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Deep dive into using Redis from Node.js applications: managing connections, storing and retrieving data, and working with sorted sets and streams.
Learn Redis data structures, command time complexity, data modeling, pub/sub, geospatial indexes, bit fields, and introductory Lua scripting.
Use the RediSearch module to give Redis SQL-like querying: secondary indexes, boolean and geo filters, full-text search, aggregations, and queries distributed across clustered deployments.
Learn how to scale Redis beyond performance tuning, covering durability, availability, throughput, capacity, and observability for stable, secure deployments.
Build Redis applications in Java using the Jedis API directly, with no frameworks in between — connection management, error handling, and idiomatic JDK patterns.
Build a complete Python Flask application on Redis, learning to connect, model a domain, and apply common Redis data patterns.
A deep dive into RediSearch's query language, schema design, document ingestion, and aggregation pipeline for building search on Redis.
A deep dive into Redis 5.0's Streams data structure — its commands, internal workings, and production patterns for real-world streaming use.
Hardening Redis in production: access control, data encryption, and secure deployment practices, in three short weeks.
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