In-Memory Database Architectures at Oracle

In-Memory Database Architectures at Oracle

In-memory databases enable orders of magnitude faster data processing than traditional disk-based designs. With the explosive growth of memory capacities, in-memory database technology has now become mainstream and an essential component of modern real-time enterprise architectures. In this session, I will describe Oracle's approach and vision for in-memory database architectures: Real-time in-memory transaction processing with the TimesTen In-Memory Database, real-time in-memory analytics with Oracle Database In-Memory, and real-time analytics on very large flash-resident data using In-Memory columnar algorithms within the Exadata flash cache.

Specialties: Large scale systems, high availability, performance, scalability, and self-managing systems.



Vice President, Data and In-Memory Technologies
Tirthankar Lahiri is 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 NoSQLDB. Tirthankar has 22 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 27 issued and has 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.

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