Real-time Reporting with Redis In-Memory Data Hosted on Azure
|When:||December 5th,2017 | 2:00 PM PST|
|Featured Speaker:||Cihan Biyikoglu, VP Product Management, Redis Labs
Jerod Johnson, Technical Marketing Engineer, CData Software
|Audience:||Redis or/and NoSQL users|
You Will Learn
- An overview of the CData Drivers for REdis
Redis is a widely adopted open source high-performance in-memory data store that runs on Azure, popularly used as a database, cache, or message broker. As an object data store, Redis data structures are highly flexible. While this has tremendous advantages for applications developers, this flexibility has made reporting on Redis a challenge – until now. With the new Redis ODBC Drivers from CData users can now use powerful analytics applications like Microsoft PowerBI to report directly on live in-memory Redis data structures.
This webinar, co-authored by CData and Redis Labs, starts with an introduction to Redis Labs, Redis, and Redis Enterprise, an introduction to CData Software, and an overview of the CData Drivers for Redis and how they create a relational data model for the key-value data in a Redis instance. It continues with a demonstration of provisioning a Redis Enterprise instance in Microsoft Azure, configuring the CData ODBC Driver for Redis, and using the ODBC Driver and Power BI to create a real-time visualization of the Redis data.
Cihan Biyikoglu, VP Product Management, Redis Labs
Cihan is a big data enthusiast who brings over twenty years of experience to Redis Labs’ product team. Cihan started his career as a C/C++ developer. Most recently, Cihan was Dir. of Product Management at Couchbase, responsible for the Couchbase Server product. Cihan was also part of the team in Redmond, WA that launched Azure public cloud platform at Microsoft. He also delivered a number of versions of SQL Server product suite. Previously Cihan worked on Informix and Illustra database products that were later acquired by IBM.
Cihan holds a number of patents in the database filed, and has a Bachelor of Science in Computer Engineering and a Master of Science in Database Systems.