Online Data Warehouses for Business Analytics and Business Intelligence

Data warehouses are designed to give an overview of data from business across time by combining massive amounts of current and historical data into a single repository. Data warehouses also add value to operations by optimizing and transforming data for analytical purposes. This makes them the primary source of enterprise analytics and business intelligence.

Online data warehouses are cloud-based and deliver faster, better insights to business users. Businesses can also make use of them to connect new data sources and apps without any intervention from IT or manual configuration.

The top data warehouses online provide a wide variety of data types and scenarios. Some are suited to analyze unstructured information like videos and text. They work best with structured data, which is organized in a certain manner (e.g. tables).

Modern data warehouses let users define relationships among their tables and data sets. This allows you to explore, share and collaborate with colleagues in a safe, controlled environment.

Amazon Web Services’ Redshift and Snowflake are the most popular online data warehouses. Other vendors include Google Cloud Platform BigQuery and Microsoft Azure SQL dataroomtechs.info/ Data Warehouse. These solutions offer near-unlimited scalability and are able to handle a large volume of data without overtaxing the CPUs or consuming too large amounts of storage. They are particularly well-suited to the ELT process (extract load transform) which helps business analysts and users of business intelligence turn raw data into a simpler form to analyse.