Exploring the Apache Flink API for Processing Streaming Data from Pluralsight

Flink is a stateful, tolerant, and large scale system which works with bounded and unbounded datasets using the same underlying stream-first architecture.

Apache Flink is built on the concept of stream-first architecture where the stream is the source of truth. In this course, Exploring the Apache Flink API for Processing Streaming Data, you will perform custom transformations and windowing operations on streaming data.

First, you will explore different stateless and stateful transformations that Flink supports for data streams such as map, flat map, and filter transformations.

Next, you will learn the use of the process function and the keyed process function which allows you to perform very granular operations on input streams, get access to operator state, and access timer services.

Finally, you will round off your knowledge of the Flink APIs by performing transformations using the table API as well as SQL queries.

When you are finished with this course you will have the skills and knowledge to design Flink pipelines, access state and timers in Flink, perform windowing and join operations, and run SQL queries on input streams.

What's inside

Syllabus

Course Overview

Applying Transforms on Input Streams

Performing Custom Transforms on Streams

Working with Windowing Operations on Streams

Exploring the Table API and Running SQL Queries

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches skills, knowledge, and/or tools that are highly relevant to industry

Builds a strong foundation for beginners

Develops professional skills or deep expertise in a particular topic or set of topics

Covers unique perspectives are ideas that may add color to other topics and subjects

Takes a creative approach to an otherwise established topic, field, or subject

Advises students to take other courses first as prerequisites

Requires that this course be taken in serial with others as part of a series

Requires learners to come in with extensive background knowledge first

Career center

Learners who complete Exploring the Apache Flink API for Processing Streaming Data will develop knowledge and skills that may be useful to these careers:

Head of Data

A Head of Data is responsible for the overall data strategy and operations of an organization. Heads of Data who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Head of Data to better understand the challenges and opportunities involved in managing streaming data.

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Chief Analytics Officer

A Chief Analytics Officer is responsible for the development and implementation of analytics initiatives across an organization. Chief Analytics Officers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Chief Analytics Officer to better understand the challenges and opportunities involved in managing streaming data.

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Vice President of Data Science

A Vice President of Data Science is responsible for the development and implementation of data science initiatives across an organization. Vice Presidents of Data Science who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Vice President of Data Science to better understand the challenges and opportunities involved in managing streaming data.

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Chief Data Officer

A Chief Data Officer is responsible for the overall data strategy of an organization. Chief Data Officers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Chief Data Officer to better understand the challenges and opportunities involved in managing streaming data.

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Data Science Manager

A Data Science Manager leads a team of data scientists and is responsible for the development and implementation of data science projects. Data Science Managers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Data Science Manager to better understand the challenges involved in developing and implementing streaming data science projects. This course may also be helpful for Data Science Managers who want to build a foundation in stream processing.

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Technical Product Manager

A Technical Product Manager is responsible for the technical aspects of a product's development and launch. Technical Product Managers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Technical Product Manager to better understand the technical challenges involved in developing and launching streaming products. This course may also be helpful for Technical Product Managers who want to build a foundation in stream processing.

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Solutions Architect

A Solutions Architect designs and implements technology solutions for businesses. Solutions Architects who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Solutions Architect to design and implement more scalable and reliable solutions. This course may also be helpful for Solutions Architects who want to build a foundation in stream processing.

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Product Manager

A Product Manager is responsible for the development and launch of new products. Product Managers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Product Manager to better understand the needs of their customers and to develop more successful products. This course may also be helpful for Product Managers who want to build a foundation in stream processing.

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Business Analyst

A Business Analyst helps businesses to understand their data and make better decisions. Business Analysts who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Business Analyst to be more effective in their work. This course may also be helpful for Business Analysts who want to build a foundation in stream processing.

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Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. Data Analysts who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Data Analyst to be more efficient in their work. This course may also be helpful for Data Analysts who want to build a foundation in stream processing.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. Software Engineers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Software Engineer to build more scalable and reliable applications. This course may also be helpful for Software Engineers who want to build a foundation in stream processing.

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Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. These models can be used for a variety of purposes, such as predicting customer behavior, identifying fraud, and optimizing business processes. Machine Learning Engineers who work with streaming data may find this course useful. This course covers the fundamentals of stream processing with Apache Flink, a skill that could help a Machine Learning Engineer to build more accurate and timely models. This course may also be helpful for Machine Learning Engineers who want to build a foundation in stream processing.

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Data Scientist

A Data Scientist uses data to find solutions to business problems. This can involve collecting, cleaning, and processing data; building models to predict future outcomes; and communicating findings to stakeholders. Data Scientists who specialize in stream data may find this course particularly useful, as it covers the fundamentals of stream processing with Apache Flink. These skills could help a Data Scientist to develop more accurate and timely models. This course may also be helpful for Data Scientists who want to build a foundation in stream processing.

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Data Engineer

A Data Engineer designs, builds, and maintains the systems that ingest, process, and store data for an organization. Data Engineers who work with stream-first architecture may find this course useful. This course covers stream processing with Apache Flink, a skill that could help a Data Engineer be more effective in their work.

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Data Architect

A Data Architect designs and builds pipelines to structure data into a format that makes it easy for the organization to use. Their work ensures the organization's data is accessible, reliable, and useful. To be a successful Data Architect, you should take courses that cover accessing data from streaming applications, such as Apache Flink. This course covers how to collect, filter, and move data using Flink, a skillset that may be useful for a Data Architect.

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