This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. The presentations will focus on the core concepts of distributed streaming dataflows, event time, and key-partitioned state. The exercises will give you a chance to see how these concepts are reflected in the API, and to understand how the pieces fit together to solve real problems.Course Content

• Introduction to Stream Processing and Apache Flink
• Foundations of the DataStream API
• Getting Setup for Flink Development (incl. exercise)
• Stateful Stream Processing (incl. exercise)
• Time, Timers, and ProcessFunction (incl. exercise)
• Connected Streams: Control and Enrichment Patterns (incl. exercise)
• Testing (incl. exercise)

Prerequisites:

No prior knowledge of Apache Flink is required.

You will need your own laptop with these tools installed:

• Git
• Java 8 JDK (a JRE is not sufficient, and newer versions of Java will not work)
• Maven 3.x
• An IDE for Java (or Scala) development

Any laptop capable of running an IDE, such as IntelliJ (MacOS, Linux, or Windows), should be fine.To save time during the event, we would also like you to get Flink running before you come to the training. We will send an email with detailed setup instructions a week or two before the conference. 

This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. The presentations will focus on the core concepts of distributed streaming dataflows, event time, and key-partitioned state. The exercises will give you a chance to see how these concepts are reflected in the API, and to understand how the pieces fit together to solve real problems.Course Content

• Introduction to Stream Processing and Apache Flink
• Foundations of the DataStream API
• Getting Setup for Flink Development (incl. exercise)
• Stateful Stream Processing (incl. exercise)
• Time, Timers, and ProcessFunction (incl. exercise)
• Connected Streams: Control and Enrichment Patterns (incl. exercise)
• Testing (incl. exercise)

Prerequisites:

No prior knowledge of Apache Flink is required.

You will need your own laptop with these tools installed:

• Git
• Java 8 JDK (a JRE is not sufficient, and newer versions of Java will not work)
• Maven 3.x
• An IDE for Java (or Scala) development

Any laptop capable of running an IDE, such as IntelliJ (MacOS, Linux, or Windows), should be fine.To save time during the event, we would also like you to get Flink running before you come to the training. We will send an email with detailed setup instructions a week or two before the conference. 

This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. The presentations will focus on the core concepts of distributed streaming dataflows, event time, and key-partitioned state. The exercises will give you a chance to see how these concepts are reflected in the API, and to understand how the pieces fit together to solve real problems.

Course Content

• Introduction to Stream Processing and Apache Flink
• Foundations of the DataStream API
• Getting Setup for Flink Development (incl. exercise)
• Stateful Stream Processing (incl. exercise)
• Time, Timers, and ProcessFunction (incl. exercise)
• Connected Streams: Control and Enrichment Patterns (incl. exercise)
• Testing (incl. exercise)

Prerequisites

No prior knowledge of Apache Flink is required.You will need your own laptop with these tools installed:

• Git
• Java 8 JDK (a JRE is not sufficient, and newer versions of Java will not work)
• Maven 3.x
• An IDE for Java (or Scala) development

Any laptop capable of running an IDE, such as IntelliJ (MacOS, Linux, or Windows), should be fine.To save time during the event, we would also like you to get Flink running before you come to the training. We will send an email with detailed setup instructions a week or two before the conference. 

This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. The presentations will focus on the core concepts of distributed streaming dataflows, event time, and key-partitioned state. The exercises will give you a chance to see how these concepts are reflected in the API, and to understand how the pieces fit together to solve real problems.

Course Content

• Introduction to Stream Processing and Apache Flink
• Foundations of the DataStream API
• Getting Setup for Flink Development (incl. exercise)
• Stateful Stream Processing (incl. exercise)
• Time, Timers, and ProcessFunction (incl. exercise)
• Connected Streams: Control and Enrichment Patterns (incl. exercise)
• Testing (incl. exercise)

Prerequisites

No prior knowledge of Apache Flink is required.You will need your own laptop with these tools installed:

• Git
• Java 8 JDK (a JRE is not sufficient, and newer versions of Java will not work)
• Maven 3.x
• An IDE for Java (or Scala) development

Any laptop capable of running an IDE, such as IntelliJ (MacOS, Linux, or Windows), should be fine.To save time during the event, we would also like you to get Flink running before you come to the training. We will send an email with detailed setup instructions a week or two before the conference. 

