Data Management in der Ära von Big Data

Size: px
Start display at page:

Download "Data Management in der Ära von Big Data"

Transcription

1 Data Management in der Ära von Big Data Eine neue Generation der Geschwindigkeit und Effizienz Harald Gröger IBM Big Data 2013 IBM Corporation

2 IBM Big Data Strategie: Analyse näher zu den Daten bringen Ingestion and Real-time Analytic Zone and Reporting Zone Warehousing Zone BI & Reporting Connectors Enterprise Warehouse Predictive MapReduce Hive/HBase Col Stores Data Marts Documents in variety of formats Landing and Sandbox Zone Integration and Governance Zone

3 Analyze amounts of data data that were impossible to analyze before (in time) T-Mobile scales engineering success with PureData System for Need Everything that we do with Netezza was pretty much impossible before. It was a complete change in our experience of data warehousing when we moved to Netezza. Christine Twinord, Manager of Network Solutions, T-Mobile USA They have even begun an initiative with social networking analytics, where they have been able to access in real-time, which can help to prevent churn Provide end-to-end extraction for downstream applications including revenue assurance, billing and customer care. Provide longer retention and more meaningful results for click stream data Benefits Reduce tax and call-routing fees by using the data stored to defend against false claims Acquire dropped-call and churn-reduction analysis capabilities Increase network availability by identifying and fixing any network holes Storage capacity increased from 100 TB to 2 PB IBM PureData System for (powered by Netezza technology)

4 IBM Big Data Referenzen Ingestion and Real-time Analytic Zone and Reporting Zone Warehousing Zone Connectors MapReduce Hive/HBase Col Stores T-Mobile USA analytics Enterprise Warehouse false claims churn reduction network Data availability Marts PD4A / NZ BI & Reporting Predictive Documents in variety of formats Landing and Sandbox Zone Integration and Governance Zone

5 Petabyte analysis in hours with reduced IT and reduced financial risk Vestas optimizes capital investments based on 2.5 Petabytes of information Need We can give customers much better financial warrantees than we have been able to in the past and can provide a solid business case that is on par with any other investment that they may have. Lars Christian Christensen, Vice President, Vestas Wind Systems A/S Wind turbines are a multi-million dollar investment with a lifespan of 20 to 30 years. A large number of location-dependent factors must be considered including temperature, precipitation, wind velocity, humidity, and atmospheric pressure. Model the weather to optimize placement of turbines, maximizing power generation and longevity Benefits Reduce time required to identify placement of turbine from weeks to hours Reduces IT footprint and costs, and decreases energy consumption by 40 % -- while increasing computational power Incorporate 2.5 PB of structured and semistructured information flows. Data volume expected to grow to 6 PB IBM InfoSphere BigInsights

6 IBM Big Data Referenzen Ingestion and Real-time Analytic Zone and Reporting Zone Warehousing Zone Connectors VestasMapReduce 2.5 PB (weather model) optimize placement maximize power maximize longevity BigInsights Documents in variety of formats Hive/HBase Col Stores T-Mobile USA analytics Enterprise Warehouse false claims churn reduction network Data availability Marts PD4A / NZ BI & Reporting Predictive Landing and Sandbox Zone Integration and Governance Zone

7 Early warnings based on subtle moment-bymoment changes I could see that there were enormous opportunities to capture, store and utilize this data in real time to improve the quality of care for neonatal babies. Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, University of Ontario Institute of Technology Holds the potential to give clinicians an unprecedented ability to interpret vast amounts of heterogeneous data in real time, enabling them to spot subtle trends Provides a flexible platform that can adapt to a wide variety of medical monitoring needs University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies Need Performing real-time analytics using physiological data from neonatal babies Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner Early warning gives caregivers the ability to proactively deal with complications Benefits: Detecting life threatening conditions 24 hours sooner than symptoms exhibited Lower morbidity and improved patient care IBM InfoSphere IBM DB2

