Exploring Big Data Concepts

What is Big Data Analytics?

• Big Data Analytics is only about data storage.

• Big Data Analytics focuses solely on data visualization.

• Big Data Analytics is the process of creating small data sets.

• process of analyzing large and complex data sets to extract meaningful insights.

Explain the role of HBase in Big Data.

• HBase is a relational database that requires a fixed schema.

• HBase is primarily used for batch processing of data.

• HBase is designed for storing small amounts of data in memory.

• HBase serves as a scalable, distributed NoSQL database for real-time access to large datasets in Big Data applications.

What is Hadoop and how does it work?

• Hadoop is a framework for distributed storage and processing of large data sets.

• Hadoop is a cloud storage service for small files.

• Hadoop is a type of database management system.

• Hadoop is a programming language for data analysis.

Define MapReduce and its significance in Big Data.

• MapReduce is a cloud storage solution for managing data.

• MapReduce is a programming language used for data visualization.

• MapReduce is a database management system for Big Data.

• MapReduce is significant in Big Data as it enables the processing of vast amounts of data in parallel across distributed systems, improving performance and scalability.

What are the main components of Hadoop V3?

• YARN, Docker, and Kubernetes

• HDFS, Spark, and Kafka

• HDFS, YARN, MapReduce, and ecosystem tools like Hive, Pig, HBase.

• MapReduce, SQL, and Redis

Differentiate between Data Node and Name Node.

• Name Node stores actual data; Data Nodes manage metadata.

• Data Nodes handle network requests; Name Nodes process data.

• Name Node is responsible for data replication; Data Nodes handle user permissions.

• Name Node manages metadata; Data Nodes store actual data.

What are regions in HBase?

• Regions in HBase are entire tables stored in memory.

• Regions in HBase are temporary storage locations for data before it is written to disk.

• Regions in HBase are horizontal slices of a table that contain a subset of rows.

• Regions in HBase are vertical slices of a table that contain a subset of columns.

How does Zookeeper support Hadoop?

• Zookeeper supports Hadoop by providing coordination and management services for distributed applications.

• Zookeeper provides a user interface for Hadoop applications.

• Zookeeper is a programming language for Hadoop development.

• Zookeeper is used for data storage in Hadoop.

What is Hive and its purpose in Big Data?

• Hive is a cloud storage service for Big Data.

• Hive is a machine learning framework for predictive analytics.

• Hive is a data warehousing tool for Big Data that enables SQL-like querying of large datasets in Hadoop.

• Hive is a programming language for data analysis.

Explain the concept of NoSQL databases.

• NoSQL databases are non-relational databases that allow for flexible data models, scalability, and high performance, suitable for large volumes of unstructured or semi-structured data.

• NoSQL databases require a fixed schema for data storage.

• NoSQL databases are only used for structured data.

• NoSQL databases are slower than traditional SQL databases.