Beyond Web Application Log Analysis using Apache TM Hadoop. A Whitepaper by Orzota, Inc.
|
|
- Branden Walsh
- 8 years ago
- Views:
Transcription
1 Beyond Web Application Log Analysis using Apache TM Hadoop A Whitepaper by Orzota, Inc. 1
2 Web Applications As more and more software moves to a Software as a Service (SaaS) model, the web application has become ubiquitous. Figure 1 below shows the architecture of a typical web application. The simplest applications have the web and application tiers combined while more complex ones may have multiple web tiers to handle static content and security, multiple application tiers (called middleware ) as well as one or more data bases. Database Server Web Browser Request Web Servers Application Servers External Services Static Files Logs File System Figure 1: The Typical Web Application Web Server Logs Web servers typically provide at least two types of log files: access log and error log. The access log records all requests that were made of this server including the client ip address, URL, response code, response size, etc. The error log records all requests that failed and the reason for the failure as recorded by the application. A large site that receives thousands to millions of requests per day may have 100s of web servers, each server logging requests it processes. This data can easily range in the GBs for a day. Application Server Logs Business logic in web applications is handled by the application server tier. In some cases, the business logic is executed as part of the web server tier itself and in more complex applications, there may be several different types of application servers that handle various pieces of the logic. In all cases, application servers also do their own logging. The custom logs used can provide a great level of detail for 2
3 application developers and analysts to understand how the application is used. Since developers can log arbitrary information, application server logs can be even larger than web server logs. Log Processing With logs that are being continuously produced in various tiers with different types of information, the challenge then is to store and process this data in an efficient manner to produce rich insights into the application and customer behavior. Although one might be tempted to throw all data into a relational database system, this is usually not the correct architecture. RDBMS systems can be very expensive and cheaper alternatives like MySQL cannot scale to the volume of data that is continuously being added. A better technology exists to store terabytes of log data and process it efficiently. This is Apache Hadoop. Hadoop Overview Apache Hadoop is an open source project that provides a parallel storage and processing framework that enables customized analytical functions using commodity hardware. It scales out to clusters spanning tens to thousands of server nodes making it possible to process very large amounts of data at a fraction of the cost of enterprise data warehouses. The key is the use of commodity servers Hadoop makes this possible by providing for replication and distribution of the nodes over multiple nodes, racks and even data centers. Hadoop is rapidly being adopted by enterprises from leading banks and retailers to online travel and ecommerce sites in a wide range of applications. Hadoop for Log Processing One of the first applications developed using Hadoop was web log processing. Processing the large volume of logs for web companies such as Yahoo! and Facebook was a challenge. Add to this the textual nature of the content in these log files and Hadoop became the platform of choice for log analysis. Figure 2. shows the architecture of a log processing system using Hadoop. Log files from many different types of servers are fetched via Apache Flume and loaded into a Hadoop cluster. Jobs are scheduled to analyze the logs and generate aggregated summary metrics which are then sent to an external RDBMS for visualization using a BI tool. The data in Hadoop is also available for ad-hoc queries via Hive by developers, product managers, etc. for exploratory analytics. 3
4 Data Sources Logs Web Logs Firewall Logs Server Logs FLUME Collection & Analytics HDFS MapRedu ce Reporting HIVE Schedule r MySQL Big Data Analytics The power of this architecture lies in the fact that we can combine data from arbitrary sources in Hadoop. By applying the correct filtering and analytical processes, new questions can be answered. Some examples are: Ranked list of the most significant trends and page views over the last day/week/month 4
5 Identify the characteristics of the most active users to help promote this behavior across the board Co-relate user sessions with transactional data to better understand how to improve sales Log Analysis Services If you have log files that are growing by the day and are not being analyzed effectively to add business value, you are missing out. Understanding customer behavior can help in defining and optimizing functionality to improve ease of use and performance. Gaining operational insights from system logs can greatly improve the efficiency of your production systems. Orzota can help implement the right architecture and automate log analysis to provide meaningful insights. For more information, contact us at 5
AGENDA. What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story. Our BIG DATA Roadmap. Hadoop PDW
AGENDA What is BIG DATA? What is Hadoop? Why Microsoft? The Microsoft BIG DATA story Hadoop PDW Our BIG DATA Roadmap BIG DATA? Volume 59% growth in annual WW information 1.2M Zetabytes (10 21 bytes) this
