Introduction To Big Data by Big Data Trunk

Big Data

What you’ll learn
Introduction To Big Data
Understand the History and background of Big data and Hadoop
Describe the Big Data landscape including examples of real world big data problems
Explain the 5 V’s of Big Data (volume, velocity, variety, veracity, and value
Understand the foundational principles that have made Big Data so successful

Requirements
Basic Programming knowledge, SQL and Data knowledge preferred

Description
Overview : The Introduction to Big Data course is the first stop in the Big Data curriculum series coming up at Stanford. It will help you get started with the background and introduction of the history of the Big Data.Description:The ‘Introduction to Big Data’ course is your gateway to the dynamic world of Big Data and Spark. Dive into the history and fundamentals of Big Data, gaining insights into Big Data Ecosystem technologies, including HDFS, MapReduce, Sqoop, Flume, Hive, Pig, Mahout for Machine Learning, R Connector, Ambari, Zookeeper, Oozie, and No-SQL tools like HBase. This course offers an in-depth understanding of the Big Data ecosystem, both pre and post Apache Spark era. Learn the core fundamentals and architecture of Spark and put your knowledge into practice on the Apache Spark Databricks Cloud. Get started on your Big Data journey.Learning Outcome : In this Course you’ll get an introduction to working with Big Data Ecosystem technologies (HDFS, MapReduce, Sqoop, Flume, Hive, Pig, Mahout (Machine Learning), R Connector, Ambari, Zookeeper, Oozie and No-SQL like HBase) for Big Data scenarios.Understand the History and background of Big data and HadoopDescribe the Big Data landscape including examples of real world big data problemsExplain the 5 V’s of Big Data (volume, velocity, variety, veracity, and value)

Overview
Section 1: Introduction

Lecture 1 Data Types

Lecture 2 V Views of Big Data

Lecture 3 History of Hadoop

Lecture 4 What is Hadoop

Lecture 5 Hadoop Eco System & Hadoop Components

Lecture 6 Big Data Ecosystem

Lecture 7 Big Data Storage

Lecture 8 Big Data Flavor

Lecture 9 Big Data on Cloud

Lecture 10 Spark EssentialIn (Challenges with Mapreduce)

Lecture 11 What is Apache Spark

Lecture 12 Big Data after Spark Ecosystem

Lecture 13 Spark Feature & Spark Components

Lecture 14 Spark Landscape (Spark in Databricks)

This course is designed for anyone willing to develop a foundation for Big Data.