4 Weekends Databricks Data Engineering Training course Berlin

Tech Training Solutions

4 Weekends Data engineering with Databricks Training is being delivered  from October 24, 2020 - November 15, 2020 US Pacific time.

IT Training Center

<p><a href="https://techtraining.solutions/training-products/ols/products/data-engineering-with-databricks-training-course" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">This event has been UPDATED since it was first published. View the UPDATED &amp; Detailed Data engineering with Databricks Training course for beginners Information here.</a></p><p>4 Weekends Data engineering with Databricks Training is being delivered  from October 24, 2020 - November 15, 2020 US Pacific time for 16 hours over  4 weekends, 8 sessions, 2 sessions per week, 2 hours per session.</p><ul><li>The medium of instruction is English</li><li>All Published Ticket Prices are in US Dollars.</li><p></p></ul><h3>4 Weekends Data engineering with Databricks Training Schedule</h3><ul><li>October 24, 2020 - November 15, 2020 US Pacific time</li><li>4 Weekends | 2 hours on Saturdays, 2 hours on Sundays every weekend | US Pacific Time</li><li>8:30 AM - 10:30 AM US Pacific time each of those days</li><li><a href="https://www.timeanddate.com/worldclock/converter.html?iso=20201024T153000&amp;p1=234" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Please click here to add your location and find your local date and time for the 1st session to be held on October 24, 2020 at 8:30 AM US Pacific Time</a></li></ul><h3></h3><h3>Course Overview</h3><ul><li>Learn best practices for using Databricks to build data pipelines</li><li>Knowledge and skills that a data engineer would need to build an end-to-end Delta Lake pipeline for streaming and batch data, from raw data ingestion to consumption by end users.</li></ul><p></p><h3>Course Objectives</h3><ul><li>Build an end-to-end batch and streaming OLAP data pipeline</li><li>Make data available for consumption by downstream stakeholders using specifiied design patterns</li><li>Apply Databricks&#x27; recommended best practices in engineering a single source of truth Delta architecture</li></ul><p></p><h3>Prerequisites</h3><p>If you do not have any of these prerequisite skills we will be happy to teach you these skills for additional cost before you take Data Engineering with Databricks training course.</p><ul><li>Intermediate to advanced programming skills in Python or Scala</li><li>Intermediate to advanced SQL skills</li><li>Beginning experience using the Spark DataFrames API</li><li>Beginning knowledge of general data engineering concepts</li><li>Beginning knowledge of the core features and use cases of Delta Lake</li></ul><p> </p><h3>Who can take Data Engineering with Databricks Course?</h3><ul><li>Data Engineers</li><li>Machine Learning Engineers</li></ul><p></p><h3>Course Outline</h3><p>1. Review of programming with Spark APIs</p><p>2. Introduction to key terms and definitions of Databricks data engineering tools</p><p>3. Read and Write data with Databricks</p><p>4. Work with DataFrames in Databricks</p><p>5. Overview of DB Connect, the Spark UI, and writing testable code. </p><p>6. Learn about the Cloud Data Platform in terms of data architecture concepts</p><p>7. Build an end-to-end OLAP data pipeline using Delta Lake with batch and streaming data </p><p>8. Learn best practices</p><p></p>

4 Weekends Databricks Data Engineering Training course Berlin

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4 Weekends Databricks Data Engineering Training course Berlin

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