Exploring Big Data Concepts

What are the main components of HDFS architecture?

• NameNode and DataNodes

• StorageNode and ComputeNode

• BlockManager and FileSystem

• MasterNode and SlaveNodes

Explain the role of NameNode in HDFS.

• The NameNode stores all the data blocks in HDFS.

• The NameNode is responsible for data replication in HDFS.

• The NameNode handles user authentication in HDFS.

• The NameNode manages the filesystem namespace and metadata in HDFS.

What is the purpose of DataNode in HDFS?

• To replicate data across multiple clusters.

• To manage the metadata of files in HDFS.

• To handle client requests in HDFS.

• The purpose of DataNode in HDFS is to store and manage the actual data blocks of files.

Describe the MapReduce programming model.

• MapReduce is a database management system for small data sets.

• MapReduce is a single-threaded programming model for sequential processing.

• MapReduce is a graphical interface for data visualization.

• MapReduce is a programming model for processing large data sets with a distributed algorithm, consisting of 'Map' and 'Reduce' functions.

What are the key phases of the MapReduce process?

• Input phase and Output phase

• Compile phase and Execute phase

• Shuffle phase and Sort phase

• Map phase and Reduce phase

How does HBase differ from traditional RDBMS?

• HBase is a NoSQL database that offers scalability and flexibility, unlike traditional RDBMS which are structured and schema-based.

• HBase does not support scalability or flexibility.

• HBase is a type of traditional RDBMS.

• HBase requires a fixed schema like RDBMS.

What is the HBase data model based on?

• A sparse, distributed, multi-dimensional sorted map.

• A dense, single-dimensional unordered list.

• A fixed-size, two-dimensional array.

• A simple key-value pair structure.

Explain the concept of column families in HBase.

• Column families are physical storage units that cannot be modified.

• Column families are used to define the data types of columns in HBase.

• Column families are a way to group rows in HBase for better indexing.

• Column families in HBase are logical groupings of columns that are stored together on disk, allowing for efficient data retrieval and storage.

What are the advantages of using HBase for big data applications?

• No support for real-time processing

• Advantages of using HBase for big data applications include scalability, real-time access, support for sparse data, and Hadoop integration.

• Limited data storage capacity

• Incompatibility with Hadoop ecosystem

Define big data analytics and its importance.

• Big data analytics is irrelevant for small businesses.

• Big data analytics focuses solely on social media data.

• Big data analytics is only about data storage.

• Big data analytics is the process of analyzing large and complex data sets to uncover insights, and it is important for informed decision-making, operational efficiency, and innovation.