Apache Flink is an open-source platform for distributed stream and batch data processing. It is designed to provide high-throughput, low-latency processing with fault tolerance and scalability. As the popularity of Apache Flink continues to grow, there is an increasing demand for online courses that can provide individuals with the necessary skills to work with this platform. In this article, we will explore some of the best Apache Flink courses available online, highlighting their features, benefits, and potential drawbacks.
Here’s a look at the Best Apache Flink Courses and Certifications Online and what they have to offer for you!
- 10 Best Apache Flink Courses and Certifications Online
- 1. Apache Flink | A Real Time & Hands-On course on Flink by J Garg – Real Time Learning (Udemy) (Our Best Pick)
- 2. Learn By Example : Apache Flink by Loony Corn (Udemy)
- 3. Apache Flink Relational Programming using Table API and SQL by Adam McQuistan (Udemy)
- 4. Fundamentals of Apache Flink by Packt Publishing (Udemy)
- 5. Learn Apache Flink using Java | Big data Framework by A. K Kumar (Udemy)
- 6. Apache Flink desde cero: La guía esencial by Oscar Fernandez (Udemy)
- 7. Apache Flink Basics: Learn From Scratch by Pedro Planas (Udemy)
- 8. Apache Flink Basic Videocourse by Pedro Planas (Udemy)
- 9. Apache Flink Videocourse: Learn The Essentials by Pedro Planas (Udemy)
- 10. Apache Flink: A Basic Videocourse by Pedro Planas (Udemy)
This course focuses on Apache Flink, a Big data engine for Stream processing that is gaining popularity in the market. The course covers all concepts related to Flink, from Scratch to Real-Time implementation, and provides HANDS-ON Flink code for each concept. Additionally, the course includes concepts that are not very clear even in Flink’s official documentation. All Flink Java codes are explained line by line for the benefit of Non-Java developers. The course content is divided into sections that cover topics such as DataSet API, DataStream API Operations, Windows in Flink, Triggers & Evictors, Watermarks and Late elements, State, Checkpointing and Fault tolerance, Interacting with Real-Time Data using Kafka, and more. The course also includes case studies such as Twitter data analysis, Bank Real-Time Fraud detection, and Stock data processing in Real-Time. The Table & Sql API and Gelly API for Graph Processing are also covered.
The Learn By Example: Apache Flink Course is focused on stream and batch processing using Flink, a technology that provides the capability to execute other functionalities such as machine learning, graph algorithms, and batch processing. Flink allows building applications that need quick response to the latest data, such as monitoring payment gateway failures or triggering trades based on live stock price movements. This course contains 30 solved examples that demonstrate how to build Flink applications for both streaming and batch processing.
The course covers several topics, including transformations in the DataStream API, operations on multiple streams, window operations, managing fault-tolerance with state and checkpointing, transformations in the DataSet API, and applying machine learning algorithms on the fly using Flink-ML. Additionally, the course includes a section on representing graph data using Gelly.
The course is divided into several sections, including an introduction, Flink’s stream processing architecture, getting started with Flink, transformations using the DataStream API, custom sources, window operations, state and checkpointing, operations on multiple streams, transformations in the DataSet API, graph representation with Gelly, and machine learning with Flink-ML. Each section includes practical examples that demonstrate how to build Flink applications for stream and batch processing.
The course titled “Apache Flink Relational Programming using Table API and SQL” is designed to teach students how to use Apache Flink Table and SQL Interfaces via Python to process batch and streaming data workloads at scale. Apache Flink is a modern distributed computing framework that integrates with a wide variety of source and sink data systems such as flat files, databases, and message queues. The framework provides a unified approach to both batch and streaming data processing workloads, making it highly scalable and performant.
The course primarily focuses on the relational programming paradigm exposed through Apache Flink’s Table API and SQL interface, offering intuitive yet powerful abstractions to process vast amounts of data in either bounded or unbounded sources. Additionally, the course offers examples of batch processing with Flink, including consuming, processing, and producing results from/to the filesystem in CSV format. Students also learn stream processing with Flink through several examples consuming, processing, and producing results from/to Apache Kafka running in a local Dockerized Kafka cluster.
Apache Flink offers support for developing Flink applications with the Table API and SQL interface in Java, Scala, and Python. However, this course specifically focuses on using the Python bindings for Apache Flink due to the popularity of the Python programming language, particularly in the big data engineering ecosystem. The course aims to fill the gap by offering underrepresented Python programming in existing Apache Flink courses that primarily cover the Java and Scala APIs of Flink.
The course is divided into several sections covering an introduction to Apache Flink Table API and SQL Interface, TableEnvironment, Table Sources and Table Sinks, and Operations on the Table Object using Table API and SQL. Students are expected to have prior knowledge of Python programming, and some familiarity with distributed systems, big data technologies, and data analytics concepts. Overall, the course provides students with the necessary skills to harness the power of Apache Flink for batch and streaming data processing at scale using Python.
The Fundamentals of Apache Flink course, offered by Packt Publishing, teaches how to process real-time big data using Apache Flink and its ecosystem. The course explains Flink concepts and terminology and guides users through building a Flink instance, collecting data, and using that data to generate output that can be used as processed data input into other systems. Users will also use the Flink APIs to process data in batch and streaming modes. By the end of the course, students will be capable of using the Apache Flink ecosystem to achieve complex tasks such as event processing and machine learning.
The course instructor, Sridhar Alla, is the co-founder and CTO of Blue Whale Consulting. He has extensive experience dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives. Sridhar is also a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit. He has over 18 years’ experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing.