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 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 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 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 informationINTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE
INTRODUCTION TO APACHE HADOOP MATTHIAS BRÄGER CERN GS-ASE AGENDA Introduction to Big Data Introduction to Hadoop HDFS file system Map/Reduce framework Hadoop utilities Summary BIG DATA FACTS In what timeframe
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 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 informationAn Industrial Perspective on the Hadoop Ecosystem. Eldar Khalilov Pavel Valov
An Industrial Perspective on the Hadoop Ecosystem Eldar Khalilov Pavel Valov agenda 03.12.2015 2 agenda Introduction 03.12.2015 2 agenda Introduction Research goals 03.12.2015 2 agenda Introduction Research
More informationHadoop and its Usage at Facebook. Dhruba Borthakur dhruba@apache.org, June 22 rd, 2009
Hadoop and its Usage at Facebook Dhruba Borthakur dhruba@apache.org, June 22 rd, 2009 Who Am I? Hadoop Developer Core contributor since Hadoop s infancy Focussed on Hadoop Distributed File System Facebook
More informationW H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract
W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the
More informationBusiness Intelligence for Big Data
Business Intelligence for Big Data Will Gorman, Vice President, Engineering May, 2011 2010, Pentaho. All Rights Reserved. www.pentaho.com. What is BI? Business Intelligence = reports, dashboards, analysis,
More informationBIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES
BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES Relational vs. Non-Relational Architecture Relational Non-Relational Rational Predictable Traditional Agile Flexible Modern 2 Agenda Big Data
More informationAligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap
Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap 3 key strategic advantages, and a realistic roadmap for what you really need, and when 2012, Cognizant Topics to be discussed
More informationHadoop. 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 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 informationTapping Into Hadoop and NoSQL Data Sources with MicroStrategy. Presented by: Jeffrey Zhang and Trishla Maru
Tapping Into Hadoop and NoSQL Data Sources with MicroStrategy Presented by: Jeffrey Zhang and Trishla Maru Agenda Big Data Overview All About Hadoop What is Hadoop? How does MicroStrategy connects to Hadoop?
More informationTap into Hadoop and Other No SQL Sources
Tap into Hadoop and Other No SQL Sources Presented by: Trishla Maru What is Big Data really? The Three Vs of Big Data According to Gartner Volume Volume Orders of magnitude bigger than conventional data
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 informationBig Data Open Source Stack vs. Traditional Stack for BI and Analytics
Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Part I By Sam Poozhikala, Vice President Customer Solutions at StratApps Inc. 4/4/2014 You may contact Sam Poozhikala at spoozhikala@stratapps.com.
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 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 informationHortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved
Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment
More informationQLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM
QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QlikView Technical Case Study Series Big Data June 2012 qlikview.com Introduction This QlikView technical case study focuses on the QlikView deployment
More informationBringing Big Data to People
Bringing Big Data to People Microsoft s modern data platform SQL Server 2014 Analytics Platform System Microsoft Azure HDInsight Data Platform Everyone should have access to the data they need. Process
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 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 informationInfomatics. Big-Data and Hadoop Developer Training with Oracle WDP
Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools
More information#mstrworld. Tapping into Hadoop and NoSQL Data Sources in MicroStrategy. Presented by: Trishla Maru. #mstrworld
Tapping into Hadoop and NoSQL Data Sources in MicroStrategy Presented by: Trishla Maru Agenda Big Data Overview All About Hadoop What is Hadoop? How does MicroStrategy connects to Hadoop? Customer Case
More informationManaging Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database
Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica
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 informationHadoop & its Usage at Facebook
Hadoop & its Usage at Facebook Dhruba Borthakur Project Lead, Hadoop Distributed File System dhruba@apache.org Presented at the The Israeli Association of Grid Technologies July 15, 2009 Outline Architecture
More informationCost-Effective Business Intelligence with Red Hat and Open Source
Cost-Effective Business Intelligence with Red Hat and Open Source Sherman Wood Director, Business Intelligence, Jaspersoft September 3, 2009 1 Agenda Introductions Quick survey What is BI?: reporting,
More informationHow To Create A Data Visualization With Apache Spark And Zeppelin 2.5.3.5
Big Data Visualization using Apache Spark and Zeppelin Prajod Vettiyattil, Software Architect, Wipro Agenda Big Data and Ecosystem tools Apache Spark Apache Zeppelin Data Visualization Combining Spark
More informationAre You Ready for Big Data?
Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?
