Databricks Certified Data Engineer Associate - Preparation

What you'll learn
Understand how to use Databricks Lakehouse Platform and its tools
Build ETL pipelines using Apache Spark SQL and Python
Process data incrementally in batch and streaming mode
Orchestrate production pipelines
Understand and follow best security practices in Databricks
Requirements
Basic SQL knowledge will be required
Basic Python programming experience will be beneficial, but not necessary
Description
If you are interested in becoming a Certified Data Engineer Associate from Databricks, you have come to the right place! I am here to helping you with preparing for this certification exam.
By the end of this course, you should be able to
Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including
Data Lakehouse (architecture, descriptions, benefits)
Data Science and Engineering workspace (clusters, notebooks, data storage)
Delta Lake (general concepts, table management and manipulation, optimizations)
Build ETL pipelines using Apache Spark SQL and Python, including
Relational entities (databases, tables, views)
ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)
Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)
Incrementally process data, including
Structured Streaming (general concepts, triggers, watermarks)
Auto Loader (streaming reads)
Multi-hop Architecture (bronze-silver-gold, streaming applications)
Delta Live Tables (benefits and features)
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