Building New Hybrid Transactional/Operational Processing (HTAP) Applications With Apache® Ignite™

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 like Amazon, Expedia/HomeAway or SaaS innovators like Workday 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

Watch Part 1: Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache Ignite.

Presented by
Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member
Biography

Denis Magda is an open-source enthusiast who started his journey in Sun Microsystems as a developer advocate and presently settled down at Apache Software Foundation in the roles of Apache Ignite committer and PMC member. He is an expert in distributed systems and platforms who actively contributes to Apache Ignite and helps companies and individuals deploy it for mission-critical applications. You can be sure to come across Denis at conferences, workshops and other events sharing his knowledge about the open-source, community building, distributed systems.

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