Online Data Warehouses for Business Analytics and Business Intelligence
Data warehouses are designed to provide an overview of data from business across time by combining massive amounts of historical and current data into a single repository. Data warehouses also add value to operations by optimizing and transforming data for analysis. They are, therefore, the primary source for business analytics and enterprise Intelligence.
Cloud-based data warehouses are available and provide faster, better insights to business users. Businesses can also use them to connect to new data sources and apps, without manual configuration or intervention from IT.
The top online data stores support many different data types and usage scenarios. Some can be used to analyze unstructured data, such as videos and text. They work best with structured data that is arranged in a particular manner (e.g. tables).
Modern data warehouses allow users to define relationships among their data sets and tables. This lets you explore, share and 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. These solutions are scalable to an extent that is nearly limitless, so they can handle a large volume of data without overtaxing CPUs or consuming too large amounts of storage. They are specifically suited for the ELT process (extract load transform) where business analysts and users of business intelligence transform raw data into a simpler form that can be analyzed.
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