A KEY PART OF A LAYERED DATA ARCHITECTURE
ENTERPRISE SOFTWARE
54 the entire data lifecycle , ensuring users can identify exactly where data is created , stored , managed and most importantly , where it ’ s going to next .
A KEY PART OF A LAYERED DATA ARCHITECTURE
Good data architecture is like a delicious cake – it has layers . At the bottom layer , you have the raw data . At the top , there ’ s only the frosting , which in this case is the most valuable data ready to be used in BI and analytics . For that raw data to become valuable , it has to be cleaned , enriched and governed so that only the most relevant data makes it to the top . A modern data warehouse makes this happen .
Raw data gets processed using inmemory accelerators , and from there it ’ s stored in databases ( the less valuable stuff ) or prepared for consumption ( the more useful data ) to gain insights . Data warehouses give access to this valuable data by connecting seamlessly to data lakes . Data warehouses that can achieve all of this are a critical part of any effective data strategy .
MARCH 2020