BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata
|
|
- Aleesha Francis
- 8 years ago
- Views:
Transcription
1 BIG DATA: FROM HYPE TO REALITY Leandro Ruiz Presales Partner for C&LA Teradata
2 Evolution in The Use of Information Action s ACTIVATING MAKE it happen! Insights OPERATIONALIZING WHAT IS happening now? PREDICTING WHAT WILL happen? Automated Linkages REPORTING WHAT happened? ANALYZING WHY did it happen? Predictive Models Link to Operational Systems 2 Batch Reports Ad Hoc, BI Tools Does this process change with Big? No. Do the tools you need change? Yes.
3 Big is an Evolution not a Revolution Flow DATA -> INSIGHTS -> ACTIONS Predictions Events Patterns Hypothesis Testing Strategic Actions Operational Actions Flow BIG DATA -> INSIGHTS -> ACTIONS Is the Ultimate USE of Big Different? No. 3
4 Evolution: What s Not New? #1 ECONOMICS > You still need to determine what data has value, how long to store it, and where to store it. And all your systems still need to prove ROI #2 TOOLS > Exploit parallelism, even on new data types. > Need for tools to interoperate easily > Ease of use, ease of access #3 ARCHITECTURE > Need flexibility, so you can add more tools > Need to leverage technologies you already have > Overall system must be production-ready, tested, reliable 4
5 Evolution: What s Different? Disruptive? #1 New ECONOMICS > Increased amounts of data you can afford to capture #2 New TOOLS > INSIGHTS FROM NEW DATA TYPES: quickly find the signal in the noise, integrate > DISCOVERY PROCESS : Fast! Capture and analyze data without the usual rigor, because much of it will not go into the EDW #3 New ARCHITECTURE FRAMEWORK > A hybrid ecosystem that makes it easy to use both old and new tools, on old and new data 5
6 Gartner Recommends: Shift from a Single Platform to an Ecosystem "Logical" Warehouse We will abandon the old models based on the desire to implement for high-value analytic applications. 6
7 Big Analytics The Problem Warehouse/ Intelligence Advanced Analytics Proliferation of Big analytics environments has resulted in fragmented data, higher costs, expensive skills, longer time to insight 7
8 Discovery (Advanced Analytics) The Problem The Solution Warehouse/ Intelligence Advanced Analytics SQL Framework Access Layer Integrated Discovery Platform (IDP) Proliferation of Big analytics environments has resulted in fragmented data, higher costs, expensive skills, longer time to insight Pre-Built Analytics Functions Integrated discovery analytics provides deeper insight, integrated access, ease of use, lower costs, better insight 8
9 UNIFIED DATA ARCHITECTURE System Conceptual View ERP MOVE MANAGE ACCESS Marketing Marketing Executives SCM CRM INTEGRATED DATA WAREHOUSE Applications Operational Systems Images DATA PLATFORM Intelligence Customers Partners Audio and Video Mining Frontline Workers Machine Logs DISCOVERY PLATFORM Math and Stats Analysts Text Scientists Languages Web and Social Engineers SOURCES 9 ANALYTIC TOOLS & APPS USERS
10 PROCESS FLOW What s Changed: Architecture Framework ERP Marketing Marketing Executives SCM CRM DATA INSIGHTS ACTION Applications Operational Systems Images Fast Loading Discovery Reports Dashboards Intelligence Frontline Workers Audio and Video Machine Logs Text Filtering and Processing Online Archival Pattern Detection: Path, Graph, Time-series analysis Real-time Recommendations Operational Insights Mining Math and Stats Customers Partners Engineers Scientists Web and Social New Models And Model Factors Rules Engines Languages Analysts SOURCES ANALYTIC TOOLS USERS
11 Integrated Analytics Operationalizing Insights in the Enterprise Single view of your business Marketing Executives Cross-functional analysis Applications Operational Systems Shared source of relevant, consistent, integrated data INTEGRATED DATA WAREHOUSE Intelligence Frontline Workers Load once, use many times Mining Customers Partners Lowest cost of ownership Math and Stats Executives Fast new applications time-to-market Analysts USERS 11 APPLICATIONS
12 Capture, Store, Refine Capturing for Storage and Processing Raw data capture History or long term storage Low cost archival Transformations Structured, semi-structured Sessionize, remove XML tags, extract key words Simple math at scale Batch processing DATA PLATFORM Mining Machine Learning Languages Programmer Scientists 12 APPLICATIONS USERS
