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Apache Flink Online Training

(658 Ratings) 2412 Subscribers

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$ 525 $ 299
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Includes:
  • 45 hrs interactive session
  • Live Instructor
  • Virtual classroom
  • Study Materials
  • Resume & Interview preparation

Career Opportunities

The pay scale of professionals with Apache Flink is on par with industry standards. The average salary of Apache Flink professionals is $135k.
Apache Flink is shifting as an increasingly popular technology in the current industries as it is the latest technique of Big data, and at the time of writing this there are 3460 jobs available in India alone.
Top organizations like Wells Fargo & Company, MINTED LLC, Lyft, NVIDIA Corporation, Revolut Limited, BetterCloud, Sovrn Holdings, etc., utilize Apache Flink for their business as it acts as best data processing tool.
CAGR states that the market of Apache Flink will approach $99B by 2022 at the percentage of 42%.

Curriculum

Section 1: Introduction to Flink
  • Flink Introduction
  • Announcement
  • Batch Processing Vs Stream Processing
  • Hadoop Vs Streaming Engines (Spark & Flink)
  • Spark Vs Flink
  • Flink Architecture/Ecosystem
  • Flink's programming model | Flow of a Flink program
  • Installing Flink
Section 2: Transformation operations of DataSet API
  • Default Code structure of a Flink Program
  • WordCount using Map, Flatmap, Filter, groupby
  • Recommendation
  • Joins - Inner join
  • Joins - Left, Right & Full Outer Join
  • Join Hints for Optimization (Exclusive feature)
Section 3: DataStream API Operations
  • Data Sources & Sinks of Datastream API
  • First program using Datastream API
  • Reduce Operation
  • Fold Operation
  • Aggregation Operations in Flink
  • Split Operation
  • Iterate Operator
Section 4: Windows in Flink
  • Introduction to Windowing
  • Window Assigners
  • Various Time Notions of Windows in Flink
  • Tumbling Windows Implementation
  • Sliding Windows Implementation
  • Session Windows Implementation
  • Global Windows Implementation
  • Triggers & Evictors
  • Triggers in Windows
  • Evictors for Windows
Section 5: Watermarks and Late elements
  • Watermarks, Late Elements & Allowed Lateness
  • How to generate Watermarks
Section 6: State, Checkpointing and Fault tolerance
  • What is a State in Flink
  • Checkpointing and Barrier Snapshoting
  • Incremental Checkpointing (New Feature)
  • Types of States
  • Value State Implementation
  • List State Implementation
  • Reducing State Implementation
  • Managed Operator State Implementation
  • Implement Checkpointing in a Flink Program
  • The Broadcast State Implementation
  • Queryable State (Beta Version)
Section 7: Interacting with Real-Time Data
  • Getting Twitter data using its APIs
  • Adding Kafka to Flink as a Data source
  • Solve Real-Time Case studies using Flink
  • Twitter data analysis using Flink
  • Bank Real-Time Fraud detection
  • Stock Real-Time Data Processing
Section 8: Table & Sql API | Relational APIs of Flink
  • Introduction to Table & Sql API
  • The Flink Table DSL
  • Flink SQL like syntax
  • How to register a Table in Relational APIs
  • Writing Queries in Table & Sql API
Section 9: Gelly API for Graph Processing
  • Calculate Friends of Friends of a Person using GELLY Api
  • What is a Graph
Section 10: DataSet API
  • Iteration
  • Delta Operations
Section 11: DataStream API
  • Exactly once processing
  • Continuous streaming
  • Micro batch
  • Fault Tolerance
Section 12: Overview of Machine Learning in Flink
Section 13: Integrating Flink with other Big Data projects
  • Hadoop
  • YARN
  • Kafka
Section 14: Real-time project
  • Apache Flink project environment setup
  • Real-time Apache Flink project
  • Project demonstration
  • Expert evaluation and feedback
Section 15: You made it!!
  • Spark Databox Apache Flink certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counseling to guide you to a right path in Apache Flink career

About Apache Flink Online Training

Apache Flink is the latest generation Big Data processing tool, which is proficient enough to deal with complex stream and batch data processing. Apache Flink is transforming the aspect of data processing technologies. This Apache Flink online training course helps you learn the necessary skills that you required to create applications using Apache Flink.

