Azure Databricks and Spark SQL (Python)
Azure Databricks and Spark SQL (Python)
Master Azure Databricks with PySpark: Your Hands-On Guide to Advanced Data Engineering and Analysis (DP203)
Created by Malvik Vaghadia | 12.5 hours on-demand video course
Databricks is one of the most in demand big data tools around. It is a fast, easy, and collaborative Spark based big data analytics service designed for data science, ML and data engineering workflows. The Azure Databricks and Spark SQL (Python) course is packed with lectures, code-along videos and dedicated challenge sections. This should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures… and I have provided detailed notebooks as a downloadable asset, the notebooks will contain step by step documentation with additional resources and links.
I have ensured that the delivery of the course is engaging and concise, the curriculum is extensive yet delivered in an efficient way. The Azure Databricks and Spark SQL (Python) course will provide you with hands-on training utilising a variety of different data sets. The course is aimed at teaching you PySpark, Spark SQL in Python and the Databricks Lakehouse Architecture.
What you’ll learn
- Azure Databricks
- Data Lakehouse
- Delta Lake
- Spark SQL
- PySpark
- Big Data
- Real World Scenarios
- CI/CD on Databricks
- Source Control with Databricks Repos
Recommended Course
Prophecy for Data Engineering: self-service Spark
Azure Databricks & Spark For Data Engineers (PySpark / SQL)
Databricks Certified Data Engineer Associate – Preparation
Data Engineering Essentials using SQL, Python, and PySpark
Who this course is for:
- Anyone interested in working with Big Data and Spark
- Anyone interested in working with Databricks
- Anyone interested in working with cloud platforms
- Aspiring Azure Data Engineers
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