Ace your data engineering interviews with 200 realistic questions on Delta Lake, Snowpipe, and Spark Architecture.
Sub Category
- IT Certifications
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Objectives
- Differentiate between traditional Data Lakes and modern Data Lakehouse architectures utilizing Databricks Delta Lake.
- Master Snowflake’s unique multi-cluster shared data architecture, understanding the separation of storage and compute.
- Architect continuous data ingestion pipelines using Snowflake Snowpipe and Databricks Structured Streaming mechanisms.
- Optimize massive datasets for querying performance by applying Delta Lake OPTIMIZE commands and Snowflake Micro-partitions.
Pre Requisites
- A foundational understanding of SQL and basic Python. Familiarity with general cloud computing concepts (like AWS S3 or Azure Blob Storage) is highly recommended, as modern data engineering relies heavily on object storage.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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