Certified Apache Flink 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.
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
★★★★★Reviews | 1438 Learners
Offers: Get HDFS & Java courses free with instructor-led Course
About Online Apache Flink Training
The online training on Apache Flink will provide indepth theoretical and hands on practical skills on Apache Flink to make you industry ready for executing batch and stream processing programs. It will cover concepts like Introduction to Apache Flink for Spark Developer, Apache Flink features, Flink architecture and installation on single node and cluster, Flink Stack, Flink APIs and libraries, deploying Flink on YARN, Kafka and Hadoop, real time Apache Flink use cases and Apache Flink examples along with companies using Apache Flink and many more to help you learn Apache Flink concepts from basic to advanced level covering the latest version for Apache Flink certifications.
Learn Apache Flink and become Flink expert by learning core techniques, best practices and hands-on working knowledge of Flink along with its eco-system like Batch and Streaming APIs, Table-APIs, Flink-ML, Gelly through Apache Flink Tutorial. For extensive hands-on practicals the training is associated with multiple workshops with each and every topic. The online Flink training course also covers real-life Apache Flink use cases, multiple Flink POCs with live data and a live Apache Flink project, to make you understand Fast Big Data: Apache Flink vs Apache Spark for Streaming Data.
Objectives of Apache Flink 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 Project
Prerequisites for learning Apache Flink
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 Flink training.
Why you should learn Apache Flink
Average salary of Apache Flink Developers is $135k -Indeed
There will be a shortage of 1.5M Big Data experts by 2018 -McKinsey
Flink market will reach $99B by 2022 at the CAGR of 42% -Forbes
More than 77% of organizations consider Flink a top priority -Peer Research
What you will get from this Apache Flink Course
30+ hrs of live online instructor-led sessions by industry veterans
Industry renowned Flink certification to give boost to your resume
100+ hrs of Flink practicals, workshops, labs and assignments
Personalized one to one career discussion directly with the trainer
Real life Flink case studies and live project to solve real problem
Mock interviews & resume preparation to excel in the interviews
Lifetime access to Flink course, and materials like ppts, manuals, practical & labs code
Premium job assistance and support to take ahead your Apache Flink career
Coach supported discussion forum for query resolution
Auto Upgradation of the course and study material in the LMS to latest versions
Who should go for Flink training
Professionals who are looking to make their career in latest and fastest Big Data technology Apache Flink should go for this course.
- Software developers, leads and project managers who would like to include Flink in their profile
- ETL developers, Analytics professionals and Architects
- Big Data professionals willing to accelerate their career as Flink developer
Highly experienced instructors
1 to 1 interaction with the instructor
5 Real time Apache Flink projects
100% Job assistance and support
Lifetime access to the course
Apache Flink 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
Apache Flink Projects
Web Analytics
Weblogs are web server logs, where web servers like apache records all the events along with remote-IP, time-stamp, requested-resource, referral, user-agent, etc. The objective is to analyze the weblogs and generate insights like user navigation pattern, top referral sites, highest/lowest traffic-time, etc.
Sentiment Analysis
Sentiment analysis is the analysis of people’s opinions, sentiments, evaluations, appraisals, attitudes and emotions in relation to entities like individuals, products, events, services, organizations and topics by classifying the expressions as negative / positive opinions
Crime Analysis
Analyze the US crime data and find most crime-prone area along with crime time and its type. The objective is to analyze the crime data and generate crime patterns like time, district, crime-type, latitude, longitude, etc. So that additional security measures can be taken in crime prone area.
IVR Data Analysis
Analyze IVR (Interactive Voice Response) data and generate various insights. The IVR call records are analyzed to optimize to IVR system so that maximum calls are completed at IVR and there will be minimum need for Call-center.
Titanic Data Analysis
Titanic was one of the biggest disasters in the history of mankind, which happened due to natural events and human mistakes. The objective is to analyze Titanic data sets and generate various insights related to age, gender, survived, class, emabrked, etc.
Amazon Data Analysis
Amazon data-sets contains user-reviews of different products, services, star-ratings, etc. The objective of the project is to analyze the users’ review data, companies can analyze the sentiments of the users regarding their products and use it for betterment of the same.
