Big Data Concepts and Tools - Big Data and Data Warehousing
4 important questions on Big Data Concepts and Tools - Big Data and Data Warehousing
What is actionable data?
What are the challenges facing data warehousing and Big Data? Are we witnessing the end of the data warehousing era? Why or Why not?
Hadoop and RDBMS are not interchangeable, the differences overwhelm the similarities.
What are the use cases for data warehousing and RDBMS?
Integrating data that provides business value: Nowhere else in the entire IT data center is data collected, cleaned and integrated as it is in the data warehouse.
Interactive BI tools: force of tools that which business users enable o demand more reports than IT has staffing to provide. Users start asking more strategic questions in stead of trivial question. Power users!
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- Never study anything twice
- 100% sure, 100% understanding
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In what scenario's can Hadoop and RDBMS coexist?
Use Hadoop for filtering, transforming, and/or consolidating multistructured data: Aster-Hadoop connector
Use Hadoop to analyze large volumes of multistructured data and publish the analytical results: result can be posted back to the RDMS
Use a RDBMS that provides MapReduce capabilities as an investigative computing platform: mixture of SQL and MapReduce analytic functions
Use a front-end query to access and analyze data: data stored in both
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
