From the course: Distributed Databases with Apache Ignite
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Summary and next steps - Ignite Tutorial
From the course: Distributed Databases with Apache Ignite
Summary and next steps
- [Instructor] This brings us to the very end of this course on distributed databases with Apache Ignite. Now, we started this course off by understanding the Apache Ignite distributed data architecture and model. We worked with Ignite as an in-memory database, and we configured native persistence for Ignite. We also saw how we could work with multi-node clusters. We partitioned our data to be split across the nodes of the cluster. We also worked with the replicated mode and configured backups for our partitions. We saw how we could use Ignite to store our data using SQL tables, and we saw how we could load and run queries on SQL tables. We also worked with our data using the cache API. We used the PyIgnite Python Library to access the cache and add and retrieve data from the cache. This brings us to the end of this course, but if you're interested in studying further, here are some other courses you might be interested in on…
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