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Home » Technology » Big Data & Data Science » Redis

Course Skill Level:

Foundational to Intermediate

Course Duration:

3 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:

    REDIS0L21E09

Who should attend & recommended skills:

Systems administrators comfortable with programming & developers familiar with database concepts with basic IT skills

Who should attend & recommended skills

  • Systems administrators comfortable with programming and developers familiar with database concepts who want to learn how to scale Redis from small jobs to massive datasets and dive into real use cases including simple caching, distributed ad targeting, and more.
  • Skill-level: Foundation-level Redis skills for Intermediate skilled team members. This is not a basic class.
  • IT Skills: Basic to Intermediate (1-5 years’ experience)
  • No prior exposure to Redis or other NoSQL databases required.

About this course

Redis introduces Redis and walks you through examples that demonstrate how to use it effectively. You’ll begin by getting Redis set up properly and then exploring the key-value model. Then, you’ll dive into real use cases including simple caching, distributed ad targeting, and more. You’ll learn how to scale Redis from small jobs to massive datasets. Experienced developers will appreciate lessons on clustering and internal scripting to make Redis easier to use.

Skills acquired & topics covered

  • Redis: expanding on the key-value pattern by accepting a wide variety of data types, including hashes, strings, lists, and other structures
  • Redis: it provides lightning-fast operations on in-memory datasets, and also makes it easy to persist to disk on the fly. Plus, it’s free and open source.
  • Redis from the ground up
  • Preprocessing real-time data
  • Managing in-memory datasets
  • Pub/sub and configuration
  • Persisting to disk

Course breakdown / modules

  • What is Redis?
  • What Redis data structures look like
  • Hello Redis
  • Getting help

  • Login and cookie caching
  • Shopping carts in Redis
  • Web page caching
  • Database row caching
  • Web page analytics

  • Strings
  • Lists
  • Sets
  • Hashes
  • Sorted sets
  • Publish/subscribe
  • Other commands

  • Persistence options
  • Replication
  • Handling system failures
  • Redis transactions
  • Non-transactional pipelines
  • Performance considerations

  • Logging to Redis
  • Counters and statistics
  • IP-to-city and -country lookup

  • Application components in Redis
  • Autocomplete
  • Distributed locking
  • Counting semaphores
  • Task queues
  • Pull messaging
  • Distributing files with Redis

  • Searching in Redis
  • Sorted indexes
  • Ad targeting
  • Job search

  • Users and statuses
  • Home timeline
  • Followers/following lists
  • Posting or deleting a status update
  • Streaming API

  • Short structures
  • Sharded structures
  • Packing bits and bytes

  • Scaling reads
  • Scaling writes and memory capacity
  • Scaling complex queries

  • Adding functionality without writing C
  • Rewriting locks and semaphores with Lua
  • Doing away with WATCH/MULTI/EXEC
  • Sharding LISTs with Lua

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