The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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The Lifecycle of a Data Warehouse
Manage episode 396524989 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
This story was originally published on HackerNoon at: https://hackernoon.com/the-lifecycle-of-a-data-warehouse.
We're about to embark on the fascinating journey of building a data warehouse, guided by our adept Data Architect.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-warehouse, #business-intelligence, #databases, #cloud-storage, #etl, #olap, #database-management, #relational-database, and more.
This story was written by: @ishaanraj. Learn more about this writer by checking @ishaanraj's about page, and for more stories, please visit hackernoon.com.
A data warehouse, optimized for OLAP (Online Analytical Processing), is a centralized repository for structured and processed data. Unlike traditional OLTP (Online Transaction Processing) systems, it's designed for efficient querying and reporting. The use of columnar storage in data warehouses allows for quicker data retrieval, especially beneficial for analytical queries.
126 episodes
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Manage episode 396524989 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
This story was originally published on HackerNoon at: https://hackernoon.com/the-lifecycle-of-a-data-warehouse.
We're about to embark on the fascinating journey of building a data warehouse, guided by our adept Data Architect.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-warehouse, #business-intelligence, #databases, #cloud-storage, #etl, #olap, #database-management, #relational-database, and more.
This story was written by: @ishaanraj. Learn more about this writer by checking @ishaanraj's about page, and for more stories, please visit hackernoon.com.
A data warehouse, optimized for OLAP (Online Analytical Processing), is a centralized repository for structured and processed data. Unlike traditional OLTP (Online Transaction Processing) systems, it's designed for efficient querying and reporting. The use of columnar storage in data warehouses allows for quicker data retrieval, especially beneficial for analytical queries.
126 episodes
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Similar to Data Science Tech Brief By HackerNoon
The Official AWS Podcast is a podcast for developers and IT professionals looking for the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Hawn Nguyen-Loughren for regular updates, deep dives, launches, and interviews. Whether you’re training machine learning models, developing open source projects, or building cloud solutions, the Official AWS Podcast has something for you.
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