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KNIME Productionizing Data Apps

L3-DA

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In this course, we'll show you what you need to do to get your data app up and running, including: testing, deployment to KNIME Business Hub, permissions & versioning, custom styling, orchestration, and more.

The course includes sentiment analysis workflows that can be used for any type of text and a "Which country has this flag?" game implemented as a data app. In addition to learning about data applications in KNIME, by the end of the course you will have several workflows that you can customize to suit your needs.</p

In the first session of this course, you will learn what needs to be checked before deploying a data app on KNIME Business Hub. The second session will familiarize you with KNIME Business Hub - including how to upload workflows and deploy them as data apps or workflow schedules. In the third session, you will learn how to create interactive data applications that can be deployed to KNIME Business Hub and made available as web browser applications. Finally, in the fourth session, you will learn about runtime optimization, workflow orchestration and general best practices. In the fifth session, we will conclude with practice solutions.

Course Contents

  • What happens after the prototype is ready for deployment?
  • Introduction to KNIME Business Hub
  • Data Apps
  • Performance optimization, orchestration, error handling
  • Optional follow-up Q&A 

Please note: This course consists of four 75-minute online sessions conducted by a KNIME data scientist and/or a solution engineer. For each session there is an exercise that you can do at home. The solution will be discussed together at the beginning of the next session. On day 5, the course ends with a 15-30 minute closing session.

Request in-house training now

Target Group

You should be an advanced KNIME user.

Knowledge Prerequisites

You should already know how to create workflows and components with the KNIME Analytics Platform. Knowledge and experience equivalent to our advanced KNIME Analytics Platform courses (L2 level) is recommended.

You should already have the latest version of the KNIME Analytics Platform installed on your laptop, which you can download here: knime.com/downloads

Course Objective

In this course, you will learn how to prepare, automate, and scale KNIME workflows for productive use. You will acquire knowledge on how to integrate workflows into productive environments and ensure their maintainability. 

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.

In this course, we'll show you what you need to do to get your data app up and running, including: testing, deployment to KNIME Business Hub, permissions & versioning, custom styling, orchestration, and more.

The course includes sentiment analysis workflows that can be used for any type of text and a "Which country has this flag?" game implemented as a data app. In addition to learning about data applications in KNIME, by the end of the course you will have several workflows that you can customize to suit your needs.</p

In the first session of this course, you will learn what needs to be checked before deploying a data app on KNIME Business Hub. The second session will familiarize you with KNIME Business Hub - including how to upload workflows and deploy them as data apps or workflow schedules. In the third session, you will learn how to create interactive data applications that can be deployed to KNIME Business Hub and made available as web browser applications. Finally, in the fourth session, you will learn about runtime optimization, workflow orchestration and general best practices. In the fifth session, we will conclude with practice solutions.

Course Contents

  • What happens after the prototype is ready for deployment?
  • Introduction to KNIME Business Hub
  • Data Apps
  • Performance optimization, orchestration, error handling
  • Optional follow-up Q&A 

Please note: This course consists of four 75-minute online sessions conducted by a KNIME data scientist and/or a solution engineer. For each session there is an exercise that you can do at home. The solution will be discussed together at the beginning of the next session. On day 5, the course ends with a 15-30 minute closing session.

Request in-house training now

Target Group

You should be an advanced KNIME user.

Knowledge Prerequisites

You should already know how to create workflows and components with the KNIME Analytics Platform. Knowledge and experience equivalent to our advanced KNIME Analytics Platform courses (L2 level) is recommended.

You should already have the latest version of the KNIME Analytics Platform installed on your laptop, which you can download here: knime.com/downloads

Course Objective

In this course, you will learn how to prepare, automate, and scale KNIME workflows for productive use. You will acquire knowledge on how to integrate workflows into productive environments and ensure their maintainability. 

Online training

You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.

PDF SymbolYou can find the complete description of this course with dates and prices ready for download at as PDF.