The Hadoop Sandbox The Playground for the Future of Your Career

Slides:



Advertisements
Similar presentations
Large Scale Computing Systems
Advertisements

John Lenhart.  Data stores are growing by 50% each year, and that rate of increase is accelerating [1]  In 2010, we crossed the barrier of the zettabyte.
 Need for a new processing platform (BigData)  Origin of Hadoop  What is Hadoop & what it is not ?  Hadoop architecture  Hadoop components (Common/HDFS/MapReduce)
Undergraduate Poster Presentation Match 31, 2015 Department of CSE, BUET, Dhaka, Bangladesh Wireless Sensor Network Integretion With Cloud Computing H.M.A.
This presentation was scheduled to be delivered by Brian Mitchell, Lead Architect, Microsoft Big Data COE Follow him Contact him.
Data Mining on the Web via Cloud Computing COMS E6125 Web Enhanced Information Management Presented By Hemanth Murthy.
A Brief Overview by Aditya Dutt March 18 th ’ Aditya Inc.
Research on cloud computing application in the peer-to-peer based video-on-demand systems Speaker : 吳靖緯 MA0G rd International Workshop.
Software Architecture
CS525: Special Topics in DBs Large-Scale Data Management Hadoop/MapReduce Computing Paradigm Spring 2013 WPI, Mohamed Eltabakh 1.
W HAT IS H ADOOP ? Hadoop is an open-source software framework for storing and processing big data in a distributed fashion on large clusters of commodity.
Hadoop/MapReduce Computing Paradigm 1 Shirish Agale.
Introduction to Hadoop and HDFS
1 Intern Project Presentation Connor Richardson Big Data August 4, 2015.
Hadoop Hardware Infrastructure considerations ©2013 OpalSoft Big Data.
Overview of Cloud Computing Sven Rosvall ACCU
+ Big Data IST210 Class Lecture. + Big Data Summary by EMC Corporation ( More videos that.
Windows Azure. Azure Application platform for the public cloud. Windows Azure is an operating system You can: – build a web application that runs.
1 Melanie Alexander. Agenda Define Big Data Trends Business Value Challenges What to consider Supplier Negotiation Contract Negotiation Summary 2.
Map-Reduce Big Data, Map-Reduce, Apache Hadoop SoftUni Team Technical Trainers Software University
CS525: Big Data Analytics MapReduce Computing Paradigm & Apache Hadoop Open Source Fall 2013 Elke A. Rundensteiner 1.
Apache Hadoop on the Open Cloud David Dobbins Nirmal Ranganathan.
Hadoop/MapReduce Computing Paradigm 1 CS525: Special Topics in DBs Large-Scale Data Management Presented By Kelly Technologies
Learn Hadoop and Big Data Technologies. Hadoop  An Open source framework that stores and processes Big Data in distributed manner on a large groups of.
INTRODUCTION TO HADOOP. OUTLINE  What is Hadoop  The core of Hadoop  Structure of Hadoop Distributed File System  Structure of MapReduce Framework.
1. Definition: Big data applies to the information that cant be processed or analyzed using traditional processes or tools. Case study:
By: Joel Dominic and Carroll Wongchote 4/18/2012.
BIG DATA/ Hadoop Interview Questions.
What is it and why it matters? Hadoop. What Is Hadoop? Hadoop is an open-source software framework for storing data and running applications on clusters.
Apache Hadoop on Windows Azure Avkash Chauhan
Abstract MarkLogic Database – Only Enterprise NoSQL DB Aashi Rastogi, Sanket V. Patel Department of Computer Science University of Bridgeport, Bridgeport,
 There is a growing trend in the use of digital media compared to more traditional formats  The Apple iTunes Store SM became the #1 music retailer in.
BI 202 Data in the Cloud Creating SharePoint 2013 BI Solutions using Azure 6/20/2014 SharePoint Fest NYC.
Hadoop Introduction. Audience Introduction of students – Name – Years of experience – Background – Do you know Java? – Do you know linux? – Any exposure.
A Tutorial on Hadoop Cloud Computing : Future Trends.
Hadoop Javad Azimi May What is Hadoop? Software platform that lets one easily write and run applications that process vast amounts of data. It includes:
MapReduce Compilers-Apache Pig
Organizations Are Embracing New Opportunities
SAS users meeting in Halifax
MapReduce Compiler RHadoop
About Hadoop Hadoop was one of the first popular open source big data technologies. It is a scalable fault-tolerant system for processing large datasets.
Hadoop Aakash Kag What Why How 1.
Introduction to Distributed Platforms
By Chris immanuel, Heym Kumar, Sai janani, Susmitha
INTRODUCTION TO BIGDATA & HADOOP
An Open Source Project Commonly Used for Processing Big Data Sets
How to download, configure and run a mapReduce program In a cloudera VM Presented By: Mehakdeep Singh Amrit Singh Chaggar Ranjodh Singh.
Zhangxi Lin, The Rawls College,
Hadoop MapReduce Framework
Chapter 14 Big Data Analytics and NoSQL
Introduction to MapReduce and Hadoop
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Fuel Cell Market size worth $25.5bn by 2024Low Power Wide Area Network.
Hadoop Market
Exploring Azure Event Grid
Ministry of Higher Education
Scalable SoftNAS Cloud Protects Customers’ Mission-Critical Data in the Cloud with a Highly Available, Flexible Solution for Microsoft Azure MICROSOFT.
Massively Parallel Processing in Azure Comparing Hadoop and SQL based MPP architectures in the cloud Josh Sivey SQL Saturday #597 | Phoenix.
DATABASE SYSTEM UNIT I.
Dell Data Protection | Rapid Recovery: Simple, Quick, Configurable, and Affordable Cloud-Based Backup, Retention, and Archiving Powered by Microsoft Azure.
Keep Your Digital Media Assets Safe and Save Time by Choosing ImageVault to be Your Digital Asset Management Solution, Hosted in Microsoft Azure Partner.
Overview of big data tools
Big Data Young Lee BUS 550.
TIM TAYLOR AND JOSH NEEDHAM
Zoie Barrett and Brian Lam
Big Data Analysis in Digital Marketing
AGENDA Buzz word. AGENDA Buzz word What is BIG DATA ? Big Data refers to massive, often unstructured data that is beyond the processing capabilities.
Moving your on-prem data warehouse to cloud. What are your options?
Analysis of Structured or Semi-structured Data on a Hadoop Cluster
Copyright © JanBask Training. All rights reserved Get Started with Hadoop Hive HiveQL Languages.
Top Reasons Why Hardware and Networking Training In Demand Presented By:- Abhinav Shashtri.
Presentation transcript:

