English | Size: 3.52 GB
Genre: eLearning
Redis Beginners to Advance With Free Lab
What you’ll learn
Deep dive into Redis Database
Installing Redis on online/offline mode
Redis Performance Benchmarking
Redis persistence configuration – Backup and Restore using RDB and AOF
Writing Python Program to Interact with Redis
Writing Different Datasets to Redis – Redis Datatypes
Understanding TTL (Time to Live) or Key Expiry in Redis
Creating and using counters
Deep Dive in String, Lists and Hashes type operation
Creating a subset from a bigger set Redis
Setting up Redis Replication (Master + Slave) – Development or Demo Scenario
Redis Replication Production Setup
Redis High Availability in Production with Sentinels on Three Servers (Automatic Failover)
Redis Clustering, Pros and Cons
Embark on a journey that begins with foundational knowledge and ascends to advanced Redis concepts, catering to learners across all levels – whether novice or seasoned professionals.
To enrich your learning experience, we’re excited to provide an extensive 5-hour complimentary lab access, facilitating a smooth and immersive Redis exploration.
This course is designed to immerse you in hands-on, real-world scenarios, empowering you to master the complexities of establishing high availability environments seamlessly.
Redis, an open-source (BSD licensed) in-memory data structure store, serves as a dynamic database, a high-performing cache, and a versatile message broker. Unveil its robust support for a plethora of data structures: strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes with radius queries, and streams. Delve into its innate replication capabilities, varied levels of on-disk persistence, and the strategic provisions for ensuring high availability through Redis Sentinel and automatic partitioning with Redis Cluster.”
This extended description aims to provide further depth, emphasizing the course’s comprehensive nature, hands-on learning opportunities, and Redis’s multifaceted capabilities for storage and data manipulation.
If you have any questions please feel free to ask in the question and answer section, I will be responding to each question twice a week. That’s all for now and I will see you inside the course now. Happy Learning !!!
Who this course is for:
Students with Bigdata or Data Science Technologies
Students with Willingness to learn about Fastest In Memory Database Technologies
Anyone who wants to work on real production like environment setup for Redis and do a deep dive in understanding Redis
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