Course

[L4-BD] Introduction to Big Data with KNIME Analytics Platform

March 31, 2020 - Berlin

This course focuses on how to use KNIME Analytics Platform for in-database processing, predicting values with KNIME, and writing/loading data into a database. Get an introduction to the Apache Hadoop ecosystem and learn how to write/load data into Hadoop. Learn about the KNIME Spark Executor, preprocessing with Spark, machine learning with Spark, and how to export data back into KNIME/Hadoop. This course lets you put everything you’ve learnt into practice in a hands-on session based on the use case: Eliminating missing values by predicting their values based on other attributes.

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FAQ
What level of KNIME experience is needed for this course?

You should be an advanced KNIME user and ideally have already built some workflows. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more managing big data with KNIME Analytics Platform.

What do I need to bring?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started on working big data in KNIME?