Data Solutions with Hadoop
|
|
- Jocelyn Hudson
- 8 years ago
- Views:
Transcription
1 Data Solutions with Hadoop Reducing Costs using Open Source Software Aaryan Gupta Darshil Shah Mark Williams Contact: Aaryan Gupta Darshil Shah Mark Williams November 16, 2014
2 CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION.. 4 PROBLEMS FACING CURRENT SYSTEM 4 ADVANTAGES OF HADOOP 5 COST BENEFIT ANALYSIS.. 6 CONCLUSION.. 7 REFERENCES. 8 2
3 EXECUTIVE SUMMARY With the advent of the internet and subsequent rise of online banking, IT infrastructure has become the backbone of the modern finance and banking systems. Deutsche Bank s current data warehouses are fragmented across many different legacy systems that have been patch worked together over the past twenty years (du Preez, 2013). The amount of trading, operations, and finance data being created is expected to keep growing, and the legacy systems are struggling to handle the increased volume. It is also increasingly important to be able to generate reports for risk assessments and audits using the most up to date information possible (Information for Success, 2012). Updating these systems in the near future will be crucial if Deutsche Bank is going to remain competitive in the era of big data. Hadoop is open source data management software that increases data processing capacity without having to convert data from legacy systems (Hadoop Deployment, 2013). Switching to Hadoop will lead to reduced costs of database infrastructure investments in the future and create a system that will remain scalable in the long-term (Kurth & Wendt, 2013). 3
4 INTRODUCTION Currently, Deutsche Bank holds the largest share of the foreign exchange market at 20.96% of all transactions (FX Poll Results, 2009). The enormous amount of data generated from these transactions needs to be stored in an efficient manner while still being readily accessible for analysis. Our current legacy system runs on large mainframe servers that are very costly to expand and are barely able to keep up with the current level of data being generated (du Preez, 2013). We can continue to add servers to our legacy system, but this does not address the underlying issue of the lack of scalability that exists in our current system. Many Fortune 500 companies are beginning to adopt the open source software Hadoop as their data-warehousing platform (Information for Success, 2012). Hadoop creates a platform that is simpler and cheaper to expand and much more cost effective for daily operations. Breaking up the data into smaller sizes enables the system to distribute the data across cheaper commodity servers. Hadoop also creates a much more flexible system that is able to handle different types of data while storing them efficiently and enabling the system to handle more fault tolerance because of built-in redundancy (Hadoop for Enterprise). Moving from the current legacy system to Hadoop would be a huge step forward for Deutsche Bank in data warehousing and processing while reducing long-term costs. 4
5 ADVANTAGES OF HADOOP There are many advantages of using Hadoop, but the four most relevant to Deutsche Bank s needs are its cost effectiveness, scalability, flexibility, and fault tolerance. Cost Effective - With the current system, any upgrades require a large investment and a lot of time to implement. Hadoop clusters are inexpensive because they run on open source software that can be downloaded from the Apache Hadoop distribution for free. Hadoop cluster can be built using commodity servers, which removes the dependency on large server hardware and further reduces costs. It also enables the use of parallel computing, which results in a decrease of the cost per terabyte of processing data (Hadoop for Enterprise). Scalable - The size of the server clusters are not an issue now, but we can add any number of nodes independent of the type of data we have. This increase in cluster processing power helps retrieve the data more efficiently while reducing the cost of further expansion as shown in Figure 1 (Hadoop for Enterprise). Figure 1 (Integrating Hadoop) Flexible - Hadoop is able to work with any schema, meaning it can handle any kind of data, structured or unstructured, from any source (Norris, 2013). The data can be joined and aggregated in many ways, making financial analysis and audits easier. This means Deutsche Bank s servers will be able to deal with 5
6 a variety of data, from operations to financial and trading data all on a single system that is designed to handle various data types (Hadoop for Enterprise). Fault Tolerant - Hadoop works on parallel processing. It replicates data to other nodes in the cluster. When any node in the cluster fails, the system will automatically redirect its work to another node and continue its processing without any delay, so there would be no data loss due to node failure (Nemschoff, 2013). 6
