Overview of Apache Flink: Next-Gen Big Data Analytics Framework

Talk: Please join the first Apache Flink (http://flink.apache.org) meetup in Chicago! Slim Baltagi, Director of Big Data Engineering at Capital One, will be giving an introductory level talk about Apache Flink: a memory-centric Big Data processing framework with a streaming dataflow execution engine, several APIs and domain-specific libraries for batch, streaming, machine learning and graph processing. Follow-up talks will dive into the technical details of Apache Flink.

In this talk, you will learn:

1. What is Apache Flink stack and how it fits in the Big Data ecosystem?

2. How Apache Flink integrates with Hadoop and other open source tools for data input and output as well as deployment?

3. Why Apache Flink is an alternative to Apache Hadoop MapReduce?

4. Why Apache Flink is an alternative to Apache Storm?

5. Why Apache Flink is an alternative to Apache Spark and what are the advantages of Apache Flink over Apache Spark?

6. What is the architecture of Apache Flink?

7. What are the different execution modes of Apache Flink?

8. Where to learn more about Apache Flink?

Bio: Slim Baltagi is currently director of Big Data engineering at Capital One. He has more than 17 years of IT and business experience and has spent the last four years of his life hadooping and more recently sparking and flinking! He has worked on more than 12 Big Data projects as a solution architect. He enjoys evangelizing about Big Data technologies and maintaining a Big Data Knowledge Base (http://www.SparkBigData.com): Hadoop, Spark, Flink, Mesos,...

Schedule:

5:30 pm - 6:00 pm : Networking, pizza and drinks

6:00 pm – 7:00 pm : Talk