Data warehouses are designed to provide an overview of business data over time by aggregating massive amounts of current and historical data into a single repository. Data warehouses also add value to the operations of applications by optimizing and transforming data for analytical purposes. They are, therefore, the primary source for business analytics and enterprise intelligence.

Online data warehouses are cloud-based and deliver faster, better insights to business users. Businesses can utilize them to connect data sources and applications without the need of IT intervention or manual configuration.

The most reliable online data stores can handle a wide variety of kinds of data and usage cases. Some are suited for the analysis of unstructured information like videos and text. They work best when working with structured data, which is arranged in a particular way (e.g. tables).

Modern data warehouses allow users to define relationships among their data sets and tables. This lets you explore, share and dataroomtechs.info collaborate with colleagues on data in a safe, controlled environment.

The largest data warehouse online vendors are Amazon Web Services (AWS) Redshift and Snowflake, Google Cloud Platform’s BigQuery and Microsoft Azure SQL Data Warehouse. They offer a near-unlimited capacity for scalability and can handle a large volume of data without overtaxing CPUs or consuming too large amounts of storage. They’re particularly well-suited to the ELT (extract load, transform) process, in which business analysts and business intelligence analysts transform raw data into a form that makes it easier to analyze.