After reviewing the sample databases to get a better understanding of what goes into a dimension table, Adam creates a new dimension for the KinetEco data warehouse.
- [Instructor] Now that we have a data warehouse database … created for KinetEco, it's time to start creating tables. … I'll start with a couple of dimension tables … and in the next movie, I'll create … a fact table to link them to. … Let's suppose that the fact table will be about orders, … two common dimensions or ways … that we might want to aggregate … and group our order data together, … is based off of the date that the orders were placed … and the customers that placed the order. … So I'm going to create a dimension table for dates, … and a second dimension table for customers, … before we do that though, it might be a good idea … to take a look and see how some of the example databases … handle these same types of dimensions. … Let's look in the WideWorldImporters Data Warehouse, … and find a table called Dimension.Customer. … I'll right-click on it and choose Select Top 1000 Rows. … This dimension has a Customer Key … that's the primary key for the table, … it also has a WWI Customer ID which will store …
Author
Released
10/23/2019- Transactional databases vs. data warehouses
- Star and snowflake schemas
- Creating a data warehouse
- Designing tables and views
- Rebuilding columnstore indexes
- Creating an Azure SQL Data Warehouse
- Establishing control flow beyond ETL
- Enforcing data quality
- Configuring Master Data Services
- Consuming data from the warehouse in BI services
Skill Level Intermediate
Duration
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Introduction
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Set up the example databases2m 32s
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1. Data Warehouse Foundations
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Data warehouse core concepts3m 58s
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Dimensions and facts5m 1s
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Star and snowflake schemas3m 50s
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Hardware and infrastructure2m 35s
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2. Create a Data Warehouse
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Design dimension tables5m 46s
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Design fact tables3m 33s
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Create an indexed view3m 28s
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3. Columnstore Indexes
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4. Implement an Azure SQL Data Warehouse
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5. Extract, Transform, and Load (ETL)
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Understand data flow3m 12s
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Establish control flow1m 54s
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6. Enforce Data Quality
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Cleanse data with DQS6m 48s
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7. Master Data Services
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Install MDS and IIS4m 37s
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Deploy a sample MDS model6m 35s
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Install the MDS Excel add-in2m 28s
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Update master data in Excel3m 40s
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8. Consume Data from the Warehouse
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Conclusion
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Next steps1m 3s
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Video: Design dimension tables