7 CONCLUSION With the current problems facing Deutsche Bank s data infrastructure, it is critical to upgrade to a better and more efficient methodology. Hadoop provides a solution to integrate data scattered over multiple servers into a single cluster and organizes the data effectively by providing consistent structure. In addition to the multiple instances where data has been lost from servers, Hadoop solves this issue by providing automatic redundancy. Parallel computing enables saving on various different nodes, which leads to data protection against hardware failures. The investment needed is minimal since Hadoop is open source. Compared to the high data warehousing costs the company is facing, Hadoop is capable of reducing server operation costs by 70%. The adoption of Hadoop as Deutsche Bank s data warehouse software will reduce costs in the short term as well a reducing the costs of further server expansions due to its scalability. Switching from our current legacy systems will also reduce the amount of time spent auditing and generating risk reports. These factors enable our employees to be more productive while reducing the long-term costs of infrastructure expansion and operation. 7
8 REFERENCES Dasteel, J. (2012, June 1). Information for Success. Retrieved November 16, 2014, from du Preez, D. (2013, February 12). Deutsche Bank: Big data plans held back by legacy systems. Retrieved November 16, 2014, from Hadoop for Enterprise with IBM. (n.d.). Retrieved November 16, 2014, from Integrating Hadoop into your Enterprise IT Environment. (2014, July 11). Retrieved November 16, 2014, from Kurth, S., & Wendt, M. (2013). Hadoop Deployment Comparison Study. Retrieved November 16, 2014, from Nemschoff, M. (2013, December 20). Big Data: 5 Major Advantages of Hadoop. Retrieved November 16, 2014, from Norris, J. (2013). Saving Millions through Data Warehouse Offloading to Hadoop. Retrieved November 16, 2014, from knorris_saving_missions_hadoop.pdf FX poll 2009: Euromoney s 31st annual FX survey. (2009, May 6). Retrieved November 16, 2014, from 8
Hadoop. MPDL-Frühstück 9. Dezember 2013 MPDL INTERN
Hadoop MPDL-Frühstück 9. Dezember 2013 MPDL INTERN Understanding Hadoop Understanding Hadoop What's Hadoop about? Apache Hadoop project (started 2008) downloadable open-source software library (current
More informationSpeak<geek> Tech Brief. RichRelevance Distributed Computing: creating a scalable, reliable infrastructure
3 Speak Tech Brief RichRelevance Distributed Computing: creating a scalable, reliable infrastructure Overview Scaling a large database is not an overnight process, so it s difficult to plan and implement
More informationAnalytics in the Cloud. Peter Sirota, GM Elastic MapReduce
Analytics in the Cloud Peter Sirota, GM Elastic MapReduce Data-Driven Decision Making Data is the new raw material for any business on par with capital, people, and labor. What is Big Data? Terabytes of
More informationINTRODUCTION TO CASSANDRA
INTRODUCTION TO CASSANDRA This ebook provides a high level overview of Cassandra and describes some of its key strengths and applications. WHAT IS CASSANDRA? Apache Cassandra is a high performance, open
More informationLarge scale processing using Hadoop. Ján Vaňo
Large scale processing using Hadoop Ján Vaňo What is Hadoop? Software platform that lets one easily write and run applications that process vast amounts of data Includes: MapReduce offline computing engine
More informationBIG DATA SOLUTION DATA SHEET
BIG DATA SOLUTION DATA SHEET Highlight. DATA SHEET HGrid247 BIG DATA SOLUTION Exploring your BIG DATA, get some deeper insight. It is possible! Another approach to access your BIG DATA with the latest
More informationBig Data on Microsoft Platform
Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4
More informationThe evolution of database technology (II) Huibert Aalbers Senior Certified Executive IT Architect
The evolution of database technology (II) Huibert Aalbers Senior Certified Executive IT Architect IT Insight podcast This podcast belongs to the IT Insight series You can subscribe to the podcast through
More informationVirtualizing Apache Hadoop. June, 2012
June, 2012 Table of Contents EXECUTIVE SUMMARY... 3 INTRODUCTION... 3 VIRTUALIZING APACHE HADOOP... 4 INTRODUCTION TO VSPHERE TM... 4 USE CASES AND ADVANTAGES OF VIRTUALIZING HADOOP... 4 MYTHS ABOUT RUNNING
More informationInternational Journal of Innovative Research in Computer and Communication Engineering
FP Tree Algorithm and Approaches in Big Data T.Rathika 1, J.Senthil Murugan 2 Assistant Professor, Department of CSE, SRM University, Ramapuram Campus, Chennai, Tamil Nadu,India 1 Assistant Professor,
More informationBeyond Web Application Log Analysis using Apache TM Hadoop. A Whitepaper by Orzota, Inc.
