DATA ENGINEERING WITH DATABRICKS TRAINING COURSE
Data engineering with Databricks training course is Instructor-led and guided and is being delivered from for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.
Instructor-led and guided training
Practical Hands-On, Highly Interactive training
This course will be taught in English language
All Published Ticket Prices are in US Dollars
4 Weekends Data engineering with Databricks Training Schedule
October 24, 2020 - November 15, 2020 US Pacific time
4 Weekends | 2 hours on Saturdays, 2 hours on Sundays every weekend | US Pacific Time
8:30 AM - 10:30 AM US Pacific time each of those days
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
4 Weeks Data engineering with Databricks Training Course Schedule
October 26, 2020 - November 18, 2020 US Pacific time
16 Hours | 2 Hours on Mondays, 2 Hours on Wednesdays every week US Pacific time
6:30 PM - 8:30 PM US Pacific time each of those days
Please click here to add your city name and check your local date and time for the first session to be held on October 26, 2020 at 6:30 PM US Pacific Time.
16 Hours Data engineering with Databricks Training Course Schedule
October 29, 2020 - November 24, 2020 US Pacific time
16 Hours | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
7:30 AM - 9:30 AM US Pacific time each of those days
Please click here to add your city name and check your local date and time for the first session to be held on October 29, 2020 at 7:30 AM US Pacific Time.
Features and Benefits
16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided training
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands-on Lab exercises provided
Actual code and scripts provided
Learn best practices for using Databricks to build data pipelines
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.
Build an end-to-end batch and streaming OLAP data pipeline
Make data available for consumption by downstream stakeholders using specifiied design patterns
Apply Databricks' recommended best practices in engineering a single source of truth Delta architecture
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.
Intermediate to advanced programming skills in Python or Scala
Intermediate to advanced SQL skills
Beginning experience using the Spark DataFrames API
Beginning knowledge of general data engineering concepts
Beginning knowledge of the core features and use cases of Delta Lake
Who can take Data Engineering with Databricks Course?
Machine Learning Engineers
1. Review of programming with Spark APIs
2. Introduction to key terms and definitions of Databricks data engineering tools
3. Read and Write data with Databricks
4. Work with DataFrames in Databricks
5. Overview of DB Connect, the Spark UI, and writing testable code.
6. Learn about the Cloud Data Platform in terms of data architecture concepts
7. Build an end-to-end OLAP data pipeline using Delta Lake with batch and streaming data
8. Learn best practices
You save $100.00 (20%)