{"repo":"Amey-Thakur/BIG-DATA-ANALYTICS-AND-COMPUTATIONAL-LAB-I","free":true,"listed":false,"github":"https://github.com/Amey-Thakur/BIG-DATA-ANALYTICS-AND-COMPUTATIONAL-LAB-I","clone":"git clone https://github.com/Amey-Thakur/BIG-DATA-ANALYTICS-AND-COMPUTATIONAL-LAB-I.git","description":"CSDLO7032: Big Data Analytics [BDA] & CSL704: Computational Lab - I | BE Semester VII | Computer Engineering","language":"Jupyter Notebook","stars":12,"topics":["analytics","computer-engineering","engineering","computer-science","big-data-analytics","big-data","textbooks","amey","ameythakur","megasatish"],"license":"CC-BY-4.0","category":"analytics","readme_excerpt":"# Big Data Analytics and Computational Lab I ### CSDLO7032 & CSL704 · Semester VII · Computer Engineering A comprehensive academic resource for Big Data Analytics (BDA) and Computational Lab - I (CL-I), featuring Hadoop ecosystem experiments, NoSQL databases, MapReduce implementations, and data mining techniques. --- Overview &nbsp;·&nbsp; Contents &nbsp;·&nbsp; Reference Books &nbsp;·&nbsp; Personal Preparation &nbsp;·&nbsp; Assignments &nbsp;·&nbsp; Classwork &nbsp;·&nbsp; Quizzes &nbsp;·&nbsp; Laboratory &nbsp;·&nbsp; Mini-Project &nbsp;·&nbsp; Internal Assessment Test &nbsp;·&nbsp; Semester Exam &nbsp;·&nbsp; Question Papers &nbsp;·&nbsp; Submission Report &nbsp;·&nbsp; Syllabus &nbsp;·&nbsp; Usage Guidelines &nbsp;·&nbsp; License &nbsp;·&nbsp; About &nbsp;·&nbsp; Acknowledgments --- Overview Big Data Analytics (CSDLO7032) and Computational Lab - I (CSL704) are core subjects in the Final Year (Semester VII) of the Computer Engineering curriculum at the University of Mumbai. These courses provide foundational knowledge of Big Data technologies, distributed computing frameworks, and data analytics methodologies. Course Topics The curriculum encompasses several key domains in Big Data Analytics (BDA): - Big Data Architectures : Hadoop Ecosystem (HDFS, YARN), MapReduce programming model. - NoSQL Databases : Key-value stores, Column-family stores, Document databases (MongoDB), Graph databases. - Data Mining : Frequent itemset mining (Apriori, PCY), Clustering (K-Means), Classi","default_branch":null,"files":null,"tree":[],"storefront":"/r/Amey-Thakur","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Amey-Thakur/BIG-DATA-ANALYTICS-AND-COMPUTATIONAL-LAB-I/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}