A data warehouse, or data warehouse , links information from multiple sources and systems in the company in a way that makes it easy to analyze. Here you can read about what a data warehouse is and why it can be a good investment for you.
But how to build a data warehouse? And how does it relate to all other systems your company uses?
Stay tuned - we should avoid being too technical.
For starters, what is really the difference between a data warehouse and a "standard" database? Both of them store data.
What sets them apart is above all the purpose.
A data warehouse is built to store large amounts of historical data and enable quick, complex queries for all data, usually through so-called Online Analytical Processing (OLAP). Among other things, you want to be able to compare statistics from different months and years, follow up CPIs, find patterns in the target group's behavior and so on.
Instead, databases are mostly used to store current transactions and enable quick access to specific transactions in ongoing business processes, known as OLTP (Online Transaction Processing). They may be a sum of money being moved from one account to another or a customer order added to the order system.
Click here to know more about #data layer.
But how to build a data warehouse? And how does it relate to all other systems your company uses?
Stay tuned - we should avoid being too technical.
For starters, what is really the difference between a data warehouse and a "standard" database? Both of them store data.
What sets them apart is above all the purpose.
A data warehouse is built to store large amounts of historical data and enable quick, complex queries for all data, usually through so-called Online Analytical Processing (OLAP). Among other things, you want to be able to compare statistics from different months and years, follow up CPIs, find patterns in the target group's behavior and so on.
Instead, databases are mostly used to store current transactions and enable quick access to specific transactions in ongoing business processes, known as OLTP (Online Transaction Processing). They may be a sum of money being moved from one account to another or a customer order added to the order system.
Click here to know more about #data layer.
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