Beyond Web Application Log Analysis using Apache TM Hadoop A Whitepaper by Orzota, Inc. 1 Web Applications As more and more software moves to a Software as a Service (SaaS) model, the web application has
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK A REVIEW ON HIGH PERFORMANCE DATA STORAGE ARCHITECTURE OF BIGDATA USING HDFS MS.
More informationManaging Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges
Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and
More informationOnX Big Data Reference Architecture
OnX Big Data Reference Architecture Knowledge is Power when it comes to Business Strategy The business landscape of decision-making is converging during a period in which: > Data is considered by most
More informationA Brief Outline on Bigdata Hadoop
A Brief Outline on Bigdata Hadoop Twinkle Gupta 1, Shruti Dixit 2 RGPV, Department of Computer Science and Engineering, Acropolis Institute of Technology and Research, Indore, India Abstract- Bigdata is
More informationHadoop Submitted in partial fulfillment of the requirement for the award of degree of Bachelor of Technology in Computer Science
A Seminar report On Hadoop Submitted in partial fulfillment of the requirement for the award of degree of Bachelor of Technology in Computer Science SUBMITTED TO: www.studymafia.org SUBMITTED BY: www.studymafia.org
More informationChapter 7. Using Hadoop Cluster and MapReduce
Chapter 7 Using Hadoop Cluster and MapReduce Modeling and Prototyping of RMS for QoS Oriented Grid Page 152 7. Using Hadoop Cluster and MapReduce for Big Data Problems The size of the databases used in
More informationHadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh
1 Hadoop: A Framework for Data- Intensive Distributed Computing CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 2 What is Hadoop? Hadoop is a software framework for distributed processing of large datasets
More informationCitusDB Architecture for Real-Time Big Data
CitusDB Architecture for Real-Time Big Data CitusDB Highlights Empowers real-time Big Data using PostgreSQL Scales out PostgreSQL to support up to hundreds of terabytes of data Fast parallel processing
More informationManifest for Big Data Pig, Hive & Jaql
Manifest for Big Data Pig, Hive & Jaql Ajay Chotrani, Priyanka Punjabi, Prachi Ratnani, Rupali Hande Final Year Student, Dept. of Computer Engineering, V.E.S.I.T, Mumbai, India Faculty, Computer Engineering,
More informationWelcome to the unit of Hadoop Fundamentals on Hadoop architecture. I will begin with a terminology review and then cover the major components
Welcome to the unit of Hadoop Fundamentals on Hadoop architecture. I will begin with a terminology review and then cover the major components of Hadoop. We will see what types of nodes can exist in a Hadoop
More informationBIG DATA TRENDS AND TECHNOLOGIES
BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.
More informationHadoop s Entry into the Traditional Analytical DBMS Market. Daniel Abadi Yale University August 3 rd, 2010
Hadoop s Entry into the Traditional Analytical DBMS Market Daniel Abadi Yale University August 3 rd, 2010 Data, Data, Everywhere Data explosion Web 2.0 more user data More devices that sense data More
More informationChapter 10: Scalability
Chapter 10: Scalability Contents Clustering, Load balancing, DNS round robin Introduction Enterprise web portal applications must provide scalability and high availability (HA) for web services in order
More informationAgile Business Intelligence Data Lake Architecture
Agile Business Intelligence Data Lake Architecture TABLE OF CONTENTS Introduction... 2 Data Lake Architecture... 2 Step 1 Extract From Source Data... 5 Step 2 Register And Catalogue Data Sets... 5 Step
More informationMaximizing Hadoop Performance and Storage Capacity with AltraHD TM
Maximizing Hadoop Performance and Storage Capacity with AltraHD TM Executive Summary The explosion of internet data, driven in large part by the growth of more and more powerful mobile devices, has created
More informationA REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, sborkar95@gmail.com Assistant Professor, Information
More informationChapter 11 Map-Reduce, Hadoop, HDFS, Hbase, MongoDB, Apache HIVE, and Related