This course is a hands-on introduction to topics relating to the deployment and operation of Apache Flink applications. The intended audience includes developers and operations staff responsible for deploying Flink applications and maintaining Flink clusters. The presentations will focus on the core concepts involved in the Flink runtime, and the principal tools available for deploying, upgrading, and monitoring Flink applications. The exercises will provide a hands-on introduction to these same topics.

Course Content

• Introduction to Stream Processing and Apache Flink
• Flink in the Data Center
• Architecture and Distributed Runtime
• Containerized Deployments (incl. hands-on)
• State Backends and Fault Tolerance (incl. hands-on)
• Upgrades and State Migration (incl. hands-on) 
• Metrics (incl. hands-on) 
• Capacity Planning

Prerequisites:

No prior knowledge of Apache Flink is required.

You will need a notebook with at least 8 GB RAM and Docker installed.We will send an email with more detailed setup instructions a week or two before the conference.

This course is a hands-on introduction to topics relating to the deployment and operation of Apache Flink applications. The intended audience includes developers and operations staff responsible for deploying Flink applications and maintaining Flink clusters. The presentations will focus on the core concepts involved in the Flink runtime, and the principal tools available for deploying, upgrading, and monitoring Flink applications. The exercises will provide a hands-on introduction to these same topics.

Course Content

• Introduction to Stream Processing and Apache Flink
• Flink in the Data Center
• Architecture and Distributed Runtime
• Containerized Deployments (incl. hands-on)
• State Backends and Fault Tolerance (incl. hands-on)
• Upgrades and State Migration (incl. hands-on) 
• Metrics (incl. hands-on) 
• Capacity Planning

Prerequisites:

No prior knowledge of Apache Flink is required.

You will need a notebook with at least 8 GB RAM and Docker installed.We will send an email with more detailed setup instructions a week or two before the conference.

This course is a hands-on introduction to topics relating to the deployment and operation of Apache Flink applications. The intended audience includes developers and operations staff responsible for deploying Flink applications and maintaining Flink clusters. The presentations will focus on the core concepts involved in the Flink runtime, and the principal tools available for deploying, upgrading, and monitoring Flink applications. The exercises will provide a hands-on introduction to these same topics.

Course Content

• Introduction to Stream Processing and Apache Flink
• Flink in the Data Center
• Architecture and Distributed Runtime
• Containerized Deployments (incl. hands-on)
• State Backends and Fault Tolerance (incl. hands-on)
• Upgrades and State Migration (incl. hands-on) 
• Metrics (incl. hands-on) 
• Capacity Planning

Prerequisites

No prior knowledge of Apache Flink is required.You will need a notebook with at least 8 GB RAM and Docker installed.We will send an email with more detailed setup instructions a week or two before the conference.

This course is a hands-on introduction to topics relating to the deployment and operation of Apache Flink applications. The intended audience includes developers and operations staff responsible for deploying Flink applications and maintaining Flink clusters. The presentations will focus on the core concepts involved in the Flink runtime, and the principal tools available for deploying, upgrading, and monitoring Flink applications. The exercises will provide a hands-on introduction to these same topics.

Course Content

• Introduction to Stream Processing and Apache Flink
• Flink in the Data Center
• Architecture and Distributed Runtime
• Containerized Deployments (incl. hands-on)
• State Backends and Fault Tolerance (incl. hands-on)
• Upgrades and State Migration (incl. hands-on) 
• Metrics (incl. hands-on) 
• Capacity Planning

Prerequisites

No prior knowledge of Apache Flink is required.You will need a notebook with at least 8 GB RAM and Docker installed.We will send an email with more detailed setup instructions a week or two before the conference.

