- Introduction of the speaker
- Aim of the webinar
Description
In this webinar, we will give you a comprehensive overview of the possible applications of Databricks in the area of data warehousing and ETL. We will show you how you can not only save development time with Databricks, but also optimize the performance of your data pipelines. In addition to the features for classic batch ETL processing, we will also briefly discuss streaming and analytics/ML use cases. We are aimed at developers who want to delve deeper into the technology as well as decision-makers, managers and team leaders who are faced with the choice of a suitable technology.
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Experts
Dr. Alexander Fulst
Senior Consultant
Agenda
Welcome and introduction
Databricks as a unified analytics platform
- Overview of DatabricksData engineering with DatabricksData analytics and ML with DatabricksIntegration with other services
Spark as a driver of ETL processes
- Overview of SparkPySpark as a simple interface for high-performance transformations
Best practices and practical examples
- Modular ETL processes
- Performance optimization
Summary
Q&A
Basic information
Prerequisites
Basic knowledge of Python and / or Spark is helpful, but not required
Method
Online Webinar
Target audience
Developers with little or no experience in Spark and decision-makers who are considering a cloud DWH for analytics use cases.
Languages
German
