Once you've put in-memory computing in place to add speed and scale to your existing applications, the next step is to innovate and improve the customer experience. Join us for part 2 of the in-memory computing best practices series. Learn how companies build new HTAP applications with in-memory computing that leverage analytics within transactions to improve business outcomes. This is how many retail innovators or SaaS innovators have succeeded. This webinar will explain with examples on how to:
- Merge operational data and analytics together, so that analytics can work against the most recent data
- Improve processing and analytics scalability with massively parallel processing (MPP)
- Increase transaction throughput using a combination of distributed SQL, ACID transaction support and native persistence
- Synchronize data and transactions with existing systems