Modern and scalable data warehouse
Modern businesses generate large amounts of data from their customers, suppliers, partners, and internal systems. If carefully analyzed and interpreted, this data could provide immense insight into business growth and sustainability. The data collected from these different data sources comes in unstructured, semi-structured, and structured forms. It’s useful to transform the data into a structured format and send it to a central location. This is where businesses rely on data warehousing solutions to work as a central repository, where the data is collected for analytics as well as different tools used for data transformation.
A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. Business analysts, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics applications.