This training offers a detailed introduction to Apache Flink, which helps you:

Learn to write the scalable streaming ETL, analytics, and event-driven applications. Our goal is to provide an honest introduction to Flink’s APIs for handling event and time; with the presumption that should comprehend these basics, you will be outfitted entirely to acquire the rest of what you require to understand from the objective. 

In this Apache Flink online training course, you will be trained on the following concepts:
Understand the overview and concept of Apache Flink.
How to fix up an ecosystem to create Flink applications
You will acquire knowledge on how to write secure and complicated data processing applications using Apache Flink.
You will understand a summary of how Apache Flink works under the hood and what it delivers to the realm of Big Data.
How to execute streaming data processing pipelines
How and why Flink handles state and event-time
You will learn every prospect of how to process data utilization of Apache Flink.
You will learn to analyze how to implement Apache Flink in real-time application.
How to use event time to estimate actual analytics consistently
How to develop event-driven applications on consecutive streams
By the end of this course, you will gain complete knowledge of how to write applications in Apache Flink and will be in excellent standard support to acquire more advanced features of 

This course is ideal for:
Hadoop Developers
Spark Developers
ETL developers
Analytics professionals and Architects
Big Data architects, engineers, and developers
Software engineers who aspire to get into the field of Hadoop and Spark
Big Data professionals wishing to expedite their career as Flink developer
Freshers who desire to to learn Apache Flink Stream processing framework

There are no specific prerequisites needed for this Apache Flink online training course. However, prior knowledge of distributed frameworks and the OOPS concept will be helpful but not compulsory.

Apache Flink Introduction

Apache Flink is one of the latest and successful platforms that industries are searching to use because of its even time capacities, which make a great advantage for the business. Through Apache Flink Online Training, you will acquire thorough knowledge about Apache Flink in a detailed manner, which will provide you a bright path for a flourishing career in Big Data Streaming Engine.

Apache Flink is an open-source stream processing structure promoted by the Apache Software Foundation. The heart of Apache Flink is a shared streaming dataflow powerhouse written in Java and Scala. The programming paradigm of Apache Flink implements event-at-a-time processing on both limited and countless datasets. At a fundamental level, the Flink paradigm comprises of streams and transformations. But, conceptually, a stream is a never-ending flow of data reports, and a transformation is an action that demands one or more streams as data, and generates one or more output streams as an outcome. Applications can be written in different languages like Java, Scala, Python, and SQL and are organized and optimized into dataflow applications automatically, which is accomplished in a cluster or cloud ecosystem.

Apache Flink offers a fast data throughput, weak performance latency streaming powerhouse along with supporting for organized-time processing and event management.  Flink applications are highly fault-tolerant in the case of engine failure and support specifically-once interpretation. 

Flink performs random dataflow applications in a data-parallel and pipelined mode. Flink’s pipelined execution time mode allows the accomplishment of batch and stream processing applications. Moreover, Flink’s execution time originally promotes the implementation of frequentative algorithms. However, like Apache Ignite, Flink does not afford its own data warehouse system, so by default, it utilizes HDFS to store data.


Batch Processing
Graph Processing
Interactive Processing
Iterative Processing
Real-Time Stream Processing
In-Memory Processing

Apache Flink: Exams and Certifications

At the end of the Apache Flink online training course, candidates are supposed to work in real-time projects with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project. 

As long as you get cleared, you are permitted to try the test. However, our Apache Flink online training courses are educated with the professional experts that our candidates will pass the Apache Flink exam with a good score. But, in the chance of failure, you have to pay over the certification again to retake the course exam. However, we advise you to be dedicated to the training course and work on your doubts before you arrive on the exam.

