Apache Flink | A Real Time & Hands-On course on Flink
- 4.3
-
![]()
![]()
![]()
![]()
Brief Introduction
Complete, In-depth & HANDS-ON practical course on a technology better than Spark for Stream processing i.e. Apache FlinkDescription
*** 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.
Requirements
- Requirements
- Basic knowledge of Distributed Frameworks.
- Basic knowledge of OOPS.
- Rest everything about Apache Flink is covered in this course with Practicals.
J Garg - Real Time Learning
4.3 Raiting
Apache Spark with Scala - Hands On with Big Data!
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala! Get a crash course in the Scala programming language...
Complete Machine Learning & Data Science Bootcamp 2021
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more! You will go from zero to mastery!...
Hands on Hadoop 3 for Big Data
- 5
-
![]()
![]()
![]()
![]()
![]()
Perform real-time data analytics, streaming, and batch processing using Hadoop 3 Apache Hadoop is an open source framework for distributed storage and processing of Big Data....
gRPC [Golang] Master Class: Build Modern API & Microservices
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Better than REST API! Build a fast scalable HTTP/2 API for a Golang micro service with gRPC, Protocol Buffers (protobuf) It relies on Protocol Buffers for the transport mechanism and Service Definition language....
