Exam 13: Big Data and Analytics

________ speeds time to insights and enables better data governance by performing data integration and analytic functions inside the database.

In the world of Big Data, ________ aids organizations in processing and analyzing large volumes of multi-structured data. Examples include indexing and search, graph analysis, etc.

In the opening vignette, what is the source of the Big Data collected at the European Organization for Nuclear Research or CERN?

What is the Hadoop Distributed File System (HDFS) designed to handle?

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights. What is this process called?

In the opening vignette, the CERN Data Aggregation System (DAS), built on MongoDB (a Big Data management infrastructure), used relational database technology.

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

________ refers to the conformity to facts: accuracy, quality, truthfulness, or trustworthiness of the data.

In-motion ________ is often overlooked today in the world of BI and Big Data.

Big Data uses commodity hardware, which is expensive, specialized hardware that is custom built for a client or application.

Which of the following sources is likely to produce Big Data the fastest?

All of the following statements about MapReduce are true EXCEPT

Companies with the largest revenues from Big Data tend to be

It is important for Big Data and self-service business intelligence go hand in hand to get maximum value from analytics.

In the Luxottica case study, outsourcing enhanced the ability of the company to gain insights into their data.

In the investment bank case study, the major benefit brought about by the supplanting of multiple databases by the new trade operational store was providing real-time access to trading data.

In open-source databases, the most important performance enhancement to date is the cost-based ________.

Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?

Big Data employs ________ processing techniques and nonrelational data storage capabilities in order to process unstructured and semistructured data.

Traditional data warehouses have not been able to keep up with