1 Intern Project Presentation Connor Richardson Big Data August 4, 2015.

Slides:



Advertisements
Similar presentations
MAP REDUCE PROGRAMMING Dr G Sudha Sadasivam. Map - reduce sort/merge based distributed processing Best for batch- oriented processing Sort/merge is primitive.
Advertisements

Dan Bassett, Jonathan Canfield December 13, 2011.
Efficient, Productive, Time-Saving Solutions TRANSACTION AUDITING Part of our RISK MANAGEMENT SUITE FOR LAWSON S3 Thank you for taking the time to view.
Database Software File Management Systems Database Management Systems.
Boyer Dynamics SL Client Event WELCOME!. Introductions Boyer Team Microsoft Clients Partners.
Securing Enterprise Applications Rich Cole. Agenda Sample Enterprise Architecture Sample Enterprise Architecture Example of how University Apps uses Defense.
Undergraduate Poster Presentation Match 31, 2015 Department of CSE, BUET, Dhaka, Bangladesh Wireless Sensor Network Integretion With Cloud Computing H.M.A.
Better Performance for Big Data Shuya Zhang; Shyam Sundar Somasundaram [10/03/13] 1 [1] Bhasker Allene, Marco Righini, “Better Performance for Big Data”
U.S. Department of the Interior U.S. Geological Survey David V. Hill, Information Dynamics, Contractor to USGS/EROS 12/08/2011 Satellite Image Processing.
A Brief Overview by Aditya Dutt March 18 th ’ Aditya Inc.
USING HADOOP & HBASE TO BUILD CONTENT RELEVANCE & PERSONALIZATION Tools to build your big data application Ameya Kanitkar.
1 Keith Vicens, Managing Consultant CRM Housing Solution Extending Your Case Management Capabilities.
Cloud Distributed Computing Environment Content of this lecture is primarily from the book “Hadoop, The Definite Guide 2/e)
MapReduce April 2012 Extract from various presentations: Sudarshan, Chungnam, Teradata Aster, …
CS525: Special Topics in DBs Large-Scale Data Management Hadoop/MapReduce Computing Paradigm Spring 2013 WPI, Mohamed Eltabakh 1.
MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat.
COMP 2903 A34s – Google and the Wisdom of Clouds Danny Silver JSOCS, Acadia University.
Hadoop 2 cluster with Oracle Solaris Zones, ZFS and unified archives Orgad Kimchi - Principal Software Engineer September 29, 2014 Oracle Confidential.
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.
Introduction to Apache Hadoop Zibo Wang. Introduction  What is Apache Hadoop?  Apache Hadoop is a software framework which provides open source libraries.
Hadoop/MapReduce Computing Paradigm 1 Shirish Agale.
Introduction to Hadoop and HDFS
What is Big Data? Bid Data extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially.
Hosted File Backup Ensure that your data is kept safe with our cloud based data back-up service.
CSE 548 Advanced Computer Network Security Document Search in MobiCloud using Hadoop Framework Sayan Cole Jaya Chakladar Group No: 1.
Chapter 5 McGraw-Hill/Irwin Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. Enterprise Architectures.
Introduction to Hbase. Agenda  What is Hbase  About RDBMS  Overview of Hbase  Why Hbase instead of RDBMS  Architecture of Hbase  Hbase interface.
Talentlink Reporting This should be the first page of your presentation.
1 Melanie Alexander. Agenda Define Big Data Trends Business Value Challenges What to consider Supplier Negotiation Contract Negotiation Summary 2.
CS525: Big Data Analytics MapReduce Computing Paradigm & Apache Hadoop Open Source Fall 2013 Elke A. Rundensteiner 1.
MongoDB: What, why, when. Solutions Architect, MongoDB Inc. Massimo Brignoli #mongodb.
Copyright © 2015, SAS Institute Inc. All rights reserved. THE ELEPHANT IN THE ROOM SAS & HADOOP.
Hadoop/MapReduce Computing Paradigm 1 CS525: Special Topics in DBs Large-Scale Data Management Presented By Kelly Technologies
web browsing Manual.
{ Tanya Chaturvedi MBA(ISM) Hadoop is a software framework for distributed processing of large datasets across large clusters of computers.
Cloud Distributed Computing Environment Hadoop. Hadoop is an open-source software system that provides a distributed computing environment on cloud (data.
1 HBASE – THE SCALABLE DATA STORE An Introduction to HBase XLDB Europe Workshop 2013: CERN, Geneva James Kinley EMEA Solutions Architect, Cloudera.
PARALLEL AND DISTRIBUTED PROGRAMMING MODELS U. Jhashuva 1 Asst. Prof Dept. of CSE om.
INTRODUCTION TO HADOOP. OUTLINE  What is Hadoop  The core of Hadoop  Structure of Hadoop Distributed File System  Structure of MapReduce Framework.
VYTAUTAS SIMANAITIS Cloud computing © Kaunas 2013, KTU.
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
BIG DATA BIGDATA, collection of large and complex data sets difficult to process using on-hand database tools.
COMP7330/7336 Advanced Parallel and Distributed Computing MapReduce - Introduction Dr. Xiao Qin Auburn University
Big Data Analytics Hadoop is here to Stay!. What is Big Data? Large databases which are hard to dealComplex and Unstructured dataNeed for Parallel ProcessingHigh.
Microsoft Ignite /28/2017 6:07 PM
BI 202 Data in the Cloud Creating SharePoint 2013 BI Solutions using Azure 6/20/2014 SharePoint Fest NYC.
Hadoop is a platform that enables business to: Process Big Data at reasonable costs Provides fault tolerance (continue operating in the event of failure)
BUS 210 Week 8 CheckPoint Hardware and Software Components Appendix E ​ Check this A+ tutorial guideline at
Cloud-Computing Cloud Web-Blog Software Application Download Software.
Big Data, Data Mining, Tools
Organizations Are Embracing New Opportunities
SAS users meeting in Halifax
MapReduce Compiler RHadoop
Hadoop Aakash Kag What Why How 1.
Introduction to Distributed Platforms
CS122B: Projects in Databases and Web Applications Winter 2017
Hadoop MapReduce Framework
Activity List the human resources needed on your project
The Hadoop Sandbox The Playground for the Future of Your Career
Financial calculators on Web
Android App Development Outsourcing. Table Of Contents 1.Company Overview 2. Benefits of Android Development 3.Certifications.
Hadoop Basics.
Big Data Young Lee BUS 550.
Zoie Barrett and Brian Lam
Dashboard in an Hour Using Power BI
Copyright © JanBask Training. All rights reserved Get Started with Hadoop Hive HiveQL Languages.
Presentation transcript:

1 Intern Project Presentation Connor Richardson Big Data August 4, 2015

BIG DATA 2 Agenda Hadoop Project Overview Ranger Web App Internship Experience

BIG DATA 3 What is Hadoop? an open-source software framework for storing massive amounts of data and running applications on clusters of commodity hardware. Benefits for Hadoop: Computing Power Flexibility Fault Tolerance Low Cost Scalability

BIG DATA 4 Project Objectives Create a portal from Ranger for M&E Security and BI group to see Audit Information Create process to organize the information by dates Design method to sort column information Create process to export the table in the web app to Excel Generate automatic with audit results weekly to be reviewed by security group

BIG DATA 5

6 Internship Experience Helping People Love Where They Live