The Hadoop Sandbox The Playground for the Future of Your Career By Lee Harrington

Betting On the Future

Betting On the Future

Why Learn Hadoop/Hive Tremendous future growth Lucrative Career Opportunities Broad scope Attractive salary More future investments Source: https://medium.com/@vaishnavi.techjurno/5-reasons-why-you-should-learn-hadoop-in-2017-acdc369df1f0 More Info: https://www.dezyre.com/article/5-reasons-to-learn-hadoop/106

What Is Hadoop Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Source: https://www.sas.com/en_us/insights/big-data/hadoop.html

What Is Hadoop Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that's a key consideration. Computing power. Hadoop's distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have. Fault tolerance. Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. Multiple copies of all data are stored automatically. Flexibility. Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data like text, images and videos. Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data. Scalability. You can easily grow your system to handle more data simply by adding nodes. Little administration is required. Source: https://www.sas.com/en_us/insights/big-data/hadoop.html

To Learn You Need an Environment The Hadoop Sandbox Local VM’s scripted with Vagrant Cloud VM scripted with Vagrant

Udemy Video Training Learn Big Data: The Complete Hadoop Ecosystem Masterclass Vagrant Up! Comprehensive Development System Automation

Software To Download VirtualBox: http://www.virtualbox.org Vagrant: http://www.vagrantup.com Git: https://git-scm.com/download Class repository:  https://github.com/wardviaene/hadoop-ops-course/archive/master.zip

Using Vagrant for Local Install Live Demo

The Hortonworks Hadoop Sandbox Download from here All in one solution Needs 8gig ram Definitely the easiest way to start Is not a cluster Hortonworks Tutorial here Live Demo

Using Vagrant for Cloud Install

Install on Digital Ocean Videos How to Install Hadoop on DO video: https://youtu.be/YZv8D35lCAo How to Install Hive from Ambari: https://youtu.be/DBydOhfqdZ0

Fini Github repository to follow