8 IBM Big Data Referenzen Ingestion and Real-time Analytic Zone and Reporting Zone Connectors University of Ontario early warning (babies) detect subtle changes 24 h before symptoms lower morbidity VestasMapReduce 2.5 PB (weather model) optimize placement maximize power maximize longevity BigInsights Documents in variety of formats Hive/HBase Col Stores Warehousing Zone T-Mobile USA analytics Enterprise Warehouse false claims churn reduction network Data availability Marts PD4A / NZ BI & Reporting Predictive Landing and Sandbox Zone Integration and Governance Zone

9 Single view across all data silos to reduce cost and improve productivity Leading insurance provider call center enables 14,000 agents with single view of customer and product data Need The company has reduced costs to hire and train new agents, and InfoSphere Data Explorer Case has Study delivered link value equal to 141 fulltime employees, saving USD11.2 million per year. mon/ssi/ecm/en/imc14799usen /IMC14799USEN.PDF Call center agents sometimes had to access all applications to handle just one call opening multiple windows and jumping from one application to the next. Integrate huge volumes of data from across multiple sources and applications and effectively support managing inbound customer calls. Seamlessly connect disparate data sources and provide quick, fluid access to organizational information in a single unified view from one access point Inefficient access to huge volumes of siloed customer and product data reduced agent productivity and increased average call handle time. Agents needed faster access to information Benefits Improved productivity for 14,000 agents, saving an average of 3 seconds on call handle time, and millions of dollars annually Helped ensure percent uptime at every location, delivering a commanding query-persecond speed Improved application performance to support daily operations and business users at 180 sites IBM InfoSphere Data Explorer

10 IBM Big Data Referenzen Ingestion and Real-time Analytic Zone and Reporting Zone Connectors University of Ontario early warning (babies) detect subtle changes 24 h before symptoms lower morbidity VestasMapReduce 2.5 PB (weather model) optimize placement maximize power maximize longevity BigInsights Documents in variety of formats Hive/HBase Col Stores Warehousing Zone T-Mobile USA analytics Enterprise Warehouse false claims churn reduction network Data availability Marts PD4A / NZ Insurance Provider single BI view & on Reporting customer > agents 180 sites saves Predictive 3 sec per call 11.2 mio $ savings per year Data Explorer Landing and Sandbox Zone Integration and Governance Zone

11 IBM bietet eine komplette Plattform für Analysen Ingestion and Real-time Analytic Zone and Reporting Zone Industry App System BLU Acceleration Predictive Big SQL Application Development Functional App Connectors Data Warehouse Content 2 H 1 3 Information Integration & Governance Landing and Sandbox Zone Integration and Governance Zone Analytic Applications Systems Management Exploration / Stream Computing BI / Reporting Warehousing Zone

12 Data Management in der Ära von Big Data Eine neue Generation der Geschwindigkeit und Effizienz Datenbank-Analyse PureData, DB2 BLU Stream Computing Kosteneffektive Analyse InfoSphere BigInsights, BigSQL, PureData Datenstrom-Analyse InfoSphere Beschleunigte Analyse System Soziale Medien, Maschinen, Mining, Zeitreihen Systems Management IBM Big Data Platform Data Warehouse Application Development Accelerators BI / Reporting Exploration / Functional App Industry App Predictive Analytic Applications Erforschende Analyse InfoSphere Data Explorer Content Integration und Governance Information Integration & Governance InfoSphere Information Server, Optim, Guardium

How the oil and gas industry can gain value from Big Data?