More informationBig Data: Tools and Technologies in Big Data
Big Data: Tools and Technologies in Big Data Jaskaran Singh Student Lovely Professional University, Punjab Varun Singla Assistant Professor Lovely Professional University, Punjab ABSTRACT Big data can
More informationBIG DATA IN BUSINESS ENVIRONMENT
Scientific Bulletin Economic Sciences, Volume 14/ Issue 1 BIG DATA IN BUSINESS ENVIRONMENT Logica BANICA 1, Alina HAGIU 2 1 Faculty of Economics, University of Pitesti, Romania olga.banica@upit.ro 2 Faculty
More informationHadoop & its Usage at Facebook
Hadoop & its Usage at Facebook Dhruba Borthakur Project Lead, Hadoop Distributed File System dhruba@apache.org Presented at the Storage Developer Conference, Santa Clara September 15, 2009 Outline Introduction
More informationAre You Ready for Big Data?
Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?
More informationproject collects data from national events, both natural and manmade, to be stored and evaluated by
Joseph Sebastian CS 2994 Spring 2014 Undergraduate Research Final Paper GOALS The goal of my research was to assist the Integrated Digital Event Archive (IDEAL) team in transferring their Twitter data
More informationBig Data and Hadoop with components like Flume, Pig, Hive and Jaql
Abstract- Today data is increasing in volume, variety and velocity. To manage this data, we have to use databases with massively parallel software running on tens, hundreds, or more than thousands of servers.
More informationOpen source Google-style large scale data analysis with Hadoop
Open source Google-style large scale data analysis with Hadoop Ioannis Konstantinou Email: ikons@cslab.ece.ntua.gr Web: http://www.cslab.ntua.gr/~ikons Computing Systems Laboratory School of Electrical
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 informationA Tour of the Zoo the Hadoop Ecosystem Prafulla Wani
A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani Technical Architect - Big Data Syntel Agenda Welcome to the Zoo! Evolution Timeline Traditional BI/DW Architecture Where Hadoop Fits In 2 Welcome to
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 informationData Mining in the Swamp
WHITE PAPER Page 1 of 8 Data Mining in the Swamp Taming Unruly Data with Cloud Computing By John Brothers Business Intelligence is all about making better decisions from the data you have. However, all
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 informationBig Data for Investment Research Management
IDT Partners www.idtpartners.com Big Data for Investment Research Management Discover how IDT Partners helps Financial Services, Market Research, and Investment Management firms turn big data into actionable
More informationFrom Spark to Ignition:
From Spark to Ignition: Fueling Your Business on Real-Time Analytics Eric Frenkiel, MemSQL CEO June 29, 2015 San Francisco, CA What s in Store For This Presentation? 1. MemSQL: A real-time database for
More informationWorkshop on Hadoop with Big Data
Workshop on Hadoop with Big Data Hadoop? Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly
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 informationIntroduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.
Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in
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 informationBig Data? Definition # 1: Big Data Definition Forrester Research
Big Data Big Data? Definition # 1: Big Data Definition Forrester Research Big Data? Definition # 2: Quote of Tim O Reilly brings it all home: Companies that have massive amounts of data without massive
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 informationHow To Use Hadoop For Gis
2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Big Data: Using ArcGIS with Apache Hadoop David Kaiser Erik Hoel Offering 1330 Esri UC2013. Technical Workshop.
More informationModern Data Architecture for Predictive Analytics
Modern Data Architecture for Predictive Analytics David Smith VP Marketing and Community - Revolution Analytics John Kreisa VP Strategic Marketing- Hortonworks Hortonworks Inc. 2013 Page 1 Your Presenters
More informationHadoop Distributed File System. Dhruba Borthakur Apache Hadoop Project Management Committee dhruba@apache.org dhruba@facebook.com
Hadoop Distributed File System Dhruba Borthakur Apache Hadoop Project Management Committee dhruba@apache.org dhruba@facebook.com Hadoop, Why? Need to process huge datasets on large clusters of computers
More informationCloudera Certified Developer for Apache Hadoop
Cloudera CCD-333 Cloudera Certified Developer for Apache Hadoop Version: 5.6 QUESTION NO: 1 Cloudera CCD-333 Exam What is a SequenceFile? A. A SequenceFile contains a binary encoding of an arbitrary number
More informationHadoop Introduction. Olivier Renault Solution Engineer - Hortonworks
Hadoop Introduction Olivier Renault Solution Engineer - Hortonworks Hortonworks A Brief History of Apache Hadoop Apache Project Established Yahoo! begins to Operate at scale Hortonworks Data Platform 2013
More informationORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION
ORACLE BUSINESS INTELLIGENCE, ORACLE DATABASE, AND EXADATA INTEGRATION EXECUTIVE SUMMARY Oracle business intelligence solutions are complete, open, and integrated. Key components of Oracle business intelligence
More informationBIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP
BIG DATA AND THE ENTERPRISE DATA WAREHOUSE WORKSHOP Business Analytics for All Amsterdam - 2015 Value of Big Data is Being Recognized Executives beginning to see the path from data insights to revenue
More informationUsing distributed technologies to analyze Big Data
Using distributed technologies to analyze Big Data Abhijit Sharma Innovation Lab BMC Software 1 Data Explosion in Data Center Performance / Time Series Data Incoming data rates ~Millions of data points/
More informationGAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION
GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION Syed Rasheed Solution Manager Red Hat Corp. Kenny Peeples Technical Manager Red Hat Corp. Kimberly Palko Product Manager Red Hat Corp.
