Building streaming data applications using Kafka*[Connect + Core + Streams]

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Details
Please join us for an exciting evening to learn more from Slim Baltagi (http://linkedin.com/in/slimbaltagi) about building end-to-end streaming data applications using Kafka Connect + Kafka Core + Kafka Streams through a reference architecture, core concepts, code samples and demo.
Sponsor:
• Braintree (https://www.braintreepayments.com), a division of PayPal Inc. is hosting the event and sponsoring for pizza and drinks.
Schedule:
• 6:00 pm - 6:25 pm Pizza & Networking
• 6:25 pm - 6:30 pm Welcome and introduction by Braintree Payments
• 6:30 pm - 7:30 pm Talk: Building streaming data applications using Kafka*[Connect+ Core + Streams] by Slim Baltagi
Talk description: Apache Kafka evolved from an enterprise messaging system to a fully distributed streaming platform for building real-time streaming pipelines and streaming applications without the need for other tools/clusters for data ingestion, storage and stream processing.
In this talk you will learn more about:
• An introduction to Kafka Core, Kafka Connect and Kafka Streams through code examples, key concepts and key features.
• A reference architecture for building such Kafka-based streaming data applications.
• A demo of an end-to-end Kafka-based streaming data application that you can leverage as a reference implementation.
Speaker Bio:
• Slim Baltagi (https://www.linkedin.com/in/slimbaltagi) (https://www.linkedin.com/in/slimbaltagi)is an IT leader with extensive Big Data experience as Director/Architect/Engineer at fortune 500 companies.
• He is the creator and maintainer of SparkBigData.com (http://www.SparkBigData.com), a Big Data Knowledge Base for projects such as Hadoop, Spark, Flink, Kafka, AWS, … and a daily-updated blog: 'Streaming Data Monthly Digest'.
• He is an organizer of many Real-Time streaming analytics meetups in US cities and abroad.
• He is a speaker at many Big Data conferences and meetups with over 200,000 views of his slides at http://www.slideshare.net/sbaltagi and video recordings https://goo.gl/gGiyMi

Building streaming data applications using Kafka*[Connect + Core + Streams]