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Data Lakehouse Platform Fundamentals Quiz

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Data Lakehouse Platform Fundamentals Quiz

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Questions and Answers

True or false: Data warehouses are used solely for structured data.

False

What is the main purpose of the data lakehouse platform?

To provide a layer of compute, data warehousing management, and AI/Analytics over cloud storage (correct)

To bridge the gap between a data lake and a data warehouse

To store vast amounts of data collected daily

To create a new data warehouse and run reports

True or false: MLOps is based on open source ML Flow with no contributions from databricks.

False

True or false: A data lakehouse provides an integrated platform to bridge the gap between a data lake and a data warehouse.

True Signup and view all the answers

What is the main challenge that the data lakehouse platform tries to address?

Keeping data warehouses in sync with the system of record in the data lakes Signup and view all the answers

True or false: The Photon Engine is written using Java.

False Signup and view all the answers

What is the difference between a data warehouse and a data lake?

Data warehouses are used for Business Intelligence workloads while data lakes are used to store vast amounts of data Signup and view all the answers

True or false: Delta Lake enables ACID transactional features for Streaming and batch data processing.

True Signup and view all the answers

True or false: Data lakes and data warehouses can remain in sync with each other without the use of a data lakehouse.

False Signup and view all the answers

Study Notes

Cloud storage is ubiquitous and the standards and protocols for its use are well-defined.
Adding a compute, data warehousing management layer, and AI/Analytics over cloud storage is what Databricks does with their data lakehouse platform.
The volume of data that emerged in the last decade forced technologies and enterprises to develop newer strategies. This is how the lakehouse took shape.
A gap exists between a data lake and a data warehouse in how they are addressed from a technology and platform perspective.
Data warehouses are used for structured data to drive Business Intelligence workloads. Then you have vast amounts of data that an organization collects daily and is stored in the data lakes.
When somebody wants to take data and do Business Intelligence, they copy a subset of that data, create a new data warehouse, and run those reports.
But what happens is sometimes the data warehouse gets updated and runs out of sync with the system of record in the data lakes. So this is one of the challenges that create a drift in data within an organization that data lakehouse tries to address.

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Description

Test your knowledge on the fundamentals of data lakehouse platforms, their role in addressing data management challenges, and their integration with cloud storage and data warehousing. This quiz explores the concepts of data lakes, data warehouses, and the emergence of the lakehouse approach to data management.