Chapter 11 Map-Reduce, Hadoop, HDFS, Hbase, MongoDB, Apache HIVE, and Related Summary Xiangzhe Li Nowadays, there are more and more data everyday about everything. For instance, here are some of the astonishing
More informationAlternatives to HIVE SQL in Hadoop File Structure
Alternatives to HIVE SQL in Hadoop File Structure Ms. Arpana Chaturvedi, Ms. Poonam Verma ABSTRACT Trends face ups and lows.in the present scenario the social networking sites have been in the vogue. The
More informationBIG DATA USING HADOOP
+ Breakaway Session By Johnson Iyilade, Ph.D. University of Saskatchewan, Canada 23-July, 2015 BIG DATA USING HADOOP + Outline n Framing the Problem Hadoop Solves n Meet Hadoop n Storage with HDFS n Data
More informationBig Data and Apache Hadoop Adoption:
Expert Reference Series of White Papers Big Data and Apache Hadoop Adoption: Key Challenges and Rewards 1-800-COURSES www.globalknowledge.com Big Data and Apache Hadoop Adoption: Key Challenges and Rewards
More informationBIG DATA IS MESSY PARTNER WITH SCALABLE
BIG DATA IS MESSY PARTNER WITH SCALABLE SCALABLE SYSTEMS HADOOP SOLUTION WHAT IS BIG DATA? Each day human beings create 2.5 quintillion bytes of data. In the last two years alone over 90% of the data on
More informationLecture 32 Big Data. 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop
Lecture 32 Big Data 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop 1 2 Big Data Problems Data explosion Data from users on social
More informationmarlabs driving digital agility WHITEPAPER Big Data and Hadoop
marlabs driving digital agility WHITEPAPER Big Data and Hadoop Abstract This paper explains the significance of Hadoop, an emerging yet rapidly growing technology. The prime goal of this paper is to unveil
More informationHow To Handle Big Data With A Data Scientist
III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution
More informationGeneric Log Analyzer Using Hadoop Mapreduce Framework
Generic Log Analyzer Using Hadoop Mapreduce Framework Milind Bhandare 1, Prof. Kuntal Barua 2, Vikas Nagare 3, Dynaneshwar Ekhande 4, Rahul Pawar 5 1 M.Tech(Appeare), 2 Asst. Prof., LNCT, Indore 3 ME,
More informationBig Data - Infrastructure Considerations
April 2014, HAPPIEST MINDS TECHNOLOGIES Big Data - Infrastructure Considerations Author Anand Veeramani / Deepak Shivamurthy SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright
More informationHadoop implementation of MapReduce computational model. Ján Vaňo
Hadoop implementation of MapReduce computational model Ján Vaňo What is MapReduce? A computational model published in a paper by Google in 2004 Based on distributed computation Complements Google s distributed
More informationHadoop Architecture. Part 1
Hadoop Architecture Part 1 Node, Rack and Cluster: A node is simply a computer, typically non-enterprise, commodity hardware for nodes that contain data. Consider we have Node 1.Then we can add more nodes,
More informationUnico Enterprise Big Data
Unico Enterprise Big Data Managing and scaling Big Data to gain big insights 5 Queens Road, Melbourne Victoria 3004, Australia Phone +61 3 9866 5688 email unico@unico.com.au www.unico.com.au Big Data opportunities
More informationIntroduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data
Introduction to Hadoop HDFS and Ecosystems ANSHUL MITTAL Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Topics The goal of this presentation is to give
More informationThe IBM Cognos Platform
The IBM Cognos Platform Deliver complete, consistent, timely information to all your users, with cost-effective scale Highlights Reach all your information reliably and quickly Deliver a complete, consistent
More informationStorPool Distributed Storage. Software-Defined. Business Overview
StorPool Distributed Storage. Software-Defined. Business Overview StorPool, 2015 Page 1 of 5 About StorPool StorPool is the leading vendor of distributed storage software. Our innovative solution eradicates
More informationTesting 3Vs (Volume, Variety and Velocity) of Big Data
Testing 3Vs (Volume, Variety and Velocity) of Big Data 1 A lot happens in the Digital World in 60 seconds 2 What is Big Data Big Data refers to data sets whose size is beyond the ability of commonly used
More informationNetworking in the Hadoop Cluster
