I know what is Data Warehouse & what is Big Data. But I am confused with Data Warehouse Vs Big Data. Both are same with different names or both are different(Conceptually & Physically).
I know that this is an older thread but there have been some developments in the last year or so. Comparing the data warehouse to Hadoop is like comparing apples to oranges. The data warehouse is a concept: clean, integrated data of high quality. I don't think the need for a data warehouse will go away anytime soon. Hadoop on the other hand is a technology. It is a distributed compute framework to process large volumes of data. In the past data warehouses were typically built on relational databases and data warehouse appliances. However, over the last couple of years various limitations of the RDBMS have emerged (exploding license costs in the face of growing data volumes, poor fit for purpose for querying graphs and hierarchies and ingesting unstructured data types etc.). At the same time MPP SQL query engines on Hadoop have appeared such as Apache Drill that now make it possible to query data that sits on Hadoop.
I have written a whole series of posts on the subject if you are interested in all of the details. Data Warehousing in the age of big data. The end of an era?