How the oil and gas industry can gain value from Big Data? How the oil and gas industry can gain value from Big Data? Arild Kristensen Nordic Sales Manager, Big Data Analytics arild.kristensen@no.ibm.com, tlf. +4790532591 April 25, 2013 2013 IBM Corporation Dilbert

More information

IBM Big Data. Hadoop-tietoisku kumppaneille Pekka Leppänen, IBM Analytics Platform Leader Finland. 2015 IBM Corporation

IBM Big Data. Hadoop-tietoisku kumppaneille Pekka Leppänen, IBM Analytics Platform Leader Finland. 2015 IBM Corporation IBM Big Data Hadoop-tietoisku kumppaneille Pekka Leppänen, IBM Analytics Platform Leader Finland 2015 IBM Corporation Agenda 8.30 Aamiainen ja ilmoittautuminen 9:10 9:45 Keskeiset toimijat ja trendit markkinoilla

More information

Big Data & Analytics Heute & Morgen

Big Data & Analytics Heute & Morgen Big Data & Analytics Heute & Morgen Dipl.Ing.Wolfgang Nimführ Business Development Executive Big Data Analytics Watson Ambassador IBM Analytics Group Europe 2015 IBM Corporation The World of Big Data &

More information

University of Ontario Institute of Technology

University of Ontario Institute of Technology University of Ontario Institute of Technology Leveraging key data to provide proactive patient care Overview The need To better detect subtle warning signs of complications, clinicians need to gain greater

More information

IBM Big Data Platform

IBM Big Data Platform IBM Big Data Platform Turning big data into smarter decisions Stefan Söderlund. IBM kundarkitekt, Försvarsmakten Sesam vår-seminarie Big Data, Bigga byte kräver Pigga Hertz! May 16, 2013 By 2015, 80% of

More information

IBM Data Warehousing and Analytics Portfolio Summary

IBM Data Warehousing and Analytics Portfolio Summary IBM Information Management IBM Data Warehousing and Analytics Portfolio Summary Information Management Mike McCarthy IBM Corporation mmccart1@us.ibm.com IBM Information Management Portfolio Current Data

More information

IBM Big Data in Government

IBM Big Data in Government IBM Big in Government Turning big data into smarter decisions Deepak Mohapatra Sr. Consultant Government IBM Software Group dmohapatra@us.ibm.com The Big Paradigm Shift 2 Big Creates A Challenge And an

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

Big Data Little Impact?

Big Data Little Impact? Big Data Little Impact? Raising the bar for "Data Science" Alexander Lang (alexlang@de.ibm.com) Let s set the record straight Big Data is irrelevant Big Data Analytics is relevant Is the Big in Big Data

More information

Big Data and Trusted Information

Big Data and Trusted Information Dr. Oliver Adamczak Big Data and Trusted Information CAS Single Point of Truth 7. Mai 2012 The Hype Big Data: The next frontier for innovation, competition and productivity McKinsey Global Institute 2012

More information

Sources: Summary Data is exploding in volume, variety and velocity timely

Sources: Summary Data is exploding in volume, variety and velocity timely 1 Sources: The Guardian, May 2010 IDC Digital Universe, 2010 IBM Institute for Business Value, 2009 IBM CIO Study 2010 TDWI: Next Generation Data Warehouse Platforms Q4 2009 Summary Data is exploding

More information

IBM Information Management Overview

IBM Information Management Overview Reto Cavegn, IBM Softw are Group Schw eiz September 6, 2012 IBM Information Management Overview Tech Data Truck Day Information Management Information is at the center of a new wave of opportunity Information

More information

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data IBM Software Group Important Disclaimer THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL

More information

Big Data and Analytics In Healthcare Overview

Big Data and Analytics In Healthcare Overview Big Data and Analytics In Healthcare Overview Fueling the Journey Toward Better Outcomes Sri Srinivasan, Global Industry Leader, Big Data & Analytics Healthcare & Life Sciences September 2014 Market forces

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

IBM 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 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 information

Big Data & Analytics for Semiconductor Manufacturing

Big Data & Analytics for Semiconductor Manufacturing Big Data & Analytics for Semiconductor Manufacturing 半 導 体 生 産 におけるビッグデータ 活 用 Ryuichiro Hattori 服 部 隆 一 郎 Intelligent SCM and MFG solution Leader Global CoC (Center of Competence) Electronics team General

More information

Poslovni slučajevi upotrebe IBM Netezze

Poslovni slučajevi upotrebe IBM Netezze Poslovni slučajevi upotrebe IBM Netezze data at the Speed and with Simplicity businesses need 25. ožujak 2015. vedran.travica@hr.ibm.com Agenda A. IBM PureData for Analytics Netezza B. Scenarij 1.: Novi

More information

Exploiting Data at Rest and Data in Motion with a Big Data Platform

Exploiting Data at Rest and Data in Motion with a Big Data Platform Exploiting Data at Rest and Data in Motion with a Big Data Platform Sarah Brader, sarah_brader@uk.ibm.com What is Big Data? Where does it come from? 12+ TBs of tweet data every day 30 billion RFID tags

More information

Focus on the business, not the business of data warehousing!