13 Hadoop: Requirements for Staging, Preprocessing, Simple Analytics Land/source operational data > Only one extract from source system History or long term storage > Low cost storage Preprocess data > Sessionize data, remove XML tags Transformations > Structured and semi-structured Exploration > Investigate value of new data sources Batch scoring Single subject reporting Cost Low cost/value equation for data size Depth More data/raw data for small user community Multi-Structure Raw data (typically web logs) stored for later parsing Non-SQL Analytics Workload requires procedural programming or Map Reduce Flexibility Access to raw data, no prod constraints, no IT governance Parallel App Applications that require MPP Application Environment 13
14 SQL-MapReduce Analytics Unlocking Hidden Value in (Any) Interactive data discovery > Web clickstream, social > Set-top box analysis > CDRs, sensor logs, JSON Flexible evolving schema MapReduce, Graph, SQL, statistics, text, ASTER DISCOVERY PLATFORM Languages Intelligence Mining Marketing Executives Operational Systems Scientists Customers Partners Structured and multistructured data Patented SQL- MapReduce Math and Stats Analysts 100+ packaged functions USERS 14 APPLICATIONS
15 DATA INSIGHTS : Discovery ACTION ERP SCM CRM Images GOVERNANCE & INTEGRATION TOOLS DATA MANAGE DISCOVERY MOVE Raw data acquisition transformation - nuggets visualization Combine new with old DATA New PLATFORM insight generation Generate hypotheses ACCESS INTEGRATED DATA WAREHOUSE Marketing Applications Intelligence Marketing Executives Operational Systems Frontline Workers Audio and Video Machine Logs Text Web and Social HYPOTHESIS TESTING Use of new data, insights to Augment predictive models Try process and action changes Experiment design, testing Results analysis Fast fail, or move into production DISCOVERY PLATFORM Mining Math and Stats Languages Customers Partners Engineers Scientists Analysts SOURCES ANALYTIC TOOLS USERS
16 Teradata Aster s SNAP Framework TEXT T STATS PATH SQL MAP REDUCE GRAPH SNAP FRAMEWORK INTEGRATED OPTIMIZER INTEGRATED EXECUTER UNIFIED SQL INTERFACE STORAGE SYSTEM AND SERVICES ROW STORE COLUMN STORE FILE STORE 16
17 A New Analytical Approach A Single SQL Statement to Acquire, Prepare, Analyze & Visualize Social Media ERP Text CRM Hado op EDW Acquisition Preparation Analysis Visualization Teradata Aster Discovery Platform Users Single SQL statement: SELECT * FROM npathviz( on SELECT * FROM npath ( ON (SELECT * FROM SESSIONIZE ( ON SELECT * FROM LOAD_FROM_TD_HADOOP) PARTITION BY sba_id SYMBOLS ( event LIKE '%EXTERIOR LIGHTING%' AS START_EVENT, event NOT LIKE '%BRAKE SYSTEM%' AS NEXT_EVENT) RESULT ( ) ) n; Benefits: Single solution & workflow, single skill set Shared metadata, data, insights Fastest time to value, easy iterations & speed of analysis 17
18 Organizations Face Several Obstacles Building Big Systems on Their Own Difficulty deploying and integrating new systems Difficulty managing multiple systems, new types of data Difficulty providing accessibility to fast insights on big data Difficulty finding skilled analysts e.g., data scientists 18 Source: Big Analytics 2012 Survey, Teradata
19 UNIFIED DATA ARCHITECTURE System Conceptual View ERP MOVE MANAGE ACCESS Marketing Marketing Executives SCM CRM INTEGRATED DATA WAREHOUSE Applications Operational Systems Images DATA PLATFORM Intelligence Customers Partners Audio and Video Mining Frontline Workers Machine Logs DISCOVERY PLATFORM Math and Stats Analysts Text Scientists Languages Web and Social Engineers SOURCES 19 ANALYTIC TOOLS & APPS USERS
20 Filtering Teradata SQL-H Give business users on-the-fly access to data in Hadoop Trusted: Use existing tools/skills and enable self-service BI with granular security Teradata SQL-H Aster SQL-H Standard: 100% ANSI SQL access to Hadoop data Hadoop MR HCatalog Hive Fast: Queries run on Teradata or Aster, data accessed from Hadoop Pig Efficient: Intelligent data access leveraging the Hadoop HCatalog Hadoop Layer: HDFS 20
21 Fabric Based Computing Optimized for BI The backbone of UDA > High performance infrastructure > Aggregate Teradata IDW, Aster Discovery and Hadoop > Industry approach optimized for Big Analytics use Key Teradata Elements > BYNET V5 software protocoal on InfiniBand interconnect > Teradata Managed Servers > System management across all of the FBC 21
