What new capabilities were acquired by Barclay’s through their new Analytic initiatives that they did not have before.

Watch the case study video and answer below questions

1. Do you think Barclay’s faced a big data problem? If so, how would you characterize the
problem in terms of 3 Vs of Big Data. Explain. [ 20 Points ]
2. How does the “Data Universe” of data looks like for Barclay’s? Which part of their problems
needed analysis of structured data vs. unstructured data? [ 20 Points ]
3. What new capabilities were acquired by Barclay’s through their new Analytic initiatives that they did not have before. Why couldn’t they have such capabilities before? What new
business benefits were realized by each of these initiatives? [ 20 Points ]
4. Research and explain the concept of “Data Lake”. What is the difference between Data Lake and Data Warehouse? Why did Barclay’s need a “Data Lake” in their situation? [ 20 Points ]
5. Describe how Hadoop and it’s tools were used in Barclay’s analytic solution. Why did
Barclay’s choose to have an OLAP solution inside the Hadoop environment and not
outside? Name two other tools those were next close choices behind Kyvos and what were
their shortcomings relative to the requirements. [ 20 Points ]

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