3.8.3 Application of Map Reduce | CS802(B) |

Опубликовано: 31 Декабрь 2024
на канале: RGPV Official

UNIT 3 | CLOUD COMPUTING

3.8.3 Application of Map Reduce

Welcome to Unit-3 of CS802(B) - Cloud Computing, where Dr. Nikhat Raza Khan Ma'am guides you through the intricate landscape of "Data in the Cloud". In this detailed course, we'll explore each sub-topic covered in this unit, providing valuable insights into the management and processing of data within cloud environments.

3.1 Introduction to Data in the Cloud:
Embark on a journey into the realm of data in the cloud with a comprehensive introduction. Dr. Nikhat Raza Khan Ma'am will outline the significance and challenges of managing data in cloud computing environments.

3.2 Relational Databases:
Delve into the world of relational databases, understanding their crucial role in storing and organizing structured data.

3.2.1 Important Aspects of Relational Databases:
Explore the critical aspects of relational databases, gaining insights into their design principles and functionalities.

3.2.2 SQL (Structured Query Language):
Discover the language that powers interaction with relational databases - SQL. Dr. Nikhat Raza Khan Ma'am will provide practical insights into this essential tool.

3.3 Cloud File Systems:
Explore cloud file systems, including the Google File System (GFS) and Hadoop Distributed File System (HDFS).

3.3.1 GFS:
Dive deep into the architecture and features of the Google File System (GFS), understanding its role in handling large-scale distributed data.

3.3.2 HDFS:
Explore the architecture and features of the Hadoop Distributed File System (HDFS), gaining insights into its significance in the context of big data processing.

3.3.3 Comparison between GFS AND HDFS:
Dr. Nikhat Raza Khan Ma'am will provide a comparative analysis, highlighting the differences and similarities between GFS and HDFS.

3.4 Big Table:
Understand the concept of Big Table and its application in handling massive amounts of data in a distributed environment.

3.5 HBase:
Explore HBase, a distributed, scalable, and NoSQL database built on top of Hadoop. Dr. Nikhat Raza Khan Ma'am will discuss its architecture and features.

3.5.1 Dynamo:
Dive into Dynamo, a highly available and distributed data store. Understand its principles and its significance in cloud computing.

3.6 Master Server:
Explore the concept of a master server in the context of distributed systems, understanding its role in managing data and resources.

3.7 Zookeeper:
Understand the importance of Zookeepers in distributed systems, providing coordination and synchronization services.

3.8 Map-Reduce and Extensions:
Delve into the Map-Reduce paradigm and its extensions, exploring parallel computing and its efficiency.

3.8.1 Parallel Computing:
Understand the principles of parallel computing and its efficiency in the context of MapReduce.

3.8.2 The Map-Reduce Model:
Explore the Map-Reduce model and its application in processing large datasets in distributed environments.

3.8.3 Application of Map Reduce:
Dr. Nikhat Raza Khan Ma'am will discuss practical applications of the MapReduce paradigm, showcasing its versatility in data processing.

3.9 Relational Operations:
Explore relational operations in the cloud environment, understanding how they facilitate efficient data processing.

3.10 Enterprise Batch Processing:
Dr. Nikhat Raza Khan Ma'am will delve into the concept of enterprise batch processing, showcasing its importance in handling large-scale data operations.

Join Dr. Nikhat Raza Khan Ma'am on this enlightening journey through Unit-3 of CS802(B) - Cloud Computing. Subscribe now, hit the notification bell, and let's continue our exploration of the dynamic and transformative world of data in the cloud!

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