22 Teradata Viewpoint Single Operational View (SOV) for Teradata, Aster, & Hadoop Creation of new portlets: > Node Monitor (Aster & Hadoop) > Aster Completed Processes > Hadoop Services Integration into existing: > Monitoring: System Health, Metrics Analysis, Metrics Graph, Capacity Heatmap, Space Usage, Query Monitor (TDB & Aster) > Admin: Alert Viewer, Alert Setup, Teradata Systems, Role Manager 22
23 Teradata Aster Big Analytics Appliance First Deeply Integrated SQL, MapReduce and Hadoop Appliance UNIQUE FEATURES 1. Modular Aster and 100% open-source Hortonworks nodes 2. First ANSI SQL & HCatalog integration via SQL-H 3. Only ANSI SQL & MapReduce integration: SQL-MapReduce 4. Most manageable Hadoop: Teradata Viewpoint & TVI 5. Comprehensive Discovery Portfolio: 100+ pre-built functions 6. Fully-engineered and supported by Teradata, backed by Hortonworks world-class Hadoop team 7. Cascading InfiniBand switches, hot node/ cluster expansion Benefits Leverage existing investments in standard BI, ETL tools & people with SQL skills Industry s highest performance platform for Big Analytics Lowest TCO (technology + people), highest ROI, and fastest time to value 23
24 Thank You! Questions and Answers 24
Artur Borycki. Director International Solutions Marketing
Artur Borycki Director International Solutions Agenda! Evolution of Teradata s Unified Architecture Analytical and Workloads! Teradata s Reference Information Architecture Evolution of Teradata s" Unified
More informationWelcome. Host: Eric Kavanagh. eric.kavanagh@bloorgroup.com. The Briefing Room. Twitter Tag: #briefr
The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com Twitter Tag: #briefr The Briefing Room Mission! Reveal the essential characteristics of enterprise software, good and bad! Provide
More informationTeradata s Big Data Technology Strategy & Roadmap
Teradata s Big Data Technology Strategy & Roadmap Artur Borycki, Director International Solutions Marketing 18 March 2014 Agenda > Introduction and level-set > Enabling the Logical Data Warehouse > Any
More informationUNIFY YOUR (BIG) DATA
UNIFY YOUR (BIG) DATA ANALYTIC STRATEGY GIVE ANY USER ANY ANALYTIC ON ANY DATA Scott Gnau President, Teradata Labs scott.gnau@teradata.com t Unify Your (Big) Data Analytic Strategy Technology excitement:
More informationTeradata Unified Big Data Architecture
Teradata Unified Big Data Architecture Agenda Recap the challenges of Big Analytics The 2 analytical gaps for most enterprises Teradata Unified Data Architecture - How we bridge the gaps - The 3 core elements
More informationBig Data and Your Data Warehouse Philip Russom
Big Data and Your Data Warehouse Philip Russom TDWI Research Director for Data Management May 7, 2013 Sponsor Speakers Philip Russom TDWI Research Director, Data Management Chris Twogood VP, Product and
More informationInvestor Presentation. Second Quarter 2015
Investor Presentation Second Quarter 2015 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences
More informationIntegrated Big Data: Hadoop + DBMS + Discovery for SAS High Performance Analytics
Paper 1828-2014 Integrated Big Data: Hadoop + DBMS + Discovery for SAS High Performance Analytics John Cunningham, Teradata Corporation, Danville, CA ABSTRACT SAS High Performance Analytics (HPA) is a
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 informationGanzheitliches Datenmanagement
Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist
More informationINVESTOR PRESENTATION. First Quarter 2014
INVESTOR PRESENTATION First Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences
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 informationHarnessing the Value of Big Data Analytics
Big Data Analytics Harnessing the Value of Big Data Analytics How to Gain Business Insight Using MapReduce and Apache Hadoop with SQL-Based Analytics By: Shaun Connolly, VP, Corporate Strategy, Hortonworks
More informationINVESTOR PRESENTATION. Third Quarter 2014
INVESTOR PRESENTATION Third Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences
More informationArchitecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing
Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Wayne W. Eckerson Director of Research, TechTarget Founder, BI Leadership Forum Business Analytics