Focus on the business, not the business of data warehousing! Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and Appliances @ARonthal 1 Disclaimer Copyright IBM Corporation 2014.

More information

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada What is big data? Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada 1 2011 IBM Corporation Agenda The world is changing What

More information

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Real World Use of BIG DATA Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Building a smarter planet Gaining Insight from your Information

More information

IBM BigInsights for Apache Hadoop

IBM 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 information

Beyond Watson: The Business Implications of Big Data

Beyond Watson: The Business Implications of Big Data Beyond Watson: The Business Implications of Big Data Shankar Venkataraman IBM Program Director, STSM, Big Data August 10, 2011 The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

2015 Ironside Group, Inc. 2

2015 Ironside Group, Inc. 2 2015 Ironside Group, Inc. 2 Introduction to Ironside What is Cloud, Really? Why Cloud for Data Warehousing? Intro to IBM PureData for Analytics (IPDA) IBM PureData for Analytics on Cloud Intro to IBM dashdb

More information

Luncheon Webinar Series May 13, 2013

Luncheon 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 information

Easy CramBible Lab DEMO ONLY VERSION. ** Single-user License ** This copy can be only used by yourself for educational purposes

Easy CramBible Lab DEMO ONLY VERSION. ** Single-user License ** This copy can be only used by yourself for educational purposes Easy CramBible Lab ** Single-user License ** 00M-643 IBM Information Management Solution Sales Mastery This copy can be only used by yourself for educational purposes Web: http://www.crambible.com/ E-mail:web@crambible.com

More information

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY Analytics for Enterprise Data Warehouse Management and Optimization Executive Summary Successful enterprise data management is an important initiative for growing

More information

Let Big Data connect the dots in your business

Let Big Data connect the dots in your business Let Big Data connect the dots in your business Big Data Conven-on - September 25, 2014 Golden Tulip Brussels Airport Falke Van Onacker Segment Leader for Big Data Analy4cs IBM SoIware Group Belgium & Luxembourg

More information

Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe

Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe 2012 IBM Corporation The Mega Trends Cloud Mobile Social Analytics 2014 International

More information

Managing big data for smart grids and smart meters

Managing big data for smart grids and smart meters IBM Software White Paper Information Management Managing big data for smart grids and smart meters Meet the challenge posed by the growing volume, velocity and variety of information in the energy industry

More information

Predictive Customer Intelligence

Predictive Customer Intelligence Sogeti 2015 Damiaan Zwietering zwietering@nl.ibm.com Predictive Customer Intelligence Customer expectations are driving companies towards being customer centric Find me Using visualization and analytics

More information

Ralph Behrens Client Technical Professional Big Data Certified Netezza Specialist IBM Software Group Deutschland. IBM BIG Data Plattform

Ralph Behrens Client Technical Professional Big Data Certified Netezza Specialist IBM Software Group Deutschland. IBM BIG Data Plattform Ralph Behrens Client Technical Professional Big Data Certified Netezza Specialist IBM Software Group Deutschland IBM BIG Data Plattform Data is the new Oil. Data is the just New like Oil crude. It s valuable,

More information

Architecting 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 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 information

P4.1 Reference Architectures for Enterprise Big Data Use Cases Romeo Kienzler, Data Scientist, Advisory Architect, IBM Germany, Austria, Switzerland

