Real-Time Analytics with Apache Pinot

You will learn about:

• What is OLAP database
• How to build a local Pinot cluster
• How to deploy real-time analytics to front-end

More about the event
Apache Pinot is a database optimized to serve analytical queries at extremely high levels of concurrency, at latencies measured in the tens of milliseconds, on data ingested from the streaming pipeline that underlies your system. It's an OLAP database, but one engineered from the ground up to power user-facing features, not manager-facing dashboards. In this workshop, we'll look briefly at how it's built, then work together to stand up a local Pinot cluster and put it to use. We'll begin by ingesting some static data and querying it. Then we'll stand up a local Kafka cluster and inject some streaming data into it, so we can ingest that real-time stream into Pinot. Finally, we'll join those data sources in Pinot and look at how to expose our newly-minted real-time analytics to an application front-end.

Our speaker
Barkha Herman is a passionate technologist, experienced developer advocate, and the founder of WiTToast and South Florida Women in Tech. With a deep understanding of technology and a love for fostering inclusive and diverse tech communities, Barkha is dedicated to empowering individuals and organizations to thrive in the rapidly evolving digital landscape.

Currently, Barkha is thriving as a Developer Advocate at StarTree.ai, where she collaborates with developers, engineers, and product teams to create innovative solutions that streamline development processes and enhance user experiences.

In addition to her work at StarTree.ai, she takes great pride in founding and leading WiTToast and South Florida Women in Tech. These organizations are committed to empowering women in technology and creating a supportive environment for their professional growth. Through mentorship programs, networking events, and educational initiatives, they strive to break barriers and foster inclusivity in the tech industry.