Next Generation Analytics with In-Memory Computing and Converged Database
Session Abstract:
In-memory computing is about more than just speed; it enables a fundamental transformation in business processes. Just as air travel enabled more than just the ability to travel faster: It enabled a completely new global economy, reshaped politics, and transformed society. Oracle's Database In-Memory option similarly enables not just faster analytics, but also fundamentally reimagines and simplifies the traditional analytic platform. Combined with Oracle's many converged database capabilities that bring together many data models and many workloads, and with Oracle's Autonomous Database platform that makes self-driving machine-learning powered databases a reality, Oracle Database In-Memory allows for the development of a new category of enterprise architectures, with a significant reduction in cost and complexity, while providing unmatched performance for both transactional and analytic workloads.
Speaker Bio:
Tirthankar Lahiri
Senior Vice President, Data and In-Memory Technologies, Oracle
Tirthankar Lahiri is Senior Vice President of the Data and In-Memory Technologies group for Oracle Database and is responsible for the Oracle Database Engine (including Database In-Memory, Data and Indexes, Space Management, Transactions, and the Database File System), the Oracle TimesTen In-Memory Database, and Oracle NoSQL DB. Tirthankar has 25 years of experience in the Database industry and has worked extensively in a variety of areas including Manageability, Performance, Scalability, High Availability, Caching, Distributed Concurrency Control, In-Memory Data Management, NoSQL architectures, etc. He has 44 issued and several pending patents in these areas. Tirthankar has a B.Tech in Computer Science from the Indian Institute of Technology (Kharagpur) and an MS in Electrical Engineering from Stanford University.