Hadoop and other distributed systems are increasingly the solution of choice for next generation data volumes. A high capacity, any to any, easily manageable networking layer is critical for peak Hadoop
More informationSWIFT. Page:1. Openstack Swift. Object Store Cloud built from the grounds up. David Hadas Swift ATC. HRL davidh@il.ibm.com 2012 IBM Corporation
Page:1 Openstack Swift Object Store Cloud built from the grounds up David Hadas Swift ATC HRL davidh@il.ibm.com Page:2 Object Store Cloud Services Expectations: PUT/GET/DELETE Huge Capacity (Scale) Always
More informationPowerful Management of Financial Big Data
Powerful Management of Financial Big Data TickSmith s solutions are the first to apply the processing power, speed, and capacity of cutting-edge Big Data technology to financial data. We combine open source
More informationUbuntu and Hadoop: the perfect match
WHITE PAPER Ubuntu and Hadoop: the perfect match February 2012 Copyright Canonical 2012 www.canonical.com Executive introduction In many fields of IT, there are always stand-out technologies. This is definitely
More informationHadoop IST 734 SS CHUNG
Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to
More informationHighly available, scalable and secure data with Cassandra and DataStax Enterprise. GOTO Berlin 27 th February 2014
Highly available, scalable and secure data with Cassandra and DataStax Enterprise GOTO Berlin 27 th February 2014 About Us Steve van den Berg Johnny Miller Solutions Architect Regional Director Western
More informationAOL CUSTOMER SUCCESS STORY
AOL CUSTOMER SUCCESS STORY AOL serves over 65 million web pages a day. With the Clustrix deployment, each data center now has a fault tolerant, scalable database that can grow with the data set and increasing
More informationData Refinery with Big Data Aspects
International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 7 (2013), pp. 655-662 International Research Publications House http://www. irphouse.com /ijict.htm Data
More informationThe Advantages of Cloud Computing
Three Important Considerations for Cloud- Native Application Design: The Value of Designing for Resilience Table of Contents Nebula.com Introduction....2 Value 1: Resilience....2 Distributed Storage...3
More informationNavigating the Big Data infrastructure layer Helena Schwenk
mwd a d v i s o r s Navigating the Big Data infrastructure layer Helena Schwenk A special report prepared for Actuate May 2013 This report is the second in a series of four and focuses principally on explaining
More informationUsing Big Data for Smarter Decision Making. Colin White, BI Research July 2011 Sponsored by IBM
Using Big Data for Smarter Decision Making Colin White, BI Research July 2011 Sponsored by IBM USING BIG DATA FOR SMARTER DECISION MAKING To increase competitiveness, 83% of CIOs have visionary plans that
More informationHow to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning
How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume
More informationDISCOVERING AND SECURING SENSITIVE DATA IN HADOOP DATA STORES
DATAGUISE WHITE PAPER SECURING HADOOP: DISCOVERING AND SECURING SENSITIVE DATA IN HADOOP DATA STORES OVERVIEW: The rapid expansion of corporate data being transferred or collected and stored in Hadoop
More informationImplement Hadoop jobs to extract business value from large and varied data sets
Hadoop Development for Big Data Solutions: Hands-On You Will Learn How To: Implement Hadoop jobs to extract business value from large and varied data sets Write, customize and deploy MapReduce jobs to
More informationInformation Architecture
The Bloor Group Actian and The Big Data Information Architecture WHITE PAPER The Actian Big Data Information Architecture Actian and The Big Data Information Architecture Originally founded in 2005 to
More informationHow To Scale Out Of A Nosql Database
Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI
More informationNext-Generation Cloud Analytics with Amazon Redshift
Next-Generation Cloud Analytics with Amazon Redshift What s inside Introduction Why Amazon Redshift is Great for Analytics Cloud Data Warehousing Strategies for Relational Databases Analyzing Fast, Transactional
More informationInternational Journal of Advanced Engineering Research and Applications (IJAERA) ISSN: 2454-2377 Vol. 1, Issue 6, October 2015. Big Data and Hadoop
