Online Data Warehouses for Business Analytics and Business Intelligence

Data warehouses are a central location for massive amounts of both current and browse around these guys historical data in one central repository. They are designed to provide an expansive view of business data over time. They also add value to operational business applications by optimizing and transforming data for analysis. They are, therefore, the most important tool for business analytics and enterprise intelligence.

Online data warehouses are cloud-based and provide faster, more efficient information to business users. Businesses can also use them to connect to new data sources and apps without requiring the intervention of IT personnel or manual configuration.

The most reliable online data stores can handle the widest range of data types and usage cases. Some can be used to analyze non-structured data like videos and text. They work best with structured data that is arranged in a particular manner (e.g. tables).

Modern data warehouses also allow users to define relationships between their data sets and tables. This allows you to explore and share data with colleagues on data in a secure, governed environment.

The biggest online data warehouse vendors include 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 bursts of activity without overtaxing the CPUs or consuming too many storage. They are particularly well-suited for the ELT (extract load transform) process, which lets business analysts and business intelligence users convert raw data into a format that makes it easier to analyse.