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Questions and Answers
The multi hop architecture consists of four layers: bronze, silver, gold, and platinum.
False
The bronze table contains raw data ingested from various sources like json files and operational databases.
True
Incremental ETL means that data is extracted, transformed, and loaded all at once.
False
The silver table provides the most refined view of the data compared to the gold table.
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Multi hop architecture allows for configuring each stage as either a batch or streaming job.
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What is the primary purpose of a silver table in a multi hop architecture?
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What advantage does multi hop architecture provide in terms of data processing?
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Which statement best describes the bronze table in a multi hop architecture?
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What can the gold table in a multi hop architecture be primarily used for?
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In the context of multi hop architecture, what does the term incremental ETL refer to?
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Match the layers of the multi hop architecture with their descriptions:
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Match the terms with their definitions in the context of multi hop architecture:
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Match the data processing benefits with their explanations:
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Match the types of tables with their functions:
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Match the source types with their examples of use in the bronze table:
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Study Notes
Multi Hop Architecture in Lakehouse
- Multi hop architecture, also called Medallion architecture, organizes data in a multilayered structure.
- The structure aims to improve data quality and organization as it transitions through each layer of the architecture.
Layers of Multi Hop Architecture
-
Bronze Layer:
- Contains raw data ingested from various sources (e.g., JSON files, operational databases, Kafka Stream).
-
Silver Layer:
- Provides a more refined view of the data.
- Allows for data cleaning, filtering, and field joining from various bronze tables for enriching records.
-
Gold Layer:
- Offers business-level aggregations for analytics.
- Typically used for reporting, dashboarding, and machine learning applications.
Benefits of Multi Hop Architecture
- Features a straightforward data model that is easy to comprehend and implement.
- Supports incremental ETL (Extract, Transform, Load) processes, allowing for gradual data processing.
- Capable of integrating both streaming and batch workloads within a single pipeline.
- Each stage can be configured to operate as either a batch or streaming job.
- Enables recreation of tables from raw data at any point in time, enhancing flexibility in data management.
Multi Hop Architecture in Lakehouse
- Multi hop architecture, also called Medallion architecture, organizes data in a multilayered structure.
- The structure aims to improve data quality and organization as it transitions through each layer of the architecture.
Layers of Multi Hop Architecture
-
Bronze Layer:
- Contains raw data ingested from various sources (e.g., JSON files, operational databases, Kafka Stream).
-
Silver Layer:
- Provides a more refined view of the data.
- Allows for data cleaning, filtering, and field joining from various bronze tables for enriching records.
-
Gold Layer:
- Offers business-level aggregations for analytics.
- Typically used for reporting, dashboarding, and machine learning applications.
Benefits of Multi Hop Architecture
- Features a straightforward data model that is easy to comprehend and implement.
- Supports incremental ETL (Extract, Transform, Load) processes, allowing for gradual data processing.
- Capable of integrating both streaming and batch workloads within a single pipeline.
- Each stage can be configured to operate as either a batch or streaming job.
- Enables recreation of tables from raw data at any point in time, enhancing flexibility in data management.
Multi Hop Architecture in Lakehouse
- Multi hop architecture, also called Medallion architecture, organizes data in a multilayered structure.
- The structure aims to improve data quality and organization as it transitions through each layer of the architecture.
Layers of Multi Hop Architecture
-
Bronze Layer:
- Contains raw data ingested from various sources (e.g., JSON files, operational databases, Kafka Stream).
-
Silver Layer:
- Provides a more refined view of the data.
- Allows for data cleaning, filtering, and field joining from various bronze tables for enriching records.
-
Gold Layer:
- Offers business-level aggregations for analytics.
- Typically used for reporting, dashboarding, and machine learning applications.
Benefits of Multi Hop Architecture
- Features a straightforward data model that is easy to comprehend and implement.
- Supports incremental ETL (Extract, Transform, Load) processes, allowing for gradual data processing.
- Capable of integrating both streaming and batch workloads within a single pipeline.
- Each stage can be configured to operate as either a batch or streaming job.
- Enables recreation of tables from raw data at any point in time, enhancing flexibility in data management.
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Description
Explore the concept of multi hop architecture within Lakehouse frameworks in this video. You'll learn about the incremental multi hop pipeline and the significance of the bronze, silver, and gold table layers. This Medallion architecture is essential for enhancing data structure and quality incrementally.