What is Hive? Explain Hive architecture
7.B) What is Hive? Explain Hive architecture. – 10 Marks Answer:- Hive was created by Facebook. Hive is a data warehousing tool and is also a data store on the…
Category solved model papers
Explain MapReduce execution steps with a neat diagram
7.A) Explain MapReduce execution steps with a neat diagram. – 10 Marks Answer:- MapReduce Execution Steps: 1. Input Split 2. RecordReader (RR) 3. Mapping Phase (MAP) 4. Combine Phase (Optional)…
Explain MongoDB database
6.B) Explain MongoDB database – 10 Marks Answer:- MongoDB Database Overview MongoDB is an open-source, NoSQL database management system (DBMS) that uses a document-based approach. It is designed to provide flexibility,…
Explain the shared-nothing architecture for big data tasks
6.A) Explain the shared-nothing architecture for big data tasks. – 10 Marks Answer:- Shared-Nothing Architecture for Big Data Tasks Key Features of SN Architecture Advantages of SN Architecture Examples of…
Explain NoSQL data architecture patterns
5.B) Explain NoSQL data architecture patterns. – 10 Marks Answer:- 1. Key-Value Store 2. Document Store 3. Tabular Data Store 4. Object Data Store
What is NoSQL? Explain the CAP Theorem
5.A) What is NoSQL? Explain the CAP Theorem. – 10 Marks Answer:- NoSQL refers to a class of database management systems that don’t rely on the traditional relational database model…
Berkeley Data Analytics Stack
2.c) How does Berkeley Data Analytics Stack help in analytics tasks? Answer: Berkeley Data Analytics Stack (BDAS): The importance of Big Data lies in the fact that what one does…
Big Data applications
2.b) Explain any two big data applications Answer: Note: Explain any two. Big Data Applications: Big Data in Marketing and Sales Big data Analytics in detection of marketing Fruads: Fraud…
What is Cloud Computing? Explain different services of Cloud.
2.a) What is Cloud Computing? Explain different services of Cloud. Answer: Cloud Computing “Cloud computing is a type of Internet-based computing that provides shared processing resources and data to the…
Explain the following terms: scalability and parallel processing, grid and cluster computing.
1.b) Explain the following terms: scalability and parallel processing, grid, and cluster computing. – 10 Marks Answer: Scalability and Parallel Processing Big Data needs processing of large data volume, and…