Databricks Certified Data Engineer Associate Exam Guide

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Databricks Data Engineer Associate Course with Practical Examples & Hands-On Training, Master Databricks Skills
Instructed by Vijay Gadhave 11 hours on-demand video, 1 article, 14 downloadable resources.

At 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, 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)
  • Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:
    • Jobs (scheduling, task orchestration, UI)
    • Dashboards (endpoints, scheduling, alerting, refreshing)
  • Understand and follow best security practices, including:
    • Unity Catalog (benefits and features)
    • Entity Permissions (team-based permissions, user-based permissions)

Who this course is for:

  • Anyone who wants to prepare for the Databricks Data Engineer Associate certification exam
  • Students who wants to peruse a career in Data Engineering
  • Professionals who wants to move from other technologies to Data Engineering
  • Anyone who wants to start learning Databricks

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