0
Big data refers to massive amounts of data on which technology can be applied. A data warehouse is a repository of historical data from a company's many operations. Big data is a method of storing and managing massive amounts of information.
To learn more about data science please visit- Learnbay.co
Learn bay
Wiki User
∙ 9y agoNo, Datawarehouse and big data are different, they are not same. Big data is data about data and is estimated to reach 7.9 zb in 2015.
Add your answer:
Earn +20 pts
What is data where housing and mining?
it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.
What do you mean by data warehouse?
Data warehouse is a house where current as well as historical data can be stored.
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
How does Data Warehouse differ from Data Mart?
Data marts are combined into a data warehouse cannot be built alone without considering data marts. Both has equal importance to built proper data warehouse.
What is metadata what is its use in data warehouse architecture?
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
Every data structure in data warehouse contains time element?
Every data structure in the data warehouse contains the time element. Why?
What are benefits of data warehouse?
One of the biggest benefits is that you can archive your data to a data warehouse. This can keep your main "production" database smaller which can provide some performance benefits. Also you can use the data warehouse to run complex queries and data-mining without adverse effects on the performance of your "production" application.
Difference between data warehouse and OLTP?
A data warehouse differs from OLTP in that the former handles many large and complex queries regarding various rows of a table while the latter retrieves data from single rows. At the same time, a data warehouse is not real time and supports few users at a time compared to OLTP that can support many concurrent users.
What makes the best data warehouse architecture?
A data warehouse architecture is similar to various relational database systems. What makes the best architecture is the organization of the warehouse itself and the data it consist of.
What are the advantages of a warehouse?
Data warehouse is the pool of huge amount of data. The data in data ware house can be archived. And when the data is needed you can extract it from the archived files.
What is distributed data warehouse?
A distributed data warehouse is a type of data warehouse architecture where data is distributed across multiple servers or nodes in a network. This allows for improved scalability, performance, and fault tolerance compared to a centralized data warehouse. Distributed data warehouses can handle large volumes of data more efficiently by spreading the workload across multiple nodes.
What describes contents of a data warehouse?
A data warehouse stores structured data from various sources for analysis and reporting. It typically includes historical data, organized into tables, aimed at supporting decision-making processes. Data warehouses are optimized for complex queries and data aggregation.
