Data warehouse table design

  • Data warehouse tools

    A database stores the current data required to power an application.
    A data warehouse stores current and historical data from one or more systems in a predefined and fixed schema, which allows business analysts and data scientists to easily analyze the data..

  • How do you create a table in data warehouse?

    In tables, data is logically organized in a row-and-column format.
    Each row represents a unique record, and each column represents a field in the record.
    In Warehouse, tables are database objects that contain all the transactional data..

  • How do you design data warehouse?

    Database design is the organization of data according to a database model.
    The designer determines what data must be stored and how the data elements interrelate.
    With this information, they can begin to fit the data to the database model.
    A database management system manages the data accordingly..

  • Tools for data warehousing

    Database design is the organization of data according to a database model.
    The designer determines what data must be stored and how the data elements interrelate.
    With this information, they can begin to fit the data to the database model.
    A database management system manages the data accordingly..

  • What is a data warehousing design?

    Data warehouse design is the process of defining how the interdependent systems and processes involved in data warehousing will be implemented to align business needs and functional requirements.Jun 1, 2022.

  • What kind of tables are in a data warehouse?

    Determine table category

    Fact tables contain quantitative data that are commonly generated in a transactional system, and then loaded into the data warehouse. Dimension tables contain attribute data that might change but usually changes infrequently. Integration tables provide a place for integrating or staging data..

Apr 28, 2021Fact and Dimension tables are the main two tables that are used when designing a data warehouse. The fact table contains measures of columns and 

Overview

This article provides key introductory concepts for designing tables in dedicated SQL pool

Determine table category

A star schema organizes data into fact and dimension tables

Schema and table names

Schemas are a good way to group tables, used in a similar fashion, together

Table persistence

Regular table A regular table stores data in Azure Storage as part of dedicated SQL pool

Data types

Dedicated SQL pool supports the most commonly used data types. For a list of the supported data types

Distributed tables

Hash-distributed tables A hash distributed table distributes rows based on the value in the distribution column

Table partitions

A partitioned table stores and performs operations on the table rows according to data ranges. For example, a table could be partitioned by day

Columnstore indexes

By default, dedicated SQL pool stores a table as a clustered columnstore index

Statistics

The query optimizer uses column-level statistics when it creates the plan for executing a query

Primary key and unique key

PRIMARY KEY is only supported when NONCLUSTERED and NOT ENFORCED are both used

How to build a data warehouse?

Data Modeling: Design the data warehouse schema, including the fact tables and dimension tables, to support the business requirements

Develop Your ETL Process: ETL stands for Extract, Transform, and Load

This process is how data gets moved from its source into your warehouse

What are fact and dimension tables in a data warehouse?

Fact and Dimension tables are the main two tables that are used when designing a data warehouse

The fact table contains measures of columns and surrogate keys that link to the dimension tables

Measure columns are the values that you store in order to measure the business fact


Categories

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Data warehouse tabular model
Data warehouse tasks
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Data warehouse table architecture
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Data warehouse value proposition
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Data warehouse data vault 2.0
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Data warehouse business value