BITM Big Data and Analytics

List any two differences between big data and data warehouse.

How would you distinguish between structured data and unstructured data?

Explain the characteristics of big data.

Explain the obstacle and impact of Big Data.

What do you mean by stream processing of data?

What are the confidentiality and integrity challenges in the Big Data ecosystem?

List some of the privacy challenges of Big data. How do you maintain quality of data?

Share a couple of real-world examples where prescriptive analytics has been applied in a business setting.

List the stages of data analytics.

Describe the descriptive, diagnostic and predictive data analytics.

What do you mean by scalable nature of NoSQL database?

What is the primary objective of data access component?

Explain CAP theorem in context of Hadoop.

List the advantage and disadvantage of NoSQL database.

What are the components of Hadoop Ecosystem? Describe any two.

When do we prefer NoSQL database? Explain the types of NoSQL database.

Define data catalog.

Why does metadata matter?

What is data lake?

Differentiate between data ware house, data lakes and lake house.

How do you apply Big data analytics on social media? Explain.

Define fraud ring. Discuss the various analytical technique and tools from big data analytics to identify fraudulent activity.