Full Stack Corporate Training Program for Big Data
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Course Overview
This comprehensive course is designed to provide corporate professionals with an in-depth understanding of big data and its applications. It covers various aspects of big data including data storage, processing, analysis, and visualization using various tools and technologies. The course includes hands-on lab exercises and a final project to help participants apply the concepts and skills learned in the course.
At the end of the training, participants will be able to:
Pre-requisite
Duration
12 days
Course Outline
- What is Big Data?
Characteristics of Big Data
Applications of Big Data
Overview of the course
Introduction to lab environment and tools
- Introduction to Relational Databases
SQL basics and advanced queries
Introduction to NoSQL databases
Comparison of Relational and NoSQL databases
Hands-on lab exercises using SQL and NoSQL databases
- Introduction to Hadoop Distributed File System (HDFS)
Hadoop Architecture and Components
Hadoop Installation and Configuration
Hands-on lab exercises using Hadoop and HDFS
- Relational Databases (Oracle, SQL Server, MySQL, PostgreSQL, etc.): These databases store data
in tables with a pre-defined schema and support SQL for querying and manipulating data.
NoSQL Databases (MongoDB, Cassandra, Couchbase, etc.): These databases do not use the
traditional table-based schema and instead store data as documents, key-value pairs, or graphs. - Hadoop Distributed File System (HDFS): This is a distributed file system that provides scalable
and reliable storage for Big Data.
Apache Hive: This is a data warehousing tool that allows querying and analysis of large datasets
stored in Hadoop.
Apache Spark: This is a distributed computing framework that provides in-memory processing
for large datasets.
Tableau: This is a data visualization tool that allows creating interactive and visually appealing
dashboards for Big Data.
- Introduction to Apache Spark
Spark Architecture and Components
Spark Installation and Configuration
Hands-on lab exercises using Spark
- Introduction to Apache Hive
Hive Architecture and Components
Hive Installation and Configuration
Hands-on lab exercises using Hive
- Introduction to Tableau
Tableau Architecture and Components
Tableau Installation and Configuration
Hands-on lab exercises using Tableau
- Introduction to HBase and its use cases
Introduction to Apache Kafka and its use cases
Introduction to Apache Storm and its use cases
Hands-on lab exercises using HBase, Kafka and Storm
- Introduction to Predictive Analytics
Introduction to Machine Learning Algorithms
Exploratory Data Analysis
Hands-on lab exercises using Machine Learning tools
- Introduction to Data Mining
Techniques of Data Mining
Data Preprocessing and Cleaning
Hands-on lab exercises using Data Mining tools
- Understanding the project requirements
Developing a project plan
Implementation of the project
Presentation of the project
Participants will work in groups to implement a project using the tools and technologies learned in the course. The project will involve collecting, storing, processing, analyzing
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