Apache Flink supports SQL as a unified API for stream and batch processing. SQL can be used for a wide variety of use cases, and lead to solutions that are easier to build and maintain than applications built with Flink’s lower-level APIs. In this hands-on training you will learn how to fully leverage the potential of running SQL queries on data streams with Apache Flink. We will look at different use cases for streaming SQL, including enriching and joining streaming data, computing windowed aggregations, maintaining materialized views, and defining and matching patterns using the MATCH RECOGNIZE clause which is part of SQL since 2016.

Course Content

• Introduction to SQL on Flink
• Querying Dynamic Tables with SQL
• Joining Dynamic Tables
• Pattern Matching with MATCH_RECOGNIZE
• Ecosystem & Writing to External Tables

Prerequisites

No prior knowledge of Apache Flink is required. Basic knowledge of SQL is required.

You will need a notebook with at least 8 GB RAM and Docker installed. To save time during the event, we would also like you set up the training environment beforehand, i.e. to download all required Docker containers. We will send an email with detailed setup instructions about a week before the conference. 

Apache Flink supports SQL as a unified API for stream and batch processing. SQL can be used for a wide variety of use cases, and lead to solutions that are easier to build and maintain than applications built with Flink’s lower-level APIs. In this hands-on training you will learn how to fully leverage the potential of running SQL queries on data streams with Apache Flink. We will look at different use cases for streaming SQL, including enriching and joining streaming data, computing windowed aggregations, maintaining materialized views, and defining and matching patterns using the MATCH RECOGNIZE clause which is part of SQL since 2016.

Course Content

• Introduction to SQL on Flink
• Querying Dynamic Tables with SQL
• Joining Dynamic Tables
• Pattern Matching with MATCH_RECOGNIZE
• Ecosystem & Writing to External Tables

Prerequisites

No prior knowledge of Apache Flink is required. Basic knowledge of SQL is required.

You will need a notebook with at least 8 GB RAM and Docker installed. To save time during the event, we would also like you set up the training environment beforehand, i.e. to download all required Docker containers. We will send an email with detailed setup instructions about a week before the conference. 

Apache Flink supports SQL as a unified API for stream and batch processing. SQL can be used for a wide variety of use cases, and lead to solutions that are easier to build and maintain than applications built with Flink’s lower-level APIs. In this hands-on training you will learn how to fully leverage the potential of running SQL queries on data streams with Apache Flink. We will look at different use cases for streaming SQL, including enriching and joining streaming data, computing windowed aggregations, maintaining materialized views, and defining and matching patterns using the MATCH RECOGNIZE clause which is part of SQL since 2016.

Course Content

• Introduction to SQL on Flink
• Querying Dynamic Tables with SQL
• Joining Dynamic Tables
• Pattern Matching with MATCH_RECOGNIZE
• Ecosystem & Writing to External Tables

Prerequisites

No prior knowledge of Apache Flink is required. Basic knowledge of SQL is required.

You will need a notebook with at least 8 GB RAM and Docker installed. To save time during the event, we would also like you set up the training environment beforehand, i.e. to download all required Docker containers. We will send an email with detailed setup instructions about a week before the conference. 

Apache Flink supports SQL as a unified API for stream and batch processing. SQL can be used for a wide variety of use cases, and lead to solutions that are easier to build and maintain than applications built with Flink’s lower-level APIs. In this hands-on training you will learn how to fully leverage the potential of running SQL queries on data streams with Apache Flink. We will look at different use cases for streaming SQL, including enriching and joining streaming data, computing windowed aggregations, maintaining materialized views, and defining and matching patterns using the MATCH RECOGNIZE clause which is part of SQL since 2016.

Course Content

• Introduction to SQL on Flink
• Querying Dynamic Tables with SQL
• Joining Dynamic Tables
• Pattern Matching with MATCH_RECOGNIZE
• Ecosystem & Writing to External Tables

Prerequisites

No prior knowledge of Apache Flink is required. Basic knowledge of SQL is required.You will need a notebook with at least 8 GB RAM and Docker installed. To save time during the event, we would also like you set up the training environment beforehand, i.e. to download all required Docker containers. We will send an email with detailed setup instructions about a week before the conference.