Learn some of the best practices companies have used for making Apache Ignite and Apache Kafka scale. Making stream processing scale requires making all the components—including messaging, processing, storage—scale together. During this 1-hour webinar by GridGain Systems Professional Services Consultant Alexey Kukushkin, you will learn how.
With real-time streaming analytics there is no room for staging or disk. Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, GridGain®, Kafka™, Spark™ and other technologies.
This 60-minute hands-on session will:
Explain how GridGain Cloud works
Walk through step-by-step how to create an account, start a cluster, load and query data using ANSI-99 SQL
Demonstrate how to build applications that accesses data using a REST API, ODBC/JDBC or a binary thin client
When deployed properly, it's hard to beat a horizontal distributed architecture's scalability, availability and reliability. The trick is deploying it properly to compensate for individual node, data or network failures. Learn some of the best practices for setting up your clusters properly to maximize availability, reliability and flexibility for future needs.
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…
Join us for part 1 of the in-memory computing best practices series. Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience. This webinar will explain with examples:
Learn why companies are choosing Apache Ignite and the enterprise-ready version of Apache Ignite from GridGain® to handle their in-memory computing needs, and moving away from traditional caches like Redis.