More informationADVANCED ANALYTICS AND FRAUD DETECTION THE RIGHT TECHNOLOGY FOR NOW AND THE FUTURE
ADVANCED ANALYTICS AND FRAUD DETECTION THE RIGHT TECHNOLOGY FOR NOW AND THE FUTURE Big Data Big Data What tax agencies are or will be seeing! Big Data Large and increased data volumes New and emerging
More informationSAP and Hortonworks Reference Architecture
SAP and Hortonworks Reference Architecture Hortonworks. We Do Hadoop. June Page 1 2014 Hortonworks Inc. 2011 2014. All Rights Reserved A Modern Data Architecture With SAP DATA SYSTEMS APPLICATIO NS Statistical
More informationThe Future of Data Management
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class
More informationHarnessing the Value of Big Data Analytics
Harnessing the Value of Harnessing the Value of By: Shaun Connolly, Vice President, Corporate Strategy, Hortonworks Steve Wooledge, Sr. Director, Product Marketing, Teradata How to Gain Business Insight
More informationUp Your R Game. James Taylor, Decision Management Solutions Bill Franks, Teradata
Up Your R Game James Taylor, Decision Management Solutions Bill Franks, Teradata Today s Speakers James Taylor Bill Franks CEO Chief Analytics Officer Decision Management Solutions Teradata 7/28/14 3 Polling
More informationHIGH PERFORMANCE ANALYTICS FOR TERADATA
F HIGH PERFORMANCE ANALYTICS FOR TERADATA F F BORN AND BRED IN FINANCIAL SERVICES AND HEALTHCARE. DECADES OF EXPERIENCE IN PARALLEL PROGRAMMING AND ANALYTICS. FOCUSED ON MAKING DATA SCIENCE HIGHLY PERFORMING
More informationUNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX
UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX 1 Successful companies know that analytics are key to winning customer loyalty, optimizing business processes and beating their
More informationLuncheon Webinar Series May 13, 2013
Luncheon Webinar Series May 13, 2013 InfoSphere DataStage is Big Data Integration Sponsored By: Presented by : Tony Curcio, InfoSphere Product Management 0 InfoSphere DataStage is Big Data Integration
More informationHDP Enabling the Modern Data Architecture
HDP Enabling the Modern Data Architecture Herb Cunitz President, Hortonworks Page 1 Hortonworks enables adoption of Apache Hadoop through HDP (Hortonworks Data Platform) Founded in 2011 Original 24 architects,
More informationSAS and Teradata Partnership
SAS and Teradata Partnership Ed Swain Senior Industry Consultant Energy & Resources Ed.Swain@teradata.com 1 Innovation and Leadership Teradata SAS Magic Quadrant for Data Warehouse Database Management
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 informationThe Future of Data Management with Hadoop and the Enterprise Data Hub
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees
More informationExtend your analytic capabilities with SAP Predictive Analysis
September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics
More informationBig Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect
Big Data & QlikView Democratizing Big Data Analytics David Freriks Principal Solution Architect TDWI Vancouver Agenda What really is Big Data? How do we separate hype from reality? How does that relate
More informationTERADATA QUERY GRID. Teradata User Group September 2014
TERADATA QUERY GRID Teradata User Group September 2014 2 9/15/2014 Teradata Confidential Teradata s View Big Data and Data in General DATA enables INSIGHTS which drive ACTIONS to provide BUSINESS ADVANTAGE
More informationHow To Use Big Data For Business
Big Data Maturity - The Photo and The Movie Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson Mike
More informationCERULIUM TERADATA COURSE CATALOG
CERULIUM TERADATA COURSE CATALOG Cerulium Corporation has provided quality Teradata education and consulting expertise for over seven years. We offer customized solutions to maximize your warehouse. Prepared
More informationHow To Analyze Data In A Database In A Microsoft Microsoft Computer System
Big Data Technical Workshop Sept 24 Minneapolis, MN Data Discovery, Modern Architecture & Visualization Big Data Discovery Demo: Financial Services Customer Journey 1 9/25/2014 AGENDA Key Functionality
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 informationCollaborative Big Data Analytics. Copyright 2012 EMC Corporation. All rights reserved.