The course is divided into several sections, including Introduction to Flink, Using Flink Cluster UI and Data Onboarding, Batch Analytics with Apache Flink – Transformations, Batch Analytics with Apache Flink – Aggregations and Joins, Stream Processing with Apache Flink – Transformations, and Advanced Stream Processing with Apache Flink. Throughout these sections, users will learn how to process data in batch and streaming modes and achieve complex tasks such as event processing and machine learning.
This course, titled “Learn Apache Flink using Java | Big data Framework,” is designed to teach beginners and professionals how to use Apache Flink with Java. The course covers practical examples and real-time case studies.
Apache Flink is a new generation Big Data processing tool that works with bounded and unbounded datasets using the same stream-first architecture. It is stateful, tolerant, and a large-scale system with excellent latency and throughput characteristics.
Course topics include data transformation, data source and sink, windowing concepts, state and checkpoint, and building real-time streaming applications. The course also covers how to deploy Flink applications on AWS EC2.
Students will learn about custom data sources and file sources, state backend, and Flink multi-node installation. The course is divided into sections, including Introduction, Data Source, DataStream Transformation, Connectors, Streaming ETL Pipeline, Twitter Project, Window, Side Outputs, Working with State, Checkpoint, and Flink Multi Node Installation.
The course “Apache Flink desde cero: La guía esencial” is aimed at teaching learners how to use Apache Flink from scratch. Apache Flink is an open-source technology that allows for distributed and scalable real-time data processing with very low latency. The course consists of both theoretical and practical parts to help learners understand the key concepts of Apache Flink, its architecture, components, and functionality.
The practical lessons are interspersed with theoretical ones, making it easy for learners to follow. Additionally, learners will learn how to install all the necessary components of the system and use the available tools. The course also includes examples of developing streaming applications that interact with data sources and destinations using other technologies.
To apply the knowledge acquired during the course, learners will be required to complete a simple integration project with Apache Kafka and Elasticsearch. It is recommended that learners have knowledge of Linux shell and Java or Scala programming languages to follow the course conveniently.
The course comprises six sections, starting with the Introduction to Apache Flink, followed by the Basic concepts of Apache Flink, First Steps with Flink, Pipelines and ETL, Analytics with Apache Flink, and finally, the Project with Apache Flink. The instructor can be contacted through the platform in case of any queries.
The course “Apache Flink Basics: Learn From Scratch” is offered by instructor Pedro Planas for those who are interested in learning the basics of Apache Flink. The course is designed for beginners with no prior knowledge of Apache Flink. The course aims to provide an easy introduction to the world of Apache Flink. The course emphasizes on the need for motivation to learn and the importance of continuous learning.
The course covers basic information regarding Apache and informatics to help students advance in the subject. Additionally, the course provides tips and ideas to enhance the learning experience. The course content and sections include an introduction to Apache Flink.
Overall, the course is intended to assist beginners in gaining a basic understanding of Apache Flink. The course emphasizes on the need for continuous learning to improve in the subject.
The Apache Flink Basic Videocourse is an introductory course aimed at individuals who are interested in learning about the world of informatics and technology. The course is instructed by Pedro Planas and provides a comprehensive overview of Apache Flink from scratch. The course emphasizes the importance of dedication and self-improvement in order to effectively learn about the topic.
It is highly recommended that students identify their reasons for learning about Apache Flink in order to make the most of their time. With knowledge in technology being highly sought after by many companies and individuals, it is advantageous to start learning as soon as possible. The course provides tips on how to study effectively and encourages students to continue learning beyond the course.
The course consists of an introduction section and additional sections on course content. The main information is provided in the course description, and students are encouraged to remain motivated throughout the course.
The Apache Flink Videocourse, titled “Learn The Essentials,” is aimed at individuals who are new to the world of Apache Flink and want to learn from scratch. The course is instructed by Pedro Planas and is designed to provide an introduction to the field of informatics and technology.
To make the most out of the course, it is recommended that learners clearly define their reasons for learning the topic. This will help them take full advantage of the course and prepare for future employment opportunities in the technology field.
The course contains several tips to help learners study effectively, and emphasizes the importance of dedication to advance one’s skills. With the right mindset and commitment, the course promises to provide valuable insights and knowledge in Apache Flink.
The course content includes an intro section and further details are not specified. Learners are encouraged to keep learning and take advantage of the tips and resources provided in the course. Overall, the course promises to equip learners with the essential knowledge and skills required to start their journey in the world of Apache Flink.
Course Title: Apache Flink: A Basic Videocourse
Course Instructors: Pedro Planas
Course Short Description:
This course offers an introduction to Apache Flink for those who are starting out with the technology. It aims to provide basic knowledge about informatics and technology.
Course Long Description:
The Apache Flink: A Basic Videocourse is designed for individuals who are interested in learning about the world of Apache Flink. The course provides essential information that will help learners navigate the world of informatics and technology.
It is important to note that the course is only the beginning of the learning journey. Learners are advised to continue improving their knowledge through dedication and persistence. It is also recommended that learners understand the reason why they are learning the topic in order to maximize their learning experience.
The course offers various tips to enable learners to study effectively, and the instructors emphasize the importance of staying motivated throughout the course. Apache Flink is a technology that is in high demand, and acquiring knowledge in this area can lead to various job opportunities.
The course is divided into an introductory section and other content sections, which remain unspecified at this point. The main objective of the course is to provide learners with a solid foundation that will enable them to advance their knowledge of Apache Flink.