What is the role of the data warehouse in a big data era?
Just so, what is data warehouse in big data?
Data warehouse is an architecture of data storing or data repository. Whereas Big Data is a technology to handle huge data and prepare the repository. Data warehouse only handles structure data (relational or not relational), but big data can handle structure, non-structure, semi-structured data.
Beside above, what is a data warehouse used for? Data warehouses are used for analytical purposes and business reporting. Data warehouses typically store historical data by integrating copies of transaction data from disparate sources. Data warehouses can also use real-time data feeds for reports that use the most current, integrated information.
Herein, will Big Data replace data warehouse?
Hence we can rightly state that Big Data is a complement not a replacement to a data warehouse. They co-exist based on the business requirements. Hadoop will not replace a data warehouse because the data and its platform are two non-equivalent layers in Data warehouse architecture.
Is data warehousing dead?
“Despite declarations by pundits, data warehousing is not dead. Recent surveys show that more than 60% of companies are operating between two and five data warehouses today. Fewer than 10% have only one data warehouse or none at all.