![[L4-DE] Best Practices for Data Engineering - Online](/sites/default/files/styles/1024w/public/2023-09/knime-best-practices-data-engineering.jpg?itok=Anx2HgXb "[L4-DE] Best Practices for Data Engineering - Online")
This course focuses on how to use KNIME Analytics Platform for data engineering and how to apply best practices when building data processing pipelines.
Learn the concepts behind connecting to multiple data sources, the methods for data anonymization, and advanced database topics. Be introduced to the Apache Hadoop ecosystem and find out how to handle big data with the Apache Spark integration. Finally, learn how to build and orchestrate modular workflows.
Put your knowledge into practice with hands-on exercises to build and orchestrate two applications: first, extract, validate, transform, blend, anonymize, and load the customer data to a database; second, use Spark to access, impute missing values, and aggregate the website usage data.
This is an instructor-led course consisting of four, 75-minute online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15 to 30 minute wrap up session.
Course Content
- Session 1: Introduction & technical setup, ETL, Connectors & Data access
Session 2: ETL, Data anonymization, Databases
Session 3: ELT, Big Data, Hadoop, Spark
Session 4: Cloud and Big Data connectivity, Orchestration
Session 5: Q&A
FAQ
This course doesn’t provide a detailed introduction to KNIME Analytics Platform. You should be competent in using KNIME Analytics Platform. We expect that you have already built KNIME workflows and are aware of the workflow control concepts such as flow variables, loops, switches, and error handling. We recommend taking this course after obtaining the L1 and L2 KNIME proficiency or equivalent.
You first need to create an account on the KNIME Learning Store. After you log on to the KNIME Learning Store, clicking on the “Register now” button will take you to the course web page.
You can join the course using the Zoom links found in your LearnUpon course page. You will also receive an email with the Zoom link one day prior to each session. Please note that each Zoom link is specific to a particular session. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for one month starting from the time the session is over.
Absolutely - fire away!
Your own laptop, pre-installed with the latest version of KNIME Analytics Platform. In order to complete the exercises, you would need to install a local instance of a PostgreSQL database. We will provide the details in the “Getting ready” page on LearnUpon.
Download the latest free, open source version of KNIME Analytics Platform here: knime.com/downloads
Check out our Self-paced courses, KNIME Books, Cheat Sheets, KNIME Forum, and KNIME Hub
You will be granted temporary access to KNIME Business Hub during this course to work on exercises. The credential to access KNIME Business Hub will be given to you on the first day of the course. You do not need to use your organization’s KNIME Business Hub for this course.
![[L1-DW] KNIME Analytics Platform for Data Wranglers: Basics - Online](/sites/default/files/styles/295x205/public/2020-07/German%402x.png?itok=dLLvfjuW "[L1-DW] KNIME Analytics Platform for Data Wranglers: Basics - Online")