ISSN: 2454-2377, October 2015 Big Data and Hadoop Simmi Bagga 1 Satinder Kaur 2 1 Assistant Professor, Sant Hira Dass Kanya MahaVidyalaya, Kala Sanghian, Distt Kpt. INDIA E-mail: simmibagga12@gmail.com
More informationBig Data. White Paper. Big Data Executive Overview WP-BD-10312014-01. Jafar Shunnar & Dan Raver. Page 1 Last Updated 11-10-2014
White Paper Big Data Executive Overview WP-BD-10312014-01 By Jafar Shunnar & Dan Raver Page 1 Last Updated 11-10-2014 Table of Contents Section 01 Big Data Facts Page 3-4 Section 02 What is Big Data? Page
More informationHadoopTM Analytics DDN
DDN Solution Brief Accelerate> HadoopTM Analytics with the SFA Big Data Platform Organizations that need to extract value from all data can leverage the award winning SFA platform to really accelerate
More informationUsing Tableau Software with Hortonworks Data Platform
Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data
More informationChapter 6 8/12/2015. Foundations of Business Intelligence: Databases and Information Management. Problem:
Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Chapter 6 Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:
More informationThe Microsoft Large Mailbox Vision
WHITE PAPER The Microsoft Large Mailbox Vision Giving users large mailboxes without breaking your budget Introduction Giving your users the ability to store more e mail has many advantages. Large mailboxes
More informationIBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse
IBM Analytics Just the facts: Four critical concepts for planning the logical data warehouse 1 2 3 4 5 6 Introduction Complexity Speed is businessfriendly Cost reduction is crucial Analytics: The key to
More informationWhile a number of technologies fall under the Big Data label, Hadoop is the Big Data mascot.
While a number of technologies fall under the Big Data label, Hadoop is the Big Data mascot. Remember it stands front and center in the discussion of how to implement a big data strategy. Early adopters
More informationWhite Paper. Big Data and Hadoop. Abhishek S, Java COE. Cloud Computing Mobile DW-BI-Analytics Microsoft Oracle ERP Java SAP ERP
White Paper Big Data and Hadoop Abhishek S, Java COE www.marlabs.com Cloud Computing Mobile DW-BI-Analytics Microsoft Oracle ERP Java SAP ERP Table of contents Abstract.. 1 Introduction. 2 What is Big
More informationScalable Windows Storage Server File Serving Clusters Using Melio File System and DFS
Scalable Windows Storage Server File Serving Clusters Using Melio File System and DFS Step-by-step Configuration Guide Table of Contents Scalable File Serving Clusters Using Windows Storage Server Using
More informationIntroduction to Cloud Computing
Introduction to Cloud Computing Cloud Computing I (intro) 15 319, spring 2010 2 nd Lecture, Jan 14 th Majd F. Sakr Lecture Motivation General overview on cloud computing What is cloud computing Services
More informationA STUDY ON HADOOP ARCHITECTURE FOR BIG DATA ANALYTICS
A STUDY ON HADOOP ARCHITECTURE FOR BIG DATA ANALYTICS Dr. Ananthi Sheshasayee 1, J V N Lakshmi 2 1 Head Department of Computer Science & Research, Quaid-E-Millath Govt College for Women, Chennai, (India)
More informationAssociate Professor, Department of CSE, Shri Vishnu Engineering College for Women, Andhra Pradesh, India 2
Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Special Issue
More informationHadoop. http://hadoop.apache.org/ Sunday, November 25, 12
Hadoop http://hadoop.apache.org/ What Is Apache Hadoop? The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using
More informationHadoop Cluster Applications
Hadoop Overview Data analytics has become a key element of the business decision process over the last decade. Classic reporting on a dataset stored in a database was sufficient until recently, but yesterday
More informationBig Data Analytics by Using Hadoop
Governors State University OPUS Open Portal to University Scholarship All Capstone Projects Student Capstone Projects Spring 2015 Big Data Analytics by Using Hadoop Chaitanya Arava Governors State University
More informationOptimize Your Data Warehouse with Hadoop The first steps to transform the economics of data warehousing.
