Databricks and Spark
Analysts, Data Engineers
1 day
Databricks and Spark
The aim is to teach Databricks users the basics of Spark. This background knowledge helps when using Databricks to understand the consequences of direct interactions.
The training offers an ideal start to work on the basis of distributed systems. The content is partly derived from the b.telligent training “Apache Spark for Data Engineering” and relates to direct interaction with Databricks.
Thanks to the compact design within a day, the focus is on understanding the (open-source) concepts on which Databricks is based. The hands-on part of this training is limited to individual exercises.
Next Training
upon request
Location
Online
Duration
1 day
Costs
Starting at 495€
Information About the Training
- What is Apache Spark and what position does it occupy in the big data universe?
- Where is it used for which use cases?
- How Spark and Databricks work together
- Working with DataFrames
- Structured streaming
- safe use of SQL
- Programming experience in Python or Scala (see preliminary course Jump Start Python)
- What is Apache Spark and what position does it occupy in the big data universe?
- Where is it used for which use cases?
- How Spark and Databricks work together
- Working with DataFrames
- Structured streaming
- safe use of SQL
- Programming experience in Python or Scala (see preliminary course Jump Start Python)
Training sessions
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Meet Our Trainers
Stefan Seltmann
Management Consultant
Stefan is a graduate psychologist and consultant with a focus on data science & AI. He is an expert in machine learning based on various languages and technologies and is already successfully using Apache Spark in various projects with Python and Scala. As an experienced data science practitioner with more than 15 years of project experience, he knows the world of relational databases as well as big data technologies and is looking forward to making course participants want to use Apache Spark.
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