop DBMS

8:00 ~ 8:45 - Networking

Hadoop has been very successful for analytics. But Doug Cutting, the Hadoop creator, predicted that, in the future, organizations will run all sorts of workloads on their Hadoop clusters, even online transaction processing (OLTP) workloads. Although Apache HBase and Apache Phoenix provide high throughput, low latency, random access on big data, developers struggle with the lack of ACID transactions. Trafodion is a world class Transactional SQL RDBMS running on HBase/Hadoop, currently in Apache incubation. In this talk we will discuss the characteristic of operational workloads, the operational use cases Trafodion addresses, and why Trafodion is the right solution for these use cases. In particular, we go in depth of what is the recipe for a world class database engine, and how Trafodion implements the ingredients that make up that recipe such as world class query optimizer, parallel data flow execution engine, distributed transaction management system, performance, scale, availability, and future directions, etc.

Speaker:
Rohit Jain is the CTO at Esgyn for Trafodion, a transactional SQL-on-HBase RDBMS. Rohit worked for Hewlett-Packard for 28 of his 39 years on applications and databases, as solutions architect, consultant, software engineer, architect, development and QA manager, Product Manager, and Chief Technologist, for Online Transaction Processing, Operational Data Stores, Data Marts, Enterprise Data Warehouses, Business Intelligence, and Advanced Analytics, on distributed massively parallel systems.