I’m excited to announce this year’s Pre-Scylla Summit training day will offer two levels of training, Novice and Advanced. These hands-on training sessions will be conducted by our best and brightest staff, including our lead engineers and architects — even our co-founders will be on-hand to answer any questions from users.
Both tracks are filling up so please don’t delay.
Our training day is November 5. It’s your best opportunity to master Scylla while networking with your peers. When registering be sure to choose “Scylla Summit + 1 Day Training.”
A Full Brainy Day’s Schedule
Novice Training Track
Newbies will have the chance to grok Scylla fundamentals. Get the basics of Scylla usage under your belt. Learn installation prerequisites and procedures. Review CAP theorem and data modelling yet again, but then get serious on how Scylla addresses these specifically. Understand repair processes, backup and restore data, handle scale-out and scale-up scenarios, how to add analytics workloads on top of Scylla and dive into operations and monitoring with Scylla Manager.
We will complete the day with a guided installation and initial data manipulation exercise to practice the information we have covered during the day. By the end of the day attendees will be able to install, maintain, recommend initial data model settings and troubleshoot deployment issues.
Prerequisite for attending the novice training: None. We recommend having some experience with Linux systems and any type of relational or non-relational database.
Advanced Training Track
The Advanced Training track is for those who have already taken our Standard or Novice training courses. We’ll cover advanced data modeling to make sure data models do not impede your Scylla cluster performance, compaction strategies, Secondary Indexes and materialized views, how to get the best performance out of Scylla when using counter tables, advanced migration scenarios, plus integration with third-party tools such as Spark and Elasticsearch. The team will cover advanced deployment scenarios using Docker containers and Kubernetes orchestration schemes, and much more. Have a look at the full agenda here.
By the end of the day attendees will be able to recommend full data model schemas and troubleshoot performance issues, use advanced deployment environments and enable migration processes from other solutions.
Prerequisite for attending the advanced track: Good familiarity with either Scylla or Cassandra. Recommended to have experience with data modeling for relational and non-relational databases.
We look forward to seeing you there!