Podcast
Questions and Answers
True or false: Delta Lake provides ACID transactional features to handle streaming and batch data processing?
True or false: Delta Lake provides ACID transactional features to handle streaming and batch data processing?
True (A)
What is the purpose of the Unity Catalog?
What is the purpose of the Unity Catalog?
- To facilitate AI and ML model DevOps lifecycle
- To provide capabilities to secure data assets and govern data access (correct)
- To add ACID transactional features and scalable metadata
- To handle Streaming and batch data processing
True or false: The Unity Catalog is used to secure data assets and govern data access?
True or false: The Unity Catalog is used to secure data assets and govern data access?
True (A)
Which of the following is true about the Lakehouse platform?
Which of the following is true about the Lakehouse platform?
True or false: Photon Engine is written in Python?
True or false: Photon Engine is written in Python?
Who is the major contributor to Apache Spark?
Who is the major contributor to Apache Spark?
Flashcards
Delta Lake ACID features
Delta Lake ACID features
Delta Lake supports transactional properties (Atomicity, Consistency, Isolation, Durability) for both streaming and batch data processing.
Unity Catalog purpose
Unity Catalog purpose
Unity Catalog provides data security and governance for data assets.
Lakehouse platform base
Lakehouse platform base
Lakehouse architecture relies on Apache Spark and Delta Lake.
Photon Engine language
Photon Engine language
Signup and view all the flashcards
Apache Spark major contributor
Apache Spark major contributor
Signup and view all the flashcards
Data security & governance
Data security & governance
Signup and view all the flashcards
Study Notes
- Databricks is the promoter and major contributor to Apache Spark, and they built a cloud-native service, enhancing its capabilities over time.
- The Lakehouse platform is based on Apache Spark and Delta Lake.
- Delta Lake provides ways to add ACID transactional features and scalable metadata to handle Streaming and batch data processing.
- Photon Engine is a query processing engine suitable for Adhoc, data engineering, and other range of workloads and written using C++ with built-in efficiencies.
- MLOps facilitated AI and ML model DevOps lifecycle and built using open source ML Flow with major contributions from databricks.
- The Unity Catalog provides capabilities to secure data assets and govern data access.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Test your knowledge about Databricks, Apache Spark, Delta Lake, Photon Engine, MLOps, and Unity Catalog with this quiz covering their features and capabilities.