Collaborative Big Data Analytics 1 Big Data Is Less About Size, And More About Freedom TechCrunch!!!!!!!!! Total data: bigger than big data 451 Group Findings: Big Data Is More Extreme Than Volume Gartner!!!!!!!!!!!!!!!
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 informationBeyond Lambda - how to get from logical to physical. Artur Borycki, Director International Technology & Innovations
Beyond Lambda - how to get from logical to physical Artur Borycki, Director International Technology & Innovations Simplification & Efficiency Teradata believe in the principles of self-service, automation
More informationOracle Big Data SQL Technical Update
Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical
More informationComprehensive Analytics on the Hortonworks Data Platform
Comprehensive Analytics on the Hortonworks Data Platform We do Hadoop. Page 1 Page 2 Back to 2005 Page 3 Vertical Scaling Page 4 Vertical Scaling Page 5 Vertical Scaling Page 6 Horizontal Scaling Page
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 informationIBM BigInsights for Apache Hadoop
IBM BigInsights for Apache Hadoop Efficiently manage and mine big data for valuable insights Highlights: Enterprise-ready Apache Hadoop based platform for data processing, warehousing and analytics Advanced
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 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 informationReal-Time Data Access Using Restful Framework for Multi-Platform Data Warehouse Environment
www.wipro.com Real-Time Data Access Using Restful Framework for Multi-Platform Data Warehouse Environment Pon Prabakaran Shanmugam, Principal Consultant, Wipro Analytics practice Table of Contents 03...Abstract
More informationOracle Database 12c Plug In. Switch On. Get SMART.
Oracle Database 12c Plug In. Switch On. Get SMART. Duncan Harvey Head of Core Technology, Oracle EMEA March 2015 Safe Harbor Statement The following is intended to outline our general product direction.
More informationDatenverwaltung im Wandel - Building an Enterprise Data Hub with
Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees
More informationNavigating Big Data business analytics
mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining what
More informationBig Data, Start Small! Dr. Frank Säuberlich, Director Advanced Analytics (Teradata International) 26 th May 2015
Big Data, Start Small! Dr. Frank Säuberlich, Director Advanced Analytics (Teradata International) 26 th May 2015 Agenda Introduction Big Data And The Emergence Of The Logical Data Warehouse Architecture
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 informationIntegrating Hadoop. Into Business Intelligence & Data Warehousing. Philip Russom TDWI Research Director for Data Management, April 9 2013
Integrating Hadoop Into Business Intelligence & Data Warehousing Philip Russom TDWI Research Director for Data Management, April 9 2013 TDWI would like to thank the following companies for sponsoring the
More informationRamesh Bhashyam Teradata Fellow Teradata Corporation bhashyam.ramesh@teradata.com
Challenges of Handling Big Data Ramesh Bhashyam Teradata Fellow Teradata Corporation bhashyam.ramesh@teradata.com Trend Too much information is a storage issue, certainly, but too much information is also
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 informationIntegrating a Big Data Platform into Government:
Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government
More informationA Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel
A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated
More informationMDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy. Satish Krishnaswamy VP MDM Solutions - Teradata
MDM for the Enterprise: Complementing and extending your Active Data Warehousing strategy Satish Krishnaswamy VP MDM Solutions - Teradata 2 Agenda MDM and its importance Linking to the Active Data Warehousing
More informationHadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services
Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the
More informationData Governance in the Hadoop Data Lake. Michael Lang May 2015
Data Governance in the Hadoop Data Lake Michael Lang May 2015 Introduction Product Manager for Teradata Loom Joined Teradata as part of acquisition of Revelytix, original developer of Loom VP of Sales
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 informationData Integration Checklist
The need for data integration tools exists in every company, small to large. Whether it is extracting data that exists in spreadsheets, packaged applications, databases, sensor networks or social media
More information5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014
5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for
More informationMike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.
