A data warehouse is a storage system optimised for storing structured data to perform the high-speed SQL queries needed to deliver timely business intelligence (BI). From processing high-speed transactions to predictive analytics, data warehouses have a decades-long history as the de facto storage standard used by enterprises to power their BI.
Benefits of data warehouses include:
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The logistics of collecting data from different parts of your business to extract useful information can scale in complexity as your business grows. Data warehouses can give your business a reliable way to consolidate that information into a single database and data model to allow analysts to run their queries.
Here’s how it works:
The database you interact with in a data warehouse is relational, meaning data is structured—stored in tables consisting of columns and rows. These tables are organized by schema that were defined during the write.
When the transformation step is handled by an ODS that is external to the data warehouse, it’s called ETL (Extract, Transform, Load). When the data warehouse handles the transformations internally, it’s called ELT (Extract, Load, Transform). Whether you use ETL or ELT, data warehouses require structured data, and schema on write, to work with relational databases.
Common applications of data warehouses include:
Because data warehouses are schema on write, it’s important to know what type of queries you wish to perform before adding schema to a data warehouse. To manage the complexity of disparate data sources, a data warehouse may be segmented into data marts to dedicate hardware and software resources to specific business functions like CRM.
While these three concepts may sound interchangeable, it’s important to understand their differences:
Data hubs provide the data governance needed to streamline data sharing between a diverse collection of endpoints. In this way, data hubs consolidate data lakes and data warehouses into a single access layer. Data processing is abstracted away behind the data hub, giving your organisation a centralized place to extract BI insights.
If you need to add a new OLAP or OLTP pipeline to your existing data warehouse infrastructure, it may be time to consider investing in a more Modern Data Experience™ with Pure Storage’s all-flash storage solutions.
As the industry’s first data hub, Pure Storage® FlashBlade® can not only handle the analytics and reporting workloads of a data warehouse but also deliver on the essential qualities of a data hub:
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