Modern Redis Unleashed
What you'll learn
- Cache key/value data with Redis
- Store persistent JSON data with RedisJSON
- Query JSON data with RediSearch
- Interface with structured data in Python with Redis OM
- Deploy Redis Cloud to AWS, Google Cloud, or Azure
- Analyze time series data with RedisTimeSeries
- Create a real-time multi-cloud service environment with Redis Cloud Enterprise
- Generate real-time recommendations with RedisGraph
- Build a real-time leaderboard with RedisBloom
Requirements
- Ability to read Python code
- General familiarity with cloud services
- Access to a desktop PC and Internet
Description
You can avoid vendor lock-in with your cloud services by using Redis. Redis has become much more than just a distributed cache; its new Redis Modules architecture runs on any cloud provider and enables true multi-cloud and hybrid cloud deployments. Using Redis, you can distribute systems across many cloud providers, making you immune to outages in any one of them. Redis Modules, Redis Cloud, and Redis Enterprise are important new technologies to know about when designing your cloud computing architecture.
This compact course wastes no time! You'll learn by doing, using Redis Stack with a real e-commerce data set to:
Stream data in real time using Redis Streams
Store structured, persistent data into a distributed NoSQL document store with RedisJSON
Index and query structured data with RediSearch
Analyze time series data with RedisTimeSeries and Redis Insight
Create a real-time topseller leaderboard with RedisBloom
We will use a free Redis Cloud account and scripts written in Python to illustrate the use of each system. We'll walk you through setting it all up.
Redis makes it possible to build a complete technology stack that does not rely on a specific cloud computing vendor. Your colleagues probably still think Redis is just a caching technology; you can be the first to tell them about this new alternative for storing and processing data at massive scale. This concise yet complete training will get you up an running with Redis in the cloud, or on your own cluster.
Your instructor is Frank Kane, a former senior manager at Amazon specializing in distributed systems. Frank has taught over 1,000,000 students around the world.
* Development of this course was sponsored by Redis Ltd.
Who this course is for:
- Developers working with cloud services, interested in new technologies
Instructors
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
As a senior manager at Amazon during its early years, Frank Kane led large technical teams, managed multi-year projects, and served as a "bar-raiser" - interviewing thousands and hiring hundreds across the company.
Frank holds 26 issued patents in machine learning and personalization. After 9 years at Amazon and IMDb, he founded Sundog Education and has since taught over 1.1 million people in AI, ML, AWS, system design, and tech leadership. Frank has been teaching full-time for over 10 years - but is always building projects on the side with the latest emerging technologies, to better explain them to you!
Our teaching style is to simplify complex concepts - once you cut through all the notation and jargon, most of AI and machine learning is pretty easy to understand. We make these advanced topics accessible to anyone with a modest technical background, always using plain English and examples to drive it home. We make learning easy, hands-on, and fun.
Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.
Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.