Mike Maxey Senior Director Product Marketing Greenplum A Division of EMC 1 Greenplum Becomes the Foundation of EMC s Big Data Analytics (July 2010) E M C A C Q U I R E S G R E E N P L U M For three years,
More informationApache Hadoop: The Big Data Refinery
Architecting the Future of Big Data Whitepaper Apache Hadoop: The Big Data Refinery Introduction Big data has become an extremely popular term, due to the well-documented explosion in the amount of data
More informationwww.ducenit.com Analance Data Integration Technical Whitepaper
Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring
More informationHow To Turn Big Data Into An Insight
mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s needed
More informationHarnessing big data with Hortonworks Data Platform and Red Hat JBoss Data Virtualization
Harnessing big data with Hortonworks Data Platform and Red Hat JBoss Data Virtualization Kimberly Palko, Product Manager Red Hat JBoss Doug Reid, Director Partner Product Management Hortonworks Cojan van
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 informationDiscovering Business Insights in Big Data Using SQL-MapReduce
Discovering Business Insights in Big Data Using SQL-MapReduce A Technical Whitepaper Rick F. van der Lans Independent Business Intelligence Analyst R20/Consultancy July 2013 Sponsored by Copyright 2013
More informationBringing the Power of SAS to Hadoop. White Paper
White Paper Bringing the Power of SAS to Hadoop Combine SAS World-Class Analytic Strength with Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities Contents Introduction... 1 What
More informationPlease give me your feedback
Please give me your feedback Session BB4089 Speaker Claude Lorenson, Ph. D and Wendy Harms Use the mobile app to complete a session survey 1. Access My schedule 2. Click on this session 3. Go to Rate &
More informationSQL Server 2012 Parallel Data Warehouse. Solution Brief
SQL Server 2012 Parallel Data Warehouse Solution Brief Published February 22, 2013 Contents Introduction... 1 Microsoft Platform: Windows Server and SQL Server... 2 SQL Server 2012 Parallel Data Warehouse...
More informationThe Enterprise Data Hub and The Modern Information Architecture
The Enterprise Data Hub and The Modern Information Architecture Dr. Amr Awadallah CTO & Co-Founder, Cloudera Twitter: @awadallah 1 2013 Cloudera, Inc. All rights reserved. Cloudera Overview The Leader
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 informationDriving Value From Big Data
Big Data Executive Forum Data Discovery, Modern Architecture & Visualization Driving Value From Big Data Bill Franks Chief Analytics Officer, Teradata It s Not So Much Big Data As it is different data.
More informationwww.sryas.com Analance Data Integration Technical Whitepaper
Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring
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 informationCapitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes
Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Highly competitive enterprises are increasingly finding ways to maximize and accelerate
More informationAdvanced In-Database Analytics
Advanced In-Database Analytics Tallinn, Sept. 25th, 2012 Mikko-Pekka Bertling, BDM Greenplum EMEA 1 That sounds complicated? 2 Who can tell me how best to solve this 3 What are the main mathematical functions??
More informationEnd Small Thinking about Big Data
CITO Research End Small Thinking about Big Data SPONSORED BY TERADATA Introduction It is time to end small thinking about big data. Instead of thinking about how to apply the insights of big data to business
More informationHow To Make Data Streaming A Real Time Intelligence
REAL-TIME OPERATIONAL INTELLIGENCE Competitive advantage from unstructured, high-velocity log and machine Big Data 2 SQLstream: Our s-streaming products unlock the value of high-velocity unstructured log
More informationBig Data Analytics. Copyright 2011 EMC Corporation. All rights reserved.
