x , the need to store it cost efficiently became important over the last 10 years .
and discover if there ’ s any insight to it ,” said Alec Gardner , general manager at Teradata ANZ . “ Traditionally in a data warehouse , finance will have its data set and present it in the way they need to report it . Now , analysts can go to the data lake where they have the raw data , and present it with the initial lens that they want .”
The origin of the data lake The idea of getting sourced data and lending it in its exact form is a principal of data warehousing . However , the idea of data lake came along about 10 years ago alongside the new explosion of digital data . More consumers connecting online and sharing opinions with each other is what has driven the new aspect of a data lake . With data often so large and complex , the need to store it cost efficiently became important within the last 10 years , and Gardner believes it will
17