Course Description
This 3-day Databricks training course will offer delegates a hands-on introduction to Databricks and may be used as an initial primer for the Databricks Certified Associate Developer exam.
For those delegates wishing to move on to the exam and certification the course will offer suggestions regards additional study resources & test papers + recommended competencies around Python, SQL & the logic of distributed computing.
This Databricks fundamentals class assumes a familiarity with Python and/or programming concepts and a basic knowledge of SQL & SQL queries.
The target audience typically Data Engineers, Analysts, Scientists, DevOps Engineers, Cloud & Solution Architects and AI/ML resource.
So validate your data and Artificial Intelligence skills in the Databricks Lakehouse Platform by getting certified today! Whether you are new to business intelligence or looking to confirm your skills as a data engineering or machine learning professional, our certified Databricks training team can help you achieve your goals.
Course Summary
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Course Modules
- What is Databricks? Why we use it for Spark applications
- What is Apache Spark and where it is now in terms of usage in the Data and AI
- Fundamental and Advance Spark dataframe functions
- UDFs – New way of using predefine functions
Labs
- Going through the Databricks UI
- How to create compute/cluster and what are things to consider while doing
- How to use Spark functions to analyse the given data set
- Managing data/table access for users
Testimonials
“Our training was great! The trainer really knew a lot about the Informatica Platform from Data Integration, Data Quality and Data Governance perspective.”
- Patrick White, IoT Manager, Orbus Software
“Great Tableau Course. Lots of information packed into short period.”
- Matt, Data Analyst, Fortune Brands
“The course was comprehensive and interactive, and the trainer really understood the content. I have been able to implement much of what I learned into my daily work activities and have saved a lot of time.”
- Susan Medina, Senior Business Analyst, Advocate Health Care
