Apache Kylin 101: Get Sub-Second Analytics on Massive Datasets

Presented by WWCode Dallas/Fort Worth
Speakers: Zitong Wei, Kaige Liu

Learn how the world’s leading open source solution for query acceleration on massive datasets is revolutionizing analytics for enterprises across every industry and how you can get started using it in your organization.

For many businesses, big data promises countless benefits, but unlocking those benefits is easier said than done. As data sources, data lakes, and datasets grow, analysts are finding that their query speeds and BI tools are struggling to keep up. Data engineering and IT are now in a constant battle to bridge the gap between data and analyst. To solve this challenge, many have turned to Apache Kylin’s OLAP engine to streamline query and BI acceleration.

This workshop will provide you with everything you need to understand the basics of Apache Kylin and clear steps for deploying it in your organization. Led by a seasoned Apache Kylin committer and the Principal Solutions Architect for Kyligence, the enterprise-ready version of Kylin, this course is the fastest way to get started with Kylin and great for ensuring you can avoid any pitfalls in adoption.

Attending this webinar, you’ll receive:
• A complete introduction to Apache Kylin, how it works, key applications, and how to get started using it
• A deep dive into modern OLAP, what makes it different from traditional OLAP, and how it compares to other popular approaches to query acceleration
• Expert advice from experienced Kylin users and developers about designing your models and cubes to address common analytics problems
See for yourself how OLAP is powering the next generation of analytics on big data. Register now!

- Zitong Wei is passionate about technology that helps solve people’s daily challenges. She has been in computer software for over 8 years and is now focused on big data technology. Serving as Principal Solutions Architect at Kyligence, she has helped world famous enterprises across many industries turn their big data assets into valuable insights. Previously she worked for MZ and eBay where she developed complicated data pipelines and large scale backend systems.

- Kaige Liu is a Senior Solutions Architect at Kyligence where he works building the next-generation big data analytics platform. Previously, he worked on the OpenStack and Bluemix team at IBM, focusing on cloud computing and virtualization technology. Kaige loves the open source community and is an active Apache Kylin committer.

Connect with Our Speakers:
https://www.linkedin.com/company/10548444/
https://twitter.com/kyligence
https://www.facebook.com/kyligenceinc/

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