Databricks Certified Data Engineer Associate Exam Prep 2023
Databricks Certified Data Engineer Associate Exam Prep 2023 Course
Databricks Certified Data Engineer Associate 2023 V3 Exam Guide | Databricks | Databricks Data Engineer Bootcamp
This Databricks Certified Data Engineer Associate Exam Prep 2023 Course is designed to help you pass the Databricks Data Engineer Associate exam. The course is created by Henry Habib and has a rating of 4.0 out of 5 from 1,000 ratings. The course is 1,000 students strong and is offered in English.
The Databricks Certified Data Engineer Associate Course provides a comprehensive understanding of Databricks as a Lakehouse platform and the benefits and advantage it provides. You will learn and apply the concepts and topics covered in the Databricks Certified Data Engineer Associate certification.
The Databricks Certified Data Engineer Associate Course covers all the fundamentals and advanced topics of Snowflake. It provides a professional-quality understanding of Snowflake and the entire Snowflake workflow from end-to-end. You will learn how to master all the important features of Snowflake, know when and how to use them properly, and apply your knowledge in assignments and quizzes hands-on.
The Databricks Certified Data Engineer Associate Exam Prep Course provides clear explanations and a very systematic approach, with theory and practice combined. You will learn about Snowflake’s architecture including storage concepts in the storage layer, warehouses in the compute layer, and the global services layer. You will also get an in-depth look at the Snowsight UI and the classic console and a comparison of their features. You will learn about Snowflake’s broad set of objects including Organizations, Accounts, Databases, Schemas, Tables, Views, User-define functions (UDFs), and much more.
The Databricks Certified Data Engineer Associate Exam Prep Course provides an overview of high-level programmatic data processing with the Snowpark API. You will learn about Snowflake security features including Network Policies, Multi-Factor Authentication (MFA), Federated Authentication, and Single Sign-On (SSO). You will also learn about the access control schemes Snowflake use including Role Based Access Control (RBAC) and Discretionary Access Control (DAC). You will learn about the ways you can monitor and track usage within organizations, accounts, and tables programmatically and through the UI. You will learn to optimize query performance using the Query Profile tool, Materialized Views, Clustering, the Search Optimization Service, and tuning SQL code. You will learn how to load and unload data into Snowflake. Covering bulk data loading with the COPY INTO statement and continuous data loading with Snowpipe. You will also learn how to work with structured, semi-structured, and unstructured data. Finally, you will learn about Snowflake data protection features such as Time Travel, Fail-safe, Data Encryption, Cloning, and Replication. You will also learn how to share data between Snowflake accounts with Secure Data Sharing, the Data Marketplace, and the Data Exchange.
The Databricks Certified Data Engineer Associate Course requires basic knowledge of SQL syntax such as selecting, inserting, and dropping data. Any SQL concepts specific to Snowflake will be explained thoroughly during the course. Understanding the basics of cloud computing will help but is not needed to complete this course.
What you’ll learn in Databricks Certified Data Engineer Associate Exam Prep 2023 Course
- 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.
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