Big Data Analytics 1 Priority Discussion Topics What are the most compelling business drivers behind big data analytics? Do you have or expect to have data scientists on your staff, and what will be their
More informationMapR: Best Solution for Customer Success
2015 MapR Technologies 2015 MapR Technologies 1 MapR: Best Solution for Customer Success Best Product High Growth 700+ Customers Premier Investors Apache Open Source 2X 2X Growth In Direct Customers Growth
More informationHortonworks CISC Innovation day
Hortonworks CISC Innovation day Simon gregory sgregory@hortonworks.com Here was the ask Hortonworks' data reposition - how this works and the types of data you work with. 1: Data Types & Value. What have
More informationGO BIG WITH DATA PLATFORMS: HADOOP AND TERADATA 1700
GO BIG WITH DATA PLATFORMS: HADOOP AND TERADATA 1700 Cesar Rojas Director of Product Marketing Data Science & Hadoop cesar.rojas@teradata.com Spring Teradata User Group Meetings: Los Angeles AGENDA What
More informationSession 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges
Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges James Campbell Corporate Systems Engineer HP Vertica jcampbell@vertica.com Big
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 informationOpen Source in Financial Services: Meet the challenges of new business models and disruption
Open Source in Financial Services: Meet the challenges of new business models and disruption Speakers Vamsi Chemitiganti, General Manager Financial Services, Hortonworks Josh West, Senior Solutions Architect,
More informationExecutive Summary... 2 Introduction... 3. Defining Big Data... 3. The Importance of Big Data... 4 Building a Big Data Platform...
Executive Summary... 2 Introduction... 3 Defining Big Data... 3 The Importance of Big Data... 4 Building a Big Data Platform... 5 Infrastructure Requirements... 5 Solution Spectrum... 6 Oracle s Big Data
More informationHadoop and Relational Database The Best of Both Worlds for Analytics Greg Battas Hewlett Packard
Hadoop and Relational base The Best of Both Worlds for Analytics Greg Battas Hewlett Packard The Evolution of Analytics Mainframe EDW Proprietary MPP Unix SMP MPP Appliance Hadoop? Questions Is Hadoop
More informationEMC/Greenplum Driving the Future of Data Warehousing and Analytics
EMC/Greenplum Driving the Future of Data Warehousing and Analytics EMC 2010 Forum Series 1 Greenplum Becomes the Foundation of EMC s Data Computing Division E M C A CQ U I R E S G R E E N P L U M Greenplum,
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 informationCloudera Enterprise Data Hub in Telecom:
Cloudera Enterprise Data Hub in Telecom: Three Customer Case Studies Version: 103 Table of Contents Introduction 3 Cloudera Enterprise Data Hub for Telcos 4 Cloudera Enterprise Data Hub in Telecom: Customer
More informationBig Data Integration: A Buyer's Guide
SEPTEMBER 2013 Buyer s Guide to Big Data Integration Sponsored by Contents Introduction 1 Challenges of Big Data Integration: New and Old 1 What You Need for Big Data Integration 3 Preferred Technology
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 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 informationWhy Big Data in the Cloud?
Have 40 Why Big Data in the Cloud? Colin White, BI Research January 2014 Sponsored by Treasure Data TABLE OF CONTENTS Introduction The Importance of Big Data The Role of Cloud Computing Using Big Data
More informationBringing Intergalactic Data Speak (a.k.a.: SQL) to Hadoop Martin Willcox [@willcoxmnk], Director Big Data Centre of Excellence (Teradata
Bringing Intergalactic Data Speak (a.k.a.: SQL) to Hadoop Martin Willcox [@willcoxmnk], Director Big Data Centre of Excellence (Teradata International) 4 th June 2015 Agenda A (very!) short history of
More informationIntroducing Oracle Exalytics In-Memory Machine
Introducing Oracle Exalytics In-Memory Machine Jon Ainsworth Director of Business Development Oracle EMEA Business Analytics 1 Copyright 2011, Oracle and/or its affiliates. All rights Agenda Topics Oracle
More informationA Modern Data Architecture with Apache Hadoop
Modern Data Architecture with Apache Hadoop Talend Big Data Presented by Hortonworks and Talend Executive Summary Apache Hadoop didn t disrupt the datacenter, the data did. Shortly after Corporate IT functions
More information