DSA7002 WRIT1 Big Data Technologies Assessment Brief 2024-25

The DSA7002 WRIT1 Big Data Technologies Assessment Brief 2024-25 invites students to investigate the revolutionary opportunities offered by big data tools and frameworks in solving the existing world data problems.

This module addresses the issues of the use and implementation of these technologies such as Hadoop, Spark and cloud-based platforms for processing and analysis of large scale datasets. The course helps to make efficient organization of data, searching, processing, and analysis.

In DSA7002 WRIT1, students learn how to practically apply decision-making, critical evaluation, and the application of big data solutions to prepare them for jobs pre-careers in data science and analytics. Keyword DSA7002 WRIT1 highlights the assessment’s purpose of giving students the latest knowledge in the fast changing area of big data technologies.

In DSA7002 WRIT1 students are required to develop comprehensive written report that demonstrates the ability to select and defend suitable big data technologies to a specific business or research problem.DSA7002 WRIT1 Big Data Technologies Assessment Brief 2024-25

The assessment demands assessing the strengths and limitations of the tools, which are the Apache Kafka, NoSQL databases or machine learning frameworks addressing scalability, security and ethical issues.

Students have to integrate academic literature and industry case studies to support their arguments to align them with such current trends as AI-driven analytics or the open table formats, such as Apache Iceberg.

Completion of DSA7002 WRIT1 equips learners with skill set in designing data driven strategies for success in professions demanding advanced big data knowledge. DSA7002 WRIT1 Big Data Technologies Assessment Brief 2024-25