30 Questions
What is data management according to DAMA-DMBOK?
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
Which area of DAMA-DMBOK needs more work?
Data integration and interoperability
What is a key aspect of software architecture?
Scalability and reusability
What is closely related to software architecture?
Data management
What is data architecture according to the text?
The data master plan
What is the main focus of data management at scale?
Administering a modern data architecture
What is a top priority for many large companies?
Dealing with personal data and data governance
What is the trend in the relationship between transactional and analytical applications?
The distinction between the two is becoming more obscure
What is the goal of operational analytics?
Predicting and improving existing processes
What is required for dealing with big regulatory topics?
Transparency and privacy-first approaches
What is the consequence of stronger regulatory requirements and data ethics?
Further restrictions, additional processes, and enhanced control
What is needed for integrating analytical results into operational systems?
A different integration architecture
What has been the primary outcome of open source technology in advanced analytics?
Removing the expensive licensing aspect of commercial vendors
What is the primary benefit of specialized databases like Cassandra, HBase, MongoDB, Hive, and Redis?
Enabling massive data storage and increasing efficiency
What is the consequence of data proliferation in relational databases?
Difficulty in finding, judging origin, and controlling data
What is the result of the growth of analytical techniques?
Increased data-intensiveness
Why is open source technology becoming the mainstream standard?
Because it allows everybody to learn from each other
What are the two primary problems resulting from the growth of advanced analytics and databases?
Data proliferation and data-intensiveness
What is the consequence of integrating core business functionalities with third parties and platforms?
Decentralized data distribution
Why is mastering data integration crucial?
To effectively use APIs and SaaS systems
What trend is driving the need for quick data distribution?
Cloud, SaaS, and microservices
What is the limitation of monolithic data architectures?
They may not meet future needs in highly distributed environments
What is the result of companies making their APIs publicly available?
More decentralized data distribution
What is the risk of the current approach to data management?
It is a combination that requires a new approach to data management
What is a major challenge posed by data lakes?
Tight coupling with source systems
What is a common reason for the high failure rate of big data projects?
Management resistance and internal politics
What is a limitation of centralized data management architectures?
Limited creativity and insights
What is a modern software development approach that incorporates best practices and strategic elements?
Domain-driven design
What is the primary purpose of data warehouses and data lakes?
To harmonize data from various sources
What is a technique used to scale up data warehouses and lakes?
All of the above
Test your understanding of the basics of data management, including its definition, plans, and practices. This quiz covers the review of data management as per DAMA-DMBOK's guide. Evaluate your knowledge of data integration and its importance in the data lifecycle.
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