More informationBest Practices for Hadoop Data Analysis with Tableau
Best Practices for Hadoop Data Analysis with Tableau September 2013 2013 Hortonworks Inc. http:// Tableau 6.1.4 introduced the ability to visualize large, complex data stored in Apache Hadoop with Hortonworks
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 informationAmerica s Most Wanted a metric to detect persistently faulty machines in Hadoop
America s Most Wanted a metric to detect persistently faulty machines in Hadoop Dhruba Borthakur and Andrew Ryan dhruba,andrewr1@facebook.com Presented at IFIP Workshop on Failure Diagnosis, Chicago June
More informationHDP Hadoop From concept to deployment.
HDP Hadoop From concept to deployment. Ankur Gupta Senior Solutions Engineer Rackspace: Page 41 27 th Jan 2015 Where are you in your Hadoop Journey? A. Researching our options B. Currently evaluating some
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 informationArchitectural patterns for building real time applications with Apache HBase. Andrew Purtell Committer and PMC, Apache HBase
Architectural patterns for building real time applications with Apache HBase Andrew Purtell Committer and PMC, Apache HBase Who am I? Distributed systems engineer Principal Architect in the Big Data Platform
More informationHadoop and Big Data Research
Jive with Hive Allan Mitchell Joint author on 2005/2008 SSIS Book by Wrox Websites www.copperblueconsulting.com Specialise in Data and Process Integration Microsoft SQL Server MVP Twitter: allansqlis E:
More informationMySQL and Hadoop: Big Data Integration. Shubhangi Garg & Neha Kumari MySQL Engineering
MySQL and Hadoop: Big Data Integration Shubhangi Garg & Neha Kumari MySQL Engineering 1Copyright 2013, Oracle and/or its affiliates. All rights reserved. Agenda Design rationale Implementation Installation
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 informationData Warehousing and Analytics Infrastructure at Facebook. Ashish Thusoo & Dhruba Borthakur athusoo,dhruba@facebook.com
Data Warehousing and Analytics Infrastructure at Facebook Ashish Thusoo & Dhruba Borthakur athusoo,dhruba@facebook.com Overview Challenges in a Fast Growing & Dynamic Environment Data Flow Architecture,
More informationEnd to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ
End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,
More informationAnnex: Concept Note. Big Data for Policy, Development and Official Statistics New York, 22 February 2013
Annex: Concept Note Friday Seminar on Emerging Issues Big Data for Policy, Development and Official Statistics New York, 22 February 2013 How is Big Data different from just very large databases? 1 Traditionally,
More informationTAMING THE BIG CHALLENGE OF BIG DATA MICROSOFT HADOOP
Pythian White Paper TAMING THE BIG CHALLENGE OF BIG DATA MICROSOFT HADOOP ABSTRACT As companies increasingly rely on big data to steer decisions, they also find themselves looking for ways to simplify
More informationFrom Internet Data Centers to Data Centers in the Cloud
From Internet Data Centers to Data Centers in the Cloud This case study is a short extract from a keynote address given to the Doctoral Symposium at Middleware 2009 by Lucy Cherkasova of HP Research Labs
More informationSecuring NoSQL Clusters
Presents Securing NoSQL Clusters Adrian Lane, CTO alane@securosis.com Twitter: @AdrianLane David Mortman dmortman@securosis.com Twitter: @ Independent analysts with backgrounds on both the user and vendor
More informationBIG DATA TECHNOLOGY. Hadoop Ecosystem
BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big
More informationThe 3 questions to ask yourself about BIG DATA
The 3 questions to ask yourself about BIG DATA Do you have a big data problem? Companies looking to tackle big data problems are embarking on a journey that is full of hype, buzz, confusion, and misinformation.
