26 Questions
What is the primary purpose of the medallion lakehouse architecture?
To create a single source of truth for enterprise data products
What is the key characteristic of the bronze layer in the medallion architecture?
It maintains the raw state of the data source
What is the benefit of adopting an organizational mindset focused on curating data-as-products?
It enables the creation and maintenance of validated datasets
What is the outcome of data passing through multiple layers of validations and transformations in the medallion architecture?
Data is stored in a layout optimized for efficient analytics
What is the purpose of the silver layer in the medallion architecture?
To validate and deduplicate data
What is the primary advantage of using the medallion architecture?
It ensures data quality and consistency throughout the data processing pipeline
What is a characteristic of data in the silver layer?
It is validated and enriched.
What is the purpose of the gold layer?
To power analytics, machine learning, and production applications.
What is a benefit of implementing a silver layer?
It immediately unlocks many of the potential benefits of the lakehouse.
What is a characteristic of gold tables?
They contain data that has been transformed into knowledge.
Why are gold tables often stored in a separate storage container?
To avoid cloud limits on data requests.
What is a benefit of using gold tables?
They provide low-latency query performance.
Match the following layers of the medallion lakehouse architecture with their data quality:
Bronze layer = Raw, unvalidated data Silver layer = Validated data Gold layer = Enriched data Data source = Original, unprocessed data
Match the following characteristics with the respective layers of the medallion lakehouse architecture:
Maintains the raw state of the data source = Bronze layer Contains validated data = Silver layer Optimized for efficient analytics = Gold layer Transformed data = Silver layer
Match the following data layers of the medallion lakehouse architecture with their primary uses:
Bronze layer = Data ingestion Silver layer = Data validation and deduplication Gold layer = Powering analytics Data source = Original data collection
Match the following characteristics with the respective layers of the medallion lakehouse architecture:
Unprocessed data = Bronze layer Transformed and validated data = Silver layer Optimized data for analytics = Gold layer Original data source = Data source
Match the following layers of the medallion lakehouse architecture with their primary data characteristics:
Bronze layer = Unvalidated data Silver layer = Deduplicated data Gold layer = Enriched data Data source = Original data
Match the following benefits with the respective layers of the medallion lakehouse architecture:
Provides raw data for analysis = Bronze layer Offers validated data for analytics = Silver layer Delivers enriched data for advanced analytics = Gold layer Offers original data source = Data source
Match the following characteristics with their corresponding layers in the medallion architecture:
Nearly raw state = Bronze layer Validated, enriched version = Silver layer Highly refined and aggregated = Gold layer Efficient storage format = Bronze layer
Match the following benefits with their corresponding layers in the medallion architecture:
Unlocking many potential benefits = Silver layer Powers analytics, machine learning, and production applications = Gold layer Enhanced discoverability = Bronze layer Efficient storage and retrieval = Silver layer
Match the following descriptions with their corresponding layers in the medallion architecture:
Contains the entire data history = Bronze layer Represents data that has been transformed into knowledge = Gold layer Provides the ability to recreate any state of a given data system = Bronze layer Contains data that can be trusted for downstream analytics = Silver layer
Match the following functionalities with their corresponding layers in the medallion architecture:
Retaining the full, unprocessed history of each dataset = Bronze layer Validating and deduplicating data = Silver layer Handling aggregations, joins, and filtering = Gold layer Supporting low latency query performance = Gold layer
Match the following characteristics with their corresponding layers in the medallion architecture:
Grows over time and is appended incrementally = Bronze layer Contains data that can be trusted for downstream analytics = Silver layer Is often stored in a separate storage container = Gold layer Provides the ability to recreate any state of a given data system = Bronze layer
Match the following benefits with their corresponding layers in the medallion architecture:
Allows for control costs and establishes SLAs for data freshness = Gold layer Provides enhanced discoverability = Bronze layer Unlocks many potential benefits of the lakehouse = Silver layer Supports low latency query performance = Gold layer
Match the following characteristics with their corresponding layers in the medallion architecture:
May contain more than one table = Silver layer Contains data that has been transformed into knowledge = Gold layer Retains the full, unprocessed history of each dataset = Bronze layer Is often used for core responsibilities and sharing with customers = Gold layer
Match the following functionalities with their corresponding layers in the medallion architecture:
Adds additional metadata on ingest = Bronze layer Validates and deduplicates data = Silver layer Powers analytics, machine learning, and production applications = Gold layer Handles aggregations, joins, and filtering = Gold layer
Study Notes
Medallion Lakehouse Architecture
- A series of data layers that denote the quality of data stored in the lakehouse, recommended by Databricks
- Ensures atomicity, consistency, isolation, and durability as data passes through multiple layers of validations and transformations
Bronze Layer (Raw)
- Contains unvalidated data
- Data ingested is:
- Maintained in its raw state
- Appended incrementally and grows over time
- A combination of streaming and batch transactions
- Additional metadata may be added for enhanced discoverability, description of the state of the source dataset, and optimized performance in downstream applications
Silver Layer (Validated)
- Represents validated, enriched data that can be trusted for downstream analytics
- Data is:
- Validated and deduplicated
- May contain more than one table
- Implementing a silver layer efficiently unlocks many benefits of the lakehouse
Gold Layer (Enriched)
- Contains highly refined and aggregated data that powers analytics, machine learning, and production applications
- Data is:
- Transformed into knowledge, rather than just information
- Often stored in a separate storage container to help avoid cloud limits on data requests
- Updates are completed as part of regularly scheduled production workloads, controlling costs and allowing for SLAs for data freshness
- Analysts largely rely on gold tables for their core responsibilities, and data shared with customers would rarely be stored outside this level
url: <a href="https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion">https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion</a> Learn about the medallion lakehouse architecture, a multi-layered approach to building a single source of truth for enterprise data products. Understand the bronze, silver, and gold layers and their roles in data processing.
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