Data Management Fundamentals: Chapter 1 Review

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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?

Data management Signup and view all the answers

What is data architecture according to the text?

The data master plan Signup and view all the answers

What is the main focus of data management at scale?

Administering a modern data architecture Signup and view all the answers

What is a top priority for many large companies?

Dealing with personal data and data governance Signup and view all the answers

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

The distinction between the two is becoming more obscure Signup and view all the answers

What is the goal of operational analytics?

Predicting and improving existing processes Signup and view all the answers

What is required for dealing with big regulatory topics?

Transparency and privacy-first approaches Signup and view all the answers

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

Further restrictions, additional processes, and enhanced control Signup and view all the answers

What is needed for integrating analytical results into operational systems?

A different integration architecture Signup and view all the answers

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

Removing the expensive licensing aspect of commercial vendors Signup and view all the answers

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

Enabling massive data storage and increasing efficiency Signup and view all the answers

What is the consequence of data proliferation in relational databases?

Difficulty in finding, judging origin, and controlling data Signup and view all the answers

What is the result of the growth of analytical techniques?

Increased data-intensiveness Signup and view all the answers

Why is open source technology becoming the mainstream standard?

Because it allows everybody to learn from each other Signup and view all the answers

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

Data proliferation and data-intensiveness Signup and view all the answers

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

Decentralized data distribution Signup and view all the answers

Why is mastering data integration crucial?

To effectively use APIs and SaaS systems Signup and view all the answers

What trend is driving the need for quick data distribution?

Cloud, SaaS, and microservices Signup and view all the answers

What is the limitation of monolithic data architectures?

They may not meet future needs in highly distributed environments Signup and view all the answers

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

More decentralized data distribution Signup and view all the answers

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

It is a combination that requires a new approach to data management Signup and view all the answers

What is a major challenge posed by data lakes?

Tight coupling with source systems Signup and view all the answers

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

Management resistance and internal politics Signup and view all the answers

What is a limitation of centralized data management architectures?

Limited creativity and insights Signup and view all the answers