Oracle Database In-Memory: Unleash Real-Time Analytics With In-Memory Columnar Technology

    This 4-part series will provide comprehensive coverage of Oracle Database In-Memory. While the first session will provide a strong introduction to the Oracle Database In-Memory technology including the latest capabilities, the subsequent sessions will dive deeper into the best practices for getting the best out of Database In-Memory, including strategies to identify the right workloads for Database In-Memory.

    Who Should Watch

    This session is suited for DBAs, Application Architects, IT Managers & Business Analysts who are responsible for delivering, or rely on, high performance analytics in their organizations. Both individuals new to Oracle Database In-Memory as well as those who are already familiar with the technology will find the session useful.

    Session 1: Oracle Database In-Memory: Technology Overview & Real-World Experience

    This session provides an overview of the dual-format technology underlying Database In-Memory and the features that enable analytic processing speeds of billions of rows per second. You will learn about the innovations in Oracle Database 12c Release 2, as well as new features introduced in Oracle Database 18c such as Automatic In-Memory, In-Memory Optimized Arithmetic, and many more performance enhancements. 

    You will also learn how an Oracle Database In-Memory customer leveraged the technology to move their datawarehouse to the Oracle Cloud, and how they managed to lead the company in enabling timely business and strategic decisions. You will learn how this customer unleashed the power of In-Memory and the results they saw. 


    Session 2: Oracle Database In-Memory: Getting Started and Best Practices

    Join Oracle Product Management to learn how to get started with Database In-Memory, how to identify which objects to populate in memory, how to identify which indexes to drop, and details on how to integrate with other performance enhancing features of Oracle Database. This session will also describe how Database In-Memory works to speed up your analytic workload and will provide a step-by-step guide on how to configure Oracle Database to get the biggest performance benefits.


      Session 3:  How To Identify The Right Workload For Database In-Memory
      Oracle Database In-Memory promises an incredible performance boost for analytic queries. But how do you determine if you have an analytic workload that will benefit from Database In-Memory? This presentation will review what Database In-Memory is and how it works, and then we will talk about what types of workload will benefit from Database In-Memory. We will also examine what aspects of a SQL query benefit from Database In-Memory and then compare some actual SQL statement executions to demonstrate where Database In-Memory provides benefit and how Database In-Memory provides that benefit.


      Our Featured Speakers

      Andy Rivenes, Product Manager at Oracle for Database In-Memory

      Biography: Andy Rivenes is a Product Manager at Oracle for Database In-Memory. Prior to that Andy was a Product Manager for Heat Map, Automatic Data Optimization, SecureFiles and DBFS. Andy has spent a large part of his career managing Oracle databases and he now spends his time helping customers implement Database In-Memory as well as providing information about Database In-Memory through blogs, conferences, and customer visits. You can visit the Database In-Memory blog at or follow his tweets as @TheInMemoryGuy.

      Tirthankar Lahiri, Vice President, Data and In-Memory Technologies, Oracle Corporation

      Tirthankar Lahiri is Vice President of the Data and In-Memory Technologies group for Oracle Database (this group is responsible for Database In-Memory, Data Formats, Space Management, Transactions, as well as the Oracle TimesTen In-Memory Database.) Tirthankar has 20 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, etc. He has 21 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.


      Raj Rathee, Sr. Director, Product Management, Oracle Corporation

      Raj Rathee is a Sr. Director of Product Management at Oracle and leads the Oracle Database In-Memory team. Raj’s career has been focused on data and data management after graduating with a Masters degree in Computer Science from University of Waterloo, Canada. Raj’s experience spans software engineering, product management as well as business development and go-to-market roles.  



      Kiran Tailor, Senior Enterrpise Data Architect, The Association of International Certified Professional Accountants

      Kiran is an Oracle Ace Director and is the Senior Enterprise Data Architect at The Association of International Certified Professional Accountants . In this role he has provided technical leadership in the areas of data modelling, information management, data warehousing, reporting and analytics. He sets tactical and strategic direction in the areas of business intelligence, data mining and visualization, and data quality and standardization across all platforms, products and global assets. He is a reguler speaker at conferences such as Oracle OpenWorld, UKOUG Apps/Tech, OUG Ireland, POUG, DOAG.



      Session 1: Oracle Database In-Memory: Technology Overview & Real-World Experience

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