Understanding Big Data

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What are the three main characteristics that big data is typically broken down into?

Quantity, Speed, Accuracy

Variety, Velocity, Veracity

Speed, Volume, Types

Volume, Velocity, Variety (correct)

What is the fourth 'V' that is considered important in the context of big data?

Value

Variability

Validation

Veracity (correct)

Why is it noted in the text that simplifying big data into the three Vs can be misleading?

Because it underestimates the volume of data handled

Because it's too complex for most companies to understand

Because it overlooks the importance of data accuracy (correct)

Because it ignores the need for real-time analysis

What is the main purpose of analyzing massive amounts of data in real time, as mentioned in the text?

To assess the value of customers quickly Signup and view all the answers

Which element is crucial for a business when analyzing big data to impact business outcomes?

Amount and types of data analyzed Signup and view all the answers

Why is veracity an important consideration when analyzing big data?

To ensure accurate prediction of business value Signup and view all the answers

How did companies address the challenge of handling unstructured data elements?

By storing unstructured data elements as one contiguous chunk in a relational database. Signup and view all the answers

What was the limitation of storing unstructured data as BLOBs in relational databases?

It was impossible to see what was inside the object. Signup and view all the answers

What did the object database management system (ODBMS) provide that traditional relational databases did not?

Unified approach for dealing with unstructured data. Signup and view all the answers

What was a key feature of object databases that helped with manipulation of various data objects?

Inclusion of a programming language and structured data element approach. Signup and view all the answers

What significant innovation did object databases introduce to data management?

Introduction of a new level of innovation to handle unstructured data. Signup and view all the answers

In which 'wave' of data management did web and content management play a significant role?

'Wave 2: Web and content management' Signup and view all the answers

Why is it important for companies to secure big data?

To comply with compliance requirements and protect privacy Signup and view all the answers

What is one reason a healthcare company might use big data applications?

To determine changes in demographics or shifts in patient needs Signup and view all the answers

Why should security requirements be considered from the outset in big data analysis?

To ensure security is an integral part rather than an afterthought Signup and view all the answers

What is a characteristic of traditional operational data sources?

Highly structured data in relational databases Signup and view all the answers

Why is it important for operational data sources to encompass a broader set of data sources?

To get a complete picture of the business and understand the impact of data Signup and view all the answers

What kind of data source is increasingly important for businesses alongside structured data?

Unstructured sources like customer and social media data Signup and view all the answers

What is one of the challenges companies face in dealing with different types of data sources?

Making sense of the intersection of various data sources Signup and view all the answers

What contributes to the challenge of managing data in traditional ways?

Vast amounts of data that vary in type and timeliness Signup and view all the answers

What is highlighted as a key aspect of big data in the text?

Using information in more ways than before Signup and view all the answers

Which factor is mentioned as driving the creation of new data sources?

More powerful mobile devices and ubiquitous access to global networks Signup and view all the answers

Why is it impossible to think about data management in traditional ways according to the text?

Varying types and timeliness of data today Signup and view all the answers

What is described as both an opportunity and a challenge of big data in the text?

Thinking about managing data differently Signup and view all the answers

What is the significance of redundant physical infrastructure in big data architecture?

It ensures the operation and scalability of big data architecture. Signup and view all the answers

How does the distributed computing model impact the physical infrastructure in big data?

It allows for data to be stored in many locations and linked together through networks. Signup and view all the answers

Why is redundancy important in big data architecture?

To support a large volume of data from various sources. Signup and view all the answers

How can a private cloud environment benefit from redundancy?

It allows the private cloud to scale out to support changing workloads. Signup and view all the answers

In what way does Software as a Service (SaaS) contribute to redundancy in big data systems?

SaaS can offer redundancy by providing data analysis as a service. Signup and view all the answers

How does the use of external cloud services impact internal IT growth?

External cloud services augment internal resources to contain IT growth. Signup and view all the answers