Uncorking Real-Time Analytics with Apache Kafka®, Apache Flink® & Apache Pinot™️

Hello Streamers!

Join us for a in-person meetup at Confluent HQ on Tuesday, October 29th from 5:30pm with Viktor Gamov.

Venue:
Confluent-Streams Cafe (across from the Front Desk)
899 W Evelyn Ave
Mountain View, CA

***Please note******: It will be required for all attendees to sign an NDA upon arrival to the meetup**.********

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🗓 Agenda:

• 5:30pm: Doors Open
• 6:00pm-7:00pm: Uncorking Real-Time Analytics with Apache Kafka®, Apache Flink® & Apache Pinot™️, Viktor Gamov, Principal Developer Advocate, Confluent
• 7:00pm-7:30pm: Additional Q&A and Networking

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💡 Speaker:
Viktor Gamov, Principal Developer Advocate @Confluent

Title of Talk:
Uncorking Real-Time Analytics with Apache Kafka®, Apache Flink, and Apache Pinot™️

Abstract:
In a world where real-time insights can make or break a business, transforming massive data streams into immediate, actionable intelligence is crucial. This is where the powerhouse trio of Apache Kafka, Apache Flink, and Apache Pinot™️comes in, offering a solution to this pressing need.

Under the guidance of Viktor Gamov, a principal developer advocate at Confluent, embark on an exhilarating journey to unlock the secrets of high-performance real-time analytics.

• The Dynamic Trio: Get acquainted with Kafka, Flink, and Pinot—understand their core functionalities and how they seamlessly work together to deliver lightning-fast analytics.
• Mastering Batch Data with Pinot: Learn how to efficiently ingest and query static data in Apache Pinot to extract valuable insights without delay.
• Streaming Integration with Kafka and Pinot: Discover how to enrich your analytics by integrating streaming data from Kafka into Pinot, blending real-time and batch data for a comprehensive view.
• Optimizing Your Analytics Pipeline: Uncover strategies for deciding what processing should happen in Flink versus Pinot to maximize performance and efficiency.

Through real-world examples and practical demonstrations, Viktor will equip you with the skills to set up robust data pipelines capable of handling massive data volumes easily. You can implement these technologies in your own applications, delivering real-time analytics like never before.

***DISCLAIMER BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinkingNOTE: We are unable to cater for any attendees under the age of 18.