Introduction to Hadoop basics in 30 mins

Basic Hadoop concepts before you start learning Azure HDInsight
Rating: 4.4 out of 5 (84 ratings)
3,131 students
English
English [Auto]
Introduction to Hadoop basics in 30 mins
Rating: 4.4 out of 5 (84 ratings)
3,131 students
Hadoop - Basic concepts and understanding
HDFS, Map Reduce and YARN concepts

Requirements

  • Database basic concepts

Description

Important Note:

Please note that this is NOT a full course but a single module of the full-length course, and intended to cover very basic fundamental concepts for absolute beginners so that they can speed up with Azure Synapse SQL Data Warehouse course.

This module is NOT GOOD for you if:

  • You are already experienced in this technology

  • You are looking for an intermediate or advance concepts

  • You are looking for practical examples or demo

This module is GOOD for you if:

  • You want to understand the basic fundamental concepts of this technology.

This is a free module to help others. If you are not in the intended audience, I request you to please feel free to unenroll.

Where I can find a full-length course?

Please look at the bonus lecture in the end.


What will students learn in this course?

  • Hadoop basic concepts (Crash course to speed up with Azure HDInsight)

Level

  • Beginners

Language

  • English

  • If you are not comfortable in English, please do not take course, captions are not good enough to understand course.

Target Students

  • Database and BI developers

  • College students

  • Anyone who wants to start learning Big Data

Prerequisites

  • Basic Database concepts


Course In Detail

Data Warehouse Crash Course

  • In this module, you will learn, what was shortcomings of our traditional Monolithic systems.

  • you will learn how Distributed system is different from Monolithic systems

  • you will learn about Hadoop fundamental understanding and how it is different from RDBMS

  • you will learn 3 main building blocks or components of Hadoop, like the HDFS or Hadoop Distributed File System, the MapReduce programming model for processing and the resource negotiator YARN for cluster management.


[Tags]

Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse, SSIS

Who this course is for:

  • Database Developer
  • College Students
  • Anyone interested to learn Basic Hadoop concept

Course content

2 sections • 12 lectures • 37m total length
  • Is this course good for me? Set expectation
    00:31
  • Hadoop Overview
    01:07
  • Why we need distribute computing?
    04:35
  • Two ways to build system
    06:08
  • Introducing Hadoop
    06:25
  • Hadoop vs RDBMS
    04:20
  • Hadoop Ecosystem
    04:55
  • Hadoop Summary
    00:37

Instructor

Azure Data Architect || Author || Adviser
Eshant Garg
  • 4.5 Instructor Rating
  • 4,681 Reviews
  • 33,954 Students
  • 12 Courses

13 years of extensive professional experience with expertise in Microsoft Database and Business Intelligence Solutions, Advanced Analytics, Reporting and Azure cloud computing technologies

CERTIFICATIONS

- DP-200: Implementing an Azure Data Solution
- DP-201: Designing an Azure Data Solution
- Microsoft Certified Technology specialist (MCTS) – SQL Server Database development
- Information Technology Infrastructure Library (ITIL V3) Certified

SPECIALITY

Azure : Data Lake, Data Factory, Synapse Analytics (DW), PolyBase, Stream Analytics & Storage

Big Data Tech : HDInsgiht, Databricks, CosmosDB, Hadoop, Spark, PySpark, Hive, Sqoop

Database versions : Microsoft SQL Server 2005-2016, NoSQL

Languages : T-SQL, USQL, Python, MDX, DAX, PySpark

BI Tools : SSRS, SSIS, SSAS, Power BI


I have been messing around with data for more than a decade now, I love to work on Database internals, performance tuning, and optimization, Database design, modeling, and implementation especially using Microsoft SQL Server and Azure database and analytics technologies.

As a developer and architect, I have worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies. These experiences provided opportunities to see varied implementations, troubleshoot performance-related problems, give guidance on design, and provide consultation on optimization, availability, and recoverability.

I helped in End to End Implementations of many database projects, providing team leadership and project management, requirements gathering, specification documentation, functional/technical design, Data modeling & solution architecture.

Outside of the technical world, I love yoga and meditation. I am a student of ancient yogic text Bhagavad Gita and love to discuss and practice philosophical teachings.