

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
**Title: Leveraging Apache Spark for Big Data Analytics** **Introduction** Big Data Analytics has become an indispensable part of modern businesses, enabling organizations to derive valuable insights from vast volumes of data. Apache Spark has emerged as a leading framework for Big Data processing and analytics due to its speed, ease of use, and versatility. In this assignment, we will explore the fundamentals of Apache Spark and its application in various aspects of Big Data Analytics. **Understanding Apache Spark** Apache Spark is an open-source distributed computing framework designed for large-scale data processing. It provides a unified platform for batch processing, real-time streaming, machine learning, and graph processing, making it suitable for a wide range of Big Data analytics tasks. Key features of Apache Spark include: 1. **Speed**: Spark offers in-memory computation, which significantly accelerates data processing compared to traditional disk-based systems like Hado
Typology: Study Guides, Projects, Research
1 / 2
This page cannot be seen from the preview
Don't miss anything!


Cairo University Faculty of Computers and Artificial Intelligence Managing and Modelling Big Data (202 3 /202 4 )
Dataset – Wikimedia Project: The Wikimedia Foundation supports hundreds of thousands of people around the world in creating the largest free knowledge projects in history. The work of volunteers helps millions of people around the globe discover information, contribute knowledge, and share it with others no matter their bandwidth. In this task you are going to explore the page views of Wikimedia projects. Download the page view statistics generated between 0- 1 am on Jan 1, 2016 from here. Each line, delimited by a white space, contains the statistics for one Wikimedia page. The schema looks as follows: Field Meaning Project code The project identifier for each page. Page title A string containing the title of the page. Page hits Number of requests on the specific hour. Page size Size of the page Develop spark application in any programming language that implements the below functions once using map-reduce paradigm in spark and once using spark loops and compare their performance in terms of time. You must also create a document includes all the results of each query:
Cairo University Faculty of Computers and Artificial Intelligence Managing and Modelling Big Data (202 3 /202 4 ) Important Notes: