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.
Basic knowledge of Distributed Frameworks.
Basic knowledge of OOPS.
Rest everything about Apache Flink is covered in this course with Practicals.
*** Note (2021) : All the codes are updated with latest Flink version.
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.
All the codes are updated with latest Flink version.
Who this course is for:
Students who want to learn Apache Flink from SCRATCH to its Live Project Implementation.
Who are new to Stream processing and want to learn a Stream processing framework which is better than Spark.
Software engineers who feel they missed an early opportuninty to get into Hadoop & Spark.
Hadoop & Spark Developers who want to upgrade themseleves to Apache's latest Big Data Streaming Engine.
Abu Bakar Siddiqur Rahman
Rating: 4.5 out of 58 months ago
This is an excellent course. Instructor provides good lecture. However, it will be plus if you have a basic knowledge on Apache flink, otherwise you can complete the course: it will take some time more.
14 sections • 55 lectures • 5h 49m total length
Hadoop Vs Streaming Engines (Spark & Flink)
Spark Vs Flink
Flink's programming model | Flow of a Flink program
Default Code structure of a Flink Program
WordCount using Map, Flatmap, Filter, groupby | Part 1
WordCount using Map, Flatmap, Filter, groupby | Part 2
All of our courses are made keeping in mind the Real-time implementation of Big data, Machine Learning and Cloud technologies in Live Projects. We make courses which majorly consist of Hands-On & Practicals. All our courses contain a detailed knowledge of a technology from Scratch to Advance level. Course's lectures explain the codes in such a way that even a Non-technical person can understand.