The boundary between transactional and analytical workloads is blurring: transactional workloads are becoming more analytical, and vice versa. But how can a database unify both types of workloads while eliminating the latency, complexity, and operational support of separate systems?
With hybrid transactional/analytical processing (HTAP), businesses don’t have to perform transactions in one database, and analytics in another—they can now do both, in a single database. By combining row store and column store, HTAP draws on the advantages of both to accomplish more than simply connecting the two formats.
In this webinar, PingCAP Senior Solutions Engineer Daniel James explores the practical applications of HTAP in action with TiDB, an open-source, distributed SQL database. You’ll discover:
- What defines HTAP and how it simplifies data infrastructure
- Real-world use cases including fraud detection, complex event processing, and data serving
- How TiDB delivers real-time data processing and integration
- The business benefits large-scale companies have gained
Speaker:
Daniel James
Senior Solutions Engineer at PingCAP
Daniel spent over thirty years as a DBA and software engineer. He has also worked on every major RDBMS platform including Oracle, SQL Server, Informix, DB2, MySQL, and Sybase. Daniel spent several years as a solutions engineer at Couchbase and Snowflake, and prior to that he worked at large enterprise companies such as AT&T and Microsoft.