Data Management Fundamentals: Chapter 1 Review
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Questions and Answers

What is data management according to DAMA-DMBOK?

  • The design and high-level structure of software
  • The development of data integration plans
  • The development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their life cycles (correct)
  • The limited documentation of metadata management

Which area of DAMA-DMBOK needs more work?

  • Data architecture
  • Data integration and interoperability (correct)
  • Metadata management
  • Software architecture

What is a key aspect of software architecture?

  • Data master plan
  • Metadata management
  • Scalability and reusability (correct)
  • Data integration and interoperability

What is closely related to software architecture?

<p>Data management (B)</p> Signup and view all the answers

What is data architecture according to the text?

<p>The data master plan (D)</p> Signup and view all the answers

What is the main focus of data management at scale?

<p>Administering a modern data architecture (C)</p> Signup and view all the answers

What is a top priority for many large companies?

<p>Dealing with personal data and data governance (D)</p> Signup and view all the answers

What is the trend in the relationship between transactional and analytical applications?

<p>The distinction between the two is becoming more obscure (C)</p> Signup and view all the answers

What is the goal of operational analytics?

<p>Predicting and improving existing processes (C)</p> Signup and view all the answers

What is required for dealing with big regulatory topics?

<p>Transparency and privacy-first approaches (B)</p> Signup and view all the answers

What is the consequence of stronger regulatory requirements and data ethics?

<p>Further restrictions, additional processes, and enhanced control (A)</p> Signup and view all the answers

What is needed for integrating analytical results into operational systems?

<p>A different integration architecture (B)</p> Signup and view all the answers

What has been the primary outcome of open source technology in advanced analytics?

<p>Removing the expensive licensing aspect of commercial vendors (C)</p> Signup and view all the answers

What is the primary benefit of specialized databases like Cassandra, HBase, MongoDB, Hive, and Redis?

<p>Enabling massive data storage and increasing efficiency (D)</p> Signup and view all the answers

What is the consequence of data proliferation in relational databases?

<p>Difficulty in finding, judging origin, and controlling data (D)</p> Signup and view all the answers

What is the result of the growth of analytical techniques?

<p>Increased data-intensiveness (C)</p> Signup and view all the answers

Why is open source technology becoming the mainstream standard?

<p>Because it allows everybody to learn from each other (C)</p> Signup and view all the answers

What are the two primary problems resulting from the growth of advanced analytics and databases?

<p>Data proliferation and data-intensiveness (C)</p> Signup and view all the answers

What is the consequence of integrating core business functionalities with third parties and platforms?

<p>Decentralized data distribution (C)</p> Signup and view all the answers

Why is mastering data integration crucial?

<p>To effectively use APIs and SaaS systems (C)</p> Signup and view all the answers

What trend is driving the need for quick data distribution?

<p>Cloud, SaaS, and microservices (B)</p> Signup and view all the answers

What is the limitation of monolithic data architectures?

<p>They may not meet future needs in highly distributed environments (C)</p> Signup and view all the answers

What is the result of companies making their APIs publicly available?

<p>More decentralized data distribution (B)</p> Signup and view all the answers

What is the risk of the current approach to data management?

<p>It is a combination that requires a new approach to data management (B)</p> Signup and view all the answers

What is a major challenge posed by data lakes?

<p>Tight coupling with source systems (D)</p> Signup and view all the answers

What is a common reason for the high failure rate of big data projects?

<p>Management resistance and internal politics (A)</p> Signup and view all the answers

What is a limitation of centralized data management architectures?

<p>Limited creativity and insights (B)</p> Signup and view all the answers

What is a modern software development approach that incorporates best practices and strategic elements?

<p>Domain-driven design (C)</p> Signup and view all the answers

What is the primary purpose of data warehouses and data lakes?

<p>To harmonize data from various sources (D)</p> Signup and view all the answers

What is a technique used to scale up data warehouses and lakes?

<p>All of the above (D)</p> Signup and view all the answers

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