Databricks Certified Data Engineer Associate Complete Guide
Databricks Certified Data Engineer Associate Full Exam Prep 2023 Version 3 | Databricks Exam Prep | Databricks Certified
Created by Henry Habib | 8 hours on-demand video course
Are you ready to take Data Engineering to the next level? Are you looking for a course to help you master data engineering with Databricks, or perhaps a guide to help you pass your upcoming Databricks Certified Data Engineer Associate exam? Look no further!
Join the Databricks revolution, where the world of data analytics and warehousing is being reshaped like never before. Our curriculum is meticulously designed to cover all aspects of the Databricks Certified Data Engineer Associate exam, including data ingestion, data transformation, ETL processes, data modeling, and more. Discover how to optimize data pipelines and extract valuable insights from massive amounts of data.
Learn from over 8 hours of instructional video and practical samples created by a seasoned data engineering professional with real-world experience and a the Databricks Engineer Associate certification. Take advantage of their practical insights, best practices, and invaluable guidance as they guide you through the course.
What you’ll learn
- Pass the Databricks Data Engineer Associate exam
- Understand and apply the concepts and topics covered in the Databricks Certified Data Engineer Associate certification.
- Gain a comprehensive understanding of Databricks as a Lakehouse platform and the benefits and advantage it provides.
- Discover the significance of Delta Lake in data engineering and its role in managing data.
- Develop your skills in Databricks data engineering tasks such as data ingestion, transformation and integration.
- Navigate and use the Databricks UI effectively, enabling efficient workflow and task execution.
- Explore how to effectively use the Unity Catalog to manage and organize data in Databricks.
- Create and configure a Databricks account, providing access to the platform’s powerful data engineering capabilities.
- Learn how to setup and manage Databricks clusters to optimize data processing and utilize
- Databricks notebooks for data analysis and exploration.
- Understand key Delta Lake concepts such as schemas, tables, optimization and efficiently loading data.
- Gain data engineering techniques such as querying, data extraction and cleaning, and complex transformations within the Databricks environment.
- Explore Databricks advanced features such as structured streaming, Delta Live Tables, and SQL warehousing to enhance data processing and analysis capabilities.