Understanding Big Data Management Architecture

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What type of data management is relational databases especially important for?

Real-time data management of multimedia data
Transactional data management of highly structured data (correct)
Big data management of semi-structured data
Analytical data management of unstructured data

Why did organizations need the data warehouse solution?

To select a subset of data for easier business insights (correct)
To increase the volume of data being analyzed
To store unstructured data for future analysis
To merge operational and analytical data processing

What did warehouses provide to help companies with organizational performance?

Tools for real-time decision making
Specialized hardware for faster processing
Automated data entry processes
Integrated source of information from various data sources (correct)

What was the primary purpose of a data warehouse?

To help companies analyze large amounts of structured data (C) Signup and view all the answers

What benefit did the relational databases bring to developers?

Enabled them to create more complex models (D) Signup and view all the answers

Why was it necessary to separate operational decision support processing and decision support?

For performance reasons (B) Signup and view all the answers

What kind of data does big data incorporate?

Structured data and unstructured data (C) Signup and view all the answers

Why is it important for companies to leverage both structured and unstructured data?

Data has become essential for growth and innovation (D) Signup and view all the answers

What is the first step in the big data management cycle illustrated in Figure 1-1?

Data capture (A) Signup and view all the answers

What does the text suggest regarding building a successful big data management architecture?

An underlying architecture is essential to support growing data requirements (B) Signup and view all the answers

Why is validation mentioned as a particularly important issue in big data management?

Validation ensures accuracy and reliability of the results (D) Signup and view all the answers

Why does the text mention leveraging both structured and unstructured data for big data management?

Due to data being the fuel for growth and innovation (D) Signup and view all the answers

What is a key aspect that makes big data 'big'?

Utilizing data from various sources (A) Signup and view all the answers

Why are open application programming interfaces (APIs) considered crucial in big data architecture?

To enable interaction with diverse data sources (B) Signup and view all the answers

What is a foundational requirement for big data management architecture?

Utilizing a variety of services (B) Signup and view all the answers

Why are interfaces and feeds important in the context of big data architecture?

To allow interaction with external data sources (C) Signup and view all the answers

What is a crucial factor that enables big data to function effectively?

Availability of interfaces at multiple stack levels (C) Signup and view all the answers

In what way do open application programming interfaces (APIs) contribute to big data architecture?

By facilitating interaction with diverse data sources (D) Signup and view all the answers

How does Hadoop parallelize data processing?

By distributing computations across computing nodes (C) Signup and view all the answers

What is the main purpose of Big Table developed by Google?

To be a distributed storage system for structured data (D) Signup and view all the answers

What is the key difference between Big Table and a traditional relational database model?

Big Table is a sparse multidimensional sorted map (A) Signup and view all the answers

Why is Hadoop considered a foundation for the computing architecture supporting Yahoo!’s business?

For its capability to parallelize data processing on large clusters (B) Signup and view all the answers

What is the primary function of Hadoop’s MapReduce engine?

Compute results in batches across computing nodes (A) Signup and view all the answers

What type of analytics may utilize a traditional data warehouse according to the text?

Some analyses being solved by traditional approaches (A) Signup and view all the answers

What is a key consideration for healthcare companies using big data applications?

Protecting patient data (C) Signup and view all the answers

Why is it important to incorporate all data sources in big data analysis?

To have a complete picture of the business (B) Signup and view all the answers

What is a critical aspect of security infrastructure for big data?

Verifying user identities (B) Signup and view all the answers

Why is it emphasized that security requirements should be part of the big data fabric from the outset?

To avoid security breaches (B) Signup and view all the answers

What types of data sources are mentioned as essential for operational data in the current scenario?

Both structured and unstructured sources (A) Signup and view all the answers

What is one of the primary reasons for protecting patient data in healthcare companies?

To improve patient care (C) Signup and view all the answers