Apache Flink | A Real Time & Hands-On course on Flink

A to Z, In-depth & HANDS-ON Practical course on a technology better than Spark for Stream processing i.e. Apache Flink

Apache Flink is the successor to Hadoop and Spark. It is the next generation Big data engine for Stream processing. If Hadoop is 2G, Spark is 3G then Apache Flink is the 4G in Big data stream processing frameworks. Actually Spark was not a true Stream processing framework, it was just a makeshift to do it but Apache Flink is a TRUE Streaming engine with added capacity to perform Batch, Graph, Table processing and also to run Machine Learning algorithms.

What you’ll learn

  • Learn a cutting edge and Apache’s latest Stream processing framework i.e. Flink..
  • Learn a technology which is much faster than Hadoop and Spark..
  • Understand the working of each and every component of Apache Flink with HANDS-ON Practicals..
  • Even learn those concepts which are not properly explained in Flink’s official documentation..
  • Solve Real-Time Business case studies using Apache Flink..
  • Data-sets and Flink codes used in lectures are available in resources tab. This will save your typing efforts..

Course Content

  • Introduction to Flink –> 8 lectures • 49min.
  • Transformation operations of DataSet API –> 6 lectures • 39min.
  • DataStream API Operations –> 7 lectures • 40min.
  • Windows in Flink –> 7 lectures • 28min.
  • Triggers & Evictors –> 2 lectures • 13min.
  • Watermarks and Late elements –> 2 lectures • 14min.
  • State, Checkpointing and Fault tolerance –> 11 lectures • 1hr 10min.
  • Interacting with Real-Time Data using Kafka –> 2 lectures • 19min.
  • Case Study 1 – Twitter data analysis using Flink –> 1 lecture • 13min.
  • Case Study 2 – Bank Real-Time Fraud detection –> 1 lecture • 15min.
  • Case Study 3 – Stock data processing in Real-Time –> 2 lectures • 16min.
  • Table & Sql API | Relational APIs of Flink –> 3 lectures • 16min.
  • Gelly API for Graph Processing –> 2 lectures • 13min.
  • BONUS –> 1 lecture • 2min.

Apache Flink | A Real Time & Hands-On course on Flink

Requirements

  • Basic knowledge of Distributed Frameworks..
  • Basic knowledge of OOPS..
  • Rest everything about Apache Flink is covered in this course with Practicals..

Apache Flink is the successor to Hadoop and Spark. It is the next generation Big data engine for Stream processing. If Hadoop is 2G, Spark is 3G then Apache Flink is the 4G in Big data stream processing frameworks. Actually Spark was not a true Stream processing framework, it was just a makeshift to do it but Apache Flink is a TRUE Streaming engine with added capacity to perform Batch, Graph, Table processing and also to run Machine Learning algorithms.

Apache Flink is the latest Big data technology and is rapidly gaining momentum in the market. It is assumed that same like  Apache Spark replaced Hadoop, Flink can also replace Spark in the coming near future.

Demand of Flink in market is already swelling. Big companies like Capital One (Bank), Alibaba (eCommerce), Uber (Transportation) have already started using Apache Flink to process their Real-time Big data and thousands other are diving into.

What’s included in the course ?

  • Complete Apache Flink concepts explained from Scratch to Real-Time implementation.
  • Each and Every Apache Flink concept is explained with a HANDS-ON Flink code of it.
  • Include even those concepts, the explanation to which is not very clear even in Flink official documentation.
  • For Non-Java developer’s help, All Flink Java codes are explained line by line in such a way that even a non -technical person can understand.
  • Flink codes and Datasets used in lectures are attached in the course for your convenience.