Optimize Your Data Warehouse with Hadoop The first steps to transform the economics of data warehousing. This white paper addresses the challenge of controlling the rising costs of operating and maintaining
More informationExtending the Enterprise Data Warehouse with Hadoop Robert Lancaster. Nov 7, 2012
Extending the Enterprise Data Warehouse with Hadoop Robert Lancaster Nov 7, 2012 Who I Am Robert Lancaster Solutions Architect, Hotel Supply Team rlancaster@orbitz.com @rob1lancaster Organizer of Chicago
More informationWhite Paper: What You Need To Know About Hadoop
CTOlabs.com White Paper: What You Need To Know About Hadoop June 2011 A White Paper providing succinct information for the enterprise technologist. Inside: What is Hadoop, really? Issues the Hadoop stack
More informationWhite Paper: Evaluating Big Data Analytical Capabilities For Government Use
CTOlabs.com White Paper: Evaluating Big Data Analytical Capabilities For Government Use March 2012 A White Paper providing context and guidance you can use Inside: The Big Data Tool Landscape Big Data
More informationXpoLog Competitive Comparison Sheet
XpoLog Competitive Comparison Sheet New frontier in big log data analysis and application intelligence Technical white paper May 2015 XpoLog, a data analysis and management platform for applications' IT
More informationUnderstanding How Sensage Compares/Contrasts with Hadoop
Frequently Asked Questions Understanding How Sensage Compares/Contrasts with Hadoop 1. How does Sensage s approach to managing large, distributed data systems compare/contrast with Hadoop in terms of storage,
More informationSo What s the Big Deal?
So What s the Big Deal? Presentation Agenda Introduction What is Big Data? So What is the Big Deal? Big Data Technologies Identifying Big Data Opportunities Conducting a Big Data Proof of Concept Big Data
More informationBig Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013
Big Data Use Case How Rackspace is using Private Cloud for Big Data Bryan Thompson May 8th, 2013 Our Big Data Problem Consolidate all monitoring data for reporting and analytical purposes. Every device
More informationAn Hadoop-based Platform for Massive Medical Data Storage
5 10 15 An Hadoop-based Platform for Massive Medical Data Storage WANG Heng * (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876) Abstract:
More informationChapter 6. Foundations of Business Intelligence: Databases and Information Management
Chapter 6 Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:
More informationData Warehousing Concepts
Data Warehousing Concepts JB Software and Consulting Inc 1333 McDermott Drive, Suite 200 Allen, TX 75013. [[[[[ DATA WAREHOUSING What is a Data Warehouse? Decision Support Systems (DSS), provides an analysis
More informationThe Inside Scoop on Hadoop
The Inside Scoop on Hadoop Orion Gebremedhin National Solutions Director BI & Big Data, Neudesic LLC. VTSP Microsoft Corp. Orion.Gebremedhin@Neudesic.COM B-orgebr@Microsoft.com @OrionGM The Inside Scoop
More informationHadoop and Map-Reduce. Swati Gore
Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data
More informationAlexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data
INFO 1500 Introduction to IT Fundamentals 5. Database Systems and Managing Data Resources Learning Objectives 1. Describe how the problems of managing data resources in a traditional file environment are
More informationBig Data and Apache Hadoop s MapReduce
Big Data and Apache Hadoop s MapReduce Michael Hahsler Computer Science and Engineering Southern Methodist University January 23, 2012 Michael Hahsler (SMU/CSE) Hadoop/MapReduce January 23, 2012 1 / 23
More informationCA Technologies Big Data Infrastructure Management Unified Management and Visibility of Big Data
Research Report CA Technologies Big Data Infrastructure Management Executive Summary CA Technologies recently exhibited new technology innovations, marking its entry into the Big Data marketplace with
More informationWhite Paper: Hadoop for Intelligence Analysis
CTOlabs.com White Paper: Hadoop for Intelligence Analysis July 2011 A White Paper providing context, tips and use cases on the topic of analysis over large quantities of data. Inside: Apache Hadoop and
More informationBIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014
BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 Ralph Kimball Associates 2014 The Data Warehouse Mission Identify all possible enterprise data assets Select those assets
More informationAn Oracle White Paper June 2012. High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database
An Oracle White Paper June 2012 High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database Executive Overview... 1 Introduction... 1 Oracle Loader for Hadoop... 2 Oracle Direct
More informationIntroduction to Cloud : Cloud and Cloud Storage. Lecture 2. Dr. Dalit Naor IBM Haifa Research Storage Systems. Dalit Naor, IBM Haifa Research
Introduction to Cloud : Cloud and Cloud Storage Lecture 2 Dr. Dalit Naor IBM Haifa Research Storage Systems 1 Advanced Topics in Storage Systems for Big Data - Spring 2014, Tel-Aviv University http://www.eng.tau.ac.il/semcom
More information