More informationESS event: Big Data in Official Statistics. Antonino Virgillito, Istat
ESS event: Big Data in Official Statistics Antonino Virgillito, Istat v erbi v is 1 About me Head of Unit Web and BI Technologies, IT Directorate of Istat Project manager and technical coordinator of Web
More informationNative Connectivity to Big Data Sources in MSTR 10
Native Connectivity to Big Data Sources in MSTR 10 Bring All Relevant Data to Decision Makers Support for More Big Data Sources Optimized Access to Your Entire Big Data Ecosystem as If It Were a Single
More informationHow Companies are! Using Spark
How Companies are! Using Spark And where the Edge in Big Data will be Matei Zaharia History Decreasing storage costs have led to an explosion of big data Commodity cluster software, like Hadoop, has made
More informationThe Future of Big Data SAS Automotive Roundtable Los Angeles, CA 5 March 2015 Mike Olson Chief Strategy Officer, Cofounder @mikeolson
The Future of Big Data SAS Automotive Roundtable Los Angeles, CA 5 March 2015 Mike Olson Chief Strategy Officer, Cofounder @mikeolson 1 A New Platform for Pervasive Analytics Multiple big data opportunities
More informationBig Data and Hadoop with Components like Flume, Pig, Hive and Jaql
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 7, July 2014, pg.759
More informationMicrosoft SQL Server 2012 with Hadoop
Microsoft SQL Server 2012 with Hadoop Debarchan Sarkar Chapter No. 1 "Introduction to Big Data and Hadoop" In this package, you will find: A Biography of the author of the book A preview chapter from the
More informationSQL Server 2012 PDW. Ryan Simpson Technical Solution Professional PDW Microsoft. Microsoft SQL Server 2012 Parallel Data Warehouse
SQL Server 2012 PDW Ryan Simpson Technical Solution Professional PDW Microsoft Microsoft SQL Server 2012 Parallel Data Warehouse Massively Parallel Processing Platform Delivers Big Data HDFS Delivers Scale
More informationBig Data Analytics Platform @ Nokia
Big Data Analytics Platform @ Nokia 1 Selecting the Right Tool for the Right Workload Yekesa Kosuru Nokia Location & Commerce Strata + Hadoop World NY - Oct 25, 2012 Agenda Big Data Analytics Platform
More informationHadoop Job Oriented Training Agenda
1 Hadoop Job Oriented Training Agenda Kapil CK hdpguru@gmail.com Module 1 M o d u l e 1 Understanding Hadoop This module covers an overview of big data, Hadoop, and the Hortonworks Data Platform. 1.1 Module
More informationBig Fast Data Hadoop acceleration with Flash. June 2013
Big Fast Data Hadoop acceleration with Flash June 2013 Agenda The Big Data Problem What is Hadoop Hadoop and Flash The Nytro Solution Test Results The Big Data Problem Big Data Output Facebook Traditional
More informationData Analyst Program- 0 to 100
Development Data Analyst Program- 0 to 100 Master the Data Analysis tools like Pig and hive Data Science Build a recommendation engine 1 Data Analyst Program- 0 to 100 HADOOP SCHOOL OF TRAINING Basics
More informationSimplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!
Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Streaming Analy.cs S S S Scale- up Database Data And Compute Grid
More informationBig Data Technology ดร.ช ชาต หฤไชยะศ กด. Choochart Haruechaiyasak, Ph.D.
Big Data Technology ดร.ช ชาต หฤไชยะศ กด Choochart Haruechaiyasak, Ph.D. Speech and Audio Technology Laboratory (SPT) National Electronics and Computer Technology Center (NECTEC) National Science and Technology
More informationBig Data Infrastructure at Spotify
Big Data Infrastructure at Spotify Wouter de Bie Team Lead Data Infrastructure June 12, 2013 2 Agenda Let s talk about Data Infrastructure, how we did it, what we learned and how we ve failed Some Context
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 informationHadoop. for Oracle database professionals. Alex Gorbachev Calgary, AB September 2013
Hadoop for Oracle database professionals Alex Gorbachev Calgary, AB September 2013 Alex Gorbachev Chief Technology Officer at Pythian Blogger Cloudera Champion of Big Data OakTable Network member Oracle
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 informationScalable Cloud Computing Solutions for Next Generation Sequencing Data
Scalable Cloud Computing Solutions for Next Generation Sequencing Data Matti Niemenmaa 1, Aleksi Kallio 2, André Schumacher 1, Petri Klemelä 2, Eija Korpelainen 2, and Keijo Heljanko 1 1 Department of
More informationBig data blue print for cloud architecture
Big data blue print for cloud architecture -COGNIZANT Image Area Prabhu Inbarajan Srinivasan Thiruvengadathan Muralicharan Gurumoorthy Praveen Codur 2012, Cognizant Next 30 minutes Big Data / Cloud challenges
More information