Apache Kylin 101: Get Sub-Second Analytics on Massive Datasets
Details
Note - You will need to register for this workshop on the session's webinar page in order to receive access the day of the event. Sign up here: https://kyligence.zoom.us/webinar/register/WN_vEXiC_KrQPWdB8fHpf2UhQ
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 45-minute 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, 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!
All attendees will receive a FREE Kyligence t-shirt.*
*Shirts only available to attendees within the mainland United States at this time.
Presentor: Kaige Liu, Apache Kylin committer, Senior Solutions Architect @Kyligence
Kaige is a senior solutions architect at Kyligence, where he works on building the next-generation of big data analytics platforms. Previously, he worked on the OpenStack and Bluemix teams at IBM, focusing on cloud computing and virtualization technology.