Self Study

Big Data Fundamentals

This course introduces the essential concepts and technologies behind big data, a field that focuses on the analysis, processing, and management of large data sets. Students will explore the foundational principles of big data, including data storage, processing frameworks, and analysis techniques. The course covers popular platforms and tools such as Hadoop, Spark, and NoSQL databases, providing practical knowledge on how to handle big data challenges. By the end of this course, participants will understand the key aspects of big data ecosystems and be prepared to apply this knowledge in real-world data analytics projects.

Module 1: Introduction to Big Data

Module 2: Big Data Technologies

Module 3: Data Analysis and Visualization

Module 4: Big Data Storage and Processing

Module 5: Big Data in Practice

Module 6: Vagrant and VirtualBox

Module 7: Install Hadoop On VBox Using Vagrant

Module 8: HDFS Checking

Module 9: Copy File To HDFS

Module 10: HDFS Copy And Remove Files

Module 11: Hadoop Cheat Sheet

Module 12: Structured Data VS Unstructured Data

Module 13: What Is CSV File?

Module 14: Service Ports Cheat Sheet

Module 15: What Is Hue?

Module 16: Getting Started With Hive

Module 17: Hive Create Table

Module 18: Handle Quoted CSV In Hive

Module 19: Partitioning Tables

Module 20: Hive Select Statement

Module 21: Hive Aggregation Functions

Module 22: Hive Filtering Results WHERE

Module 23: Hive Filtering Results HAVING

Module 24: Hive Filtering Results LIKE

Module 25: Hive SQL JOIN

Module 26: Hive JOIN Joining Multiple Tables

Module 27: Manipulating Data

Module 28: Hive String Functions

Module 29: Hive SQL Math Functions

Module 30: Hive SQL Date Functions

Module 31: Hive SQL Conditional Functions