Free Apache Flink Certification Course
Certified Apache Flink Free Online Training course from DataFlair is developed by Big Data experts to facilitate you with theoretical and practical knowledge for distributed stream and batch data processing system of Apache Flink – The Next Gen Big Data Analytics Framework.
Why should you enroll in this Free Apache Flink Course?
- 30+ Hrs of instructor-led sessions
- 100+ Hrs of practicals & assignments
- 5 Real-time big data projects
- Lifetime access to course with support
- Job oriented course with job assistance
What will you take home from this Apache Flink Free Online Training?
- Become adept in latest Big Data technology – ‘Apache Flink’ and be future ready
- Master core concepts of Apache Flink internals
- Learn Data Streaming Architecture with Apache Flink
- Learn how to handle diverse workload with Apache Flink
- Setup of multi-node Flink cluster on cloud
- Gain in depth knowledge on Flink Stack
- Grasp fundamental concepts of Flink Libraries and APIs
- Learn development of real-time streaming Flink applications
- Handle structured data using Table-API
- Perform advanced analytics using Flink ML – Flink Machine learning Example
- Process graph at scala using Gelly – Flink Graph API
- Complex Event Processing using Apache Flink – Flink CEP
- Integrate with different Big Data systems
- Work on real-time Flink Projects
Why should you learn Apache Flink?
-Indeed
-Forbes
-McKinsey
-Peer Research
What to do before you begin your Free Apache Flink online training?
To learn Apache Flink, Knowledge of core java will be helpful but it is not mandatory.
Java course will be provided as the complimentary course with this Free Flink training.
Online Apache Flink Free Training Course Curriculum
- Introduction to Scala
- Setup, Installation and configuration of Scala
- Develop and execute Scala Programs
- Scala operators and features
- Different Functions, procedures and Anonymous functions
- Deep dive into Scala APIs
- Collections Array, Map, Lists, Tuples and Loops
- Advanced operations – Pattern matching
- Eclipse IDE with Scala
- Object oriented programming
- Oops concepts
- Constructor, getter, setter, singleton, overloading and overriding
- Type Inference, Implicit Parameters, Closures
- Lists, Maps and Map Operations
- Nested Classes, Visibility Rules
- Functional Structures
- Functional programming constructs
- Learn What and why Apache Flink
- Understand Features of Apache Flink
- Apache Flink architecture and Flink design principles
- Work of master process – JobManager
- Role of worker process – TaskManager
- Workers, Slots and Resources
- Overview of Apache Flink APIs
- Understand difference between Apache Spark and Apache Flink to learn Flink vs Spark.
- Distributed Streaming DataFlow at Runtime with Flink
- Apache Flink APIs
- Apache Flink Libraries
- Data Flow in Apache Flink
- Fault tolerance in Apache Flink
- Setup of Apache Flink environment and pre-requisites
- Installation and configuration of Flink on single node
- Troubleshooting the encountered problems
- Setup environment on Cloud
- Install pre-requisites on all nodes
- Deploy Apache Flink on cluster and Cloud
- Play with Flink in cluster mode
- Introduction to Flink DataStream API
- Different DataStream Transformations in Flink
- Various Data Sources – File based, Socket based, Collection based, Custom
- Responsibility of Data Sink in Apache Flink
- Iterations in DataStream APIs
- DataStream Execution Parameters – Fault tolerance, Controlling Latency
- Overview of DataSet APIs in Flink
- Various DataSet Transformations in Flink
- Different Data Sources – File based, Collection based, Generic
- Responsibility of Data Sink in Flink DataSet APIs
- Iteration Operators in DataSet APIs
- Operating on Data Objects in Functions – Object Reuse Disabled/Enabled
- Registering Tables in Flink
- Table Access and various Table API operators in Flink
- SQL on batch tables and Streaming Tables
- Writing Flink Tables to external sinks
- Overview of Flink Libraries
- Flink CEP – Complex Event Processing library
- Apache Flink Machine Learning library
- Apache Flink Gelly -Graph processing API and Library
- Integrate Flink with Hadoop
- Process existing HDFS data with Flink
- Yarn and Flink integration
- Flink Data Streaming with Kafka
- Consume data in real time from Kafka
- Parallel Data Flow in Flink
- Develop complex Streaming applications in Flink
- Handle Batch processing in Flink using DataSet APIs
- Troubleshooting and Debugging Flink Programs
- Best Practices of development in Flink
- Real time Apache Flink Project
Features of Free Apache Flink Certification Course


Our students are working in leading organizations

Apache Flink Online Training FAQs
Multiple workshops, POCs, project etc. will prepare you to the level that you can start working from day 1 wherever you go. Resume preparation and Flink interview questions will help you in facing interviews. We will also guide you with the job openings matching to your resume. All this will help you in landing your dream Flink job in Big Data industry.
You can do the payment via credit card, debit card or net banking through any of the banks. You can use our payment gateway Payu for payment in INR. For payments in USD, you can do via Paypal. We also have part payment option.