If you slip in the first attempt, you can retake the exam after 30 days by paying the reattempt fees.

You can visit the website that manages the Apache Flink certification to apply for the exam. The trainers will also guide you on every step to apply for the examination.

Yes, you can withdraw your enrollment if required. We will refund the course payment after deducting the administration fee.

A professional Apache Flink certification or formal training will assist you in handling the applications more productively and efficiently than taking up information from freely available sources. A professional course will benefit you stand unique in the circle.

Apache Flink: Job opportunities

Once you are certified with the Apache Flink Online Courses certification, you will have an abundance of career opportunities from which you can grasp with Spark Databox placement support rendered by the trainers as a part of the course training.

We have gathered a comprehensive index of blogs and free tutorials to aid beginners who are striving to learn and master Apache Flink. Once you are all done with learning the basics and setting a strong foundation, the online training certification will get you a master of Apache Flink.

As Apache Flink is the most advanced and new big data processing framework, it is considered as the future hope of big data analytics. Therefore holding an Apache Flink certification will help you get placed in Top Companies with the best salary in the market.

You can receive in-depth knowledge of the Apache Flink platform, and it confirms your technical skills on the implementation and management of Apache Flink certification. These certifications will be highly beneficial for those aiming to improve their knowledge and career to the succeeding levels with high salaries in Big data.

Learn Apache Flink from Spark Databox and become Flink specialist by acquiring core techniques, most high-grade practices, and hands-on practical knowledge of Flink along with its eco-friendly Batch and Streaming APIs, Table APIs, Gelly APIs, ML APIs through Apache Flink training. For comprehensive hands-on experiences, our practice is connected with multiple workshops with every concept. Spark Databox online Flink training course also includes real-life Apache Flink use cases, complicated Flink POCs with real data, and an active Apache Flink design, to help you understand Big Data. Along with all other facilities, Spark Databox also provides some assistance like providing a quiz for practice, provide you with sample questions, provide you with self-paced labs, and provide other additional study materials. 

You will be provided placement and resume building assistance in Spark Databox. By the end of this Apache Flink training course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will ensure you have all the support you require to secure a job. 

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
10-Dec-19 07-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.

Reviews

Online Apache Flink training at Spark Databox has everything you need to become a big data expert. If you have chosen them, then you did the right choice.

Abijit kundgol
Big data developer

I firmly believe that Spark Databox is the perfect place to start your professional career in the technology space. Apache Flink course was praiseworthy.

Sameer Gulladi
Big data developer

Spark Databox's Apache flink training is perfect for any beginner who is trying to start their career in big data field. they start from basic and cover everything you need!

Girija Natesan
Big data architect

Apache Flink online training at Spark Databox is the best. This course delivered everything. I am really proud to say that I have been able to achieve very good results in my project after taking this training.

Naveen Kumar
Big data developer

I had a long gap in my career. Spark Databox was able to get me back on track in the industry. their apache flink training is an excellent choice.

Annapoorni vasudevan
Big data developer

I recommend Spark Databox for your online Apache flink training.

Ganapathi sethuraman
Big data architect

best online training for apache flink. My trainer Akash is really good and knowledgeable. He was very patient with our batch and explained each and every concept in detail with practical examples.

Akilesh yadhav
Big data developer

I am very much satisfied with the training I got from Spark Databox. I took Apache Flink training 2 months before and I am placed now. their placement department does a very good job.

Gayathri Krishnan
Big data developer

FAQs

Our coaching assistants are well-experienced partners of industry experts to support you get accredited in your first endeavor. They involve learners to take part actively to assure the candidates are successfully following the course sessions to help enhance your learning activity, from class onboarding to project training and job assistance.
All of our profoundly qualified trainers are industry experts with at least 12-15 years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved for the training session. We also assure that only those trainers with high alumni rank continue to train candidates
Every training session will be recorded, and access will be provided to all the videos on Spark Databox 's state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you have the other option to grasp the dropped session in any different live batch.