BITM Big Data and Analytics

What do you mean by stream processing of data?

Define data catalog.

List any two differences between big data and data warehouse.

How would you distinguish between structured data and unstructured data?

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

Why does metadata matter?

What is data lake?

What do you mean by scalable nature of NoSQL database?

List the stages of data analytics.

What is the primary objective of data access component?

Explain the characteristics of big data.

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

Explain CAP theorem in context of Hadoop.

Describe the descriptive, diagnostic and predictive data analytics.

List the advantage and disadvantage of NoSQL database.

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?

Explain the obstacle and impact of Big Data.

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

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

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

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