Course Plans
Course mode
Extensive hands-on practicals
Access Duration
Real-life Projects
Discussion Forum Access
Doubt Clearance Session
Complementary Java Course
Certification
Job Assistance
Resume & Interview Preparation
Interaction in Live class
Personalized career guidance
Course Objective
Video Based
Yes, in recordings & in LMS
Lifetime
One
Lifetime
Through discussion forum
Yes, with lifetime access
Yes, post course completion
No
No
No
No
Express Learning
Live Online with Trainer
Yes, live with instructor & in LMS
Lifetime
Five
Lifetime
Yes, regular sessions
Yes, with lifetime access
Yes, post course completion
Yes
Yes
100% interactive classes
Yes, from instructor
Job readiness
Job Grooming
On completion of Apache Flink training course, DataFlair’s job grooming program will help you in resume building and interview preparation. Mock interviews and resume referrals will make you job ready to excel in the interviews.
Resume Building
Build a favourable impression with the resume that stands out.
Resume Referral
Get connected with top employers to boost your career prospects.
Mock Interview
Make yourself job ready with multiple in-depth mock interviews.
Job Readiness
Get ready to work from day one with multiple projects & best practices
Companies you could land up with
50+
Corporate Clients /
Tie-Ups
100+
Offers made to
students
500+
Projects developed
by students
10000+
Hours of classes
delivered
Customer Reviews
Ed Miller
I am very happy to have taken this course! It was at a level I could understand and is easy to follow. Anish, was easy for me to understand his accent, I was happy… Read more “Ed Miller”
MD F H Khan
Got Job in Wipro as Big Data Developer after attending the training. The sessions were really good and I feel confident about working in Big Data Hadoop technology after attending the training sessions. It… Read more “MD F H Khan”
Mussie Kesete
I feel full confidence about Big Data and Hadoop now and I know that I am Hadoop expert now. Trainer is a very knowledgeable and well organized, he answered all my questions and my… Read more “Mussie Kesete”
Saurabh Shrivastava
After attending the demo session on Big Data Hadoop from DataFlair, I was motivated to Learn more in the field of Hadoop. I joined the training as I liked the demo very much. The… Read more “Saurabh Shrivastava”
Apache Flink Training FAQs
If you miss any session, you need not worry as we will not let you lose anything. All sessions will be recorded and recordings will be uploaded in LMS immediately as the session gets over. You can go through it and get your queries cleared from the instructor during next session. Alternatively you can attend the missed session in any other batch running parallely.
For performing practicals in Flink, Instructor will help you in setting virtual machine on your own system. LMS will contain manual to set virtual machine in case you want to go through the steps again.
There will be lifetime access to all the recorded sessions along with the complete study material, Flink POCs, Flink project etc.
For attending Flink online training, you just need a laptop or PC with a good internet connection of around 1 MBPS (But lesser speed of 512 KBPS will also work).
If you have any doubt during any session, you can get it cleared from the instructor immediately. If you get queries after the session, you can get it cleared from the instructor in the next session. Post training, you can post your query over discussion forum and our support team will assist you.
As soon as you enroll for the course, you will get lifetime access to LMS. Complimentary course will also be added immediately so that you can start learning immediately.
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 will gain thorough practical and theoretical knowledge that industry is looking for and will become Apache Flink professional who is ready to take Big Data requiring Flink Projects in your dream organisation.
Both voice and chat will be enabled during the online Flink training sessions to interact with the instructor.
This is completely online Flink training with a batch size of 8-10 students only. You will be able to interact with trainer through voice or chat and individual interaction and attention will be provided to all. So there will be complete environment of classroom learning.
Yes you can register now and can join any upcoming future batches at any point of time.
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.
It is not compulsory to know Hadoop for learning Flink but Prior Hadoop knowledge will be advantageous. If you are not aware of Hadoop, we will assist you in learning Hadoop basics.
Apache Flink is a streaming dataflow engine. It is 4G of Big data and is faster than Apache Spark. The demand for faster data processing has been increasing and real-time streaming data processing appears to be the answer. While Apache Spark is still being used in a lot of organizations for big data processing, Apache Flink has been coming up fast as an alternative.