P4.1 Reference Architectures for Enterprise Big Data Use Cases Romeo Kienzler, Data Scientist, Advisory Architect, IBM Germany, Austria, Switzerland P4.1 Reference Architectures for Enterprise Big Data Use Cases Romeo Kienzler, Data Scientist, Advisory Architect, IBM Germany, Austria, Switzerland IBM Center of Excellence for Data Science, Cognitive

More information

Architecting for the Internet of Things & Big Data

Architecting for the Internet of Things & Big Data Architecting for the Internet of Things & Big Data Robert Stackowiak, Oracle North America, VP Information Architecture & Big Data September 29, 2014 Safe Harbor Statement The following is intended to

More information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically

More information

Einsatzfelder von IBM PureData Systems und Ihre Vorteile.

Einsatzfelder von IBM PureData Systems und Ihre Vorteile. Einsatzfelder von IBM PureData Systems und Ihre Vorteile demirkaya@de.ibm.com Agenda Information technology challenges PureSystems and PureData introduction PureData for Transactions PureData for Analytics

More information

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Demystifying Big Data Government Agencies & The Big Data Phenomenon Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed

More information

IBM Big Data HW Platform

IBM Big Data HW Platform IBM Big Data HW Platform Turning big data into smarter decisions Mujdat Timurcin IT Architect IBM Turk mujdat@tr.ibm.com September 29, 2013 Big data is a hot topic because technology makes it possible

More information

Big Data at the Speed of Business - IBM Innovationen für eine neue Ära

Big Data at the Speed of Business - IBM Innovationen für eine neue Ära Big Data at the Speed of Business - IBM Innovationen für eine neue Ära Udo Hertz, Director of Information Management Development IBM Deutschland 13. Juni 2013 2013 IBM Corporation Agenda 1 IBM s viewpoint

More information

DECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015

DECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015 Unifying People, Process, Data & Things CASE STUDY DECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015 Decisyon, Inc. 2015 All Rights Reserved TABLE OF CONTENTS THE BOTTOM

More information

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University Bussiness Intelligence and Data Warehouse Schedule Bussiness Intelligence (BI) BI tools Oracle vs. Microsoft Data warehouse History Tools Oracle vs. Others Discussion Business Intelligence (BI) Products

More information

IBM InfoSphere BigInsights Enterprise Edition

IBM InfoSphere BigInsights Enterprise Edition IBM InfoSphere BigInsights Enterprise Edition Efficiently manage and mine big data for valuable insights Highlights Advanced analytics for structured, semi-structured and unstructured data Professional-grade

More information

How Financial Services Firms Can Benefit From Streaming Analytics

How Financial Services Firms Can Benefit From Streaming Analytics How Financial Services Firms Can Benefit From Streaming Analytics > 2 VITRIA TECHNOLOGY, INC. > How Financial Services Firms Can Benefit From Streaming Analytics Streaming Analytics: Why It s Important

More information

Evolving Solutions Disruptive Technology Series Modern Data Warehouse

Evolving Solutions Disruptive Technology Series Modern Data Warehouse Evolving Solutions Disruptive Technology Series Modern Data Warehouse Presenter Kumar Kannankutty Big Data Platform Technical Sales Leader Host - Michael Downs, Solution Architect, Evolving Solutions www.evolvingsol.com

More information

Datenverwaltung im Wandel - Building an Enterprise Data Hub with

Datenverwaltung 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 information

Databricks. A Primer

Databricks. A Primer Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful

More information

IBM System x reference architecture solutions for big data

IBM System x reference architecture solutions for big data IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,

More information

IBM Data Retrieval Technologies: RDBMS, BLU, IBM Netezza, and Hadoop

IBM Data Retrieval Technologies: RDBMS, BLU, IBM Netezza, and Hadoop IBM Data Retrieval Technologies: RDBMS, BLU, IBM Netezza, and Hadoop Frank C. Fillmore, Jr. The Fillmore Group, Inc. Session Code: E13 Wed, May 06, 2015 (02:15 PM - 03:15 PM) Platform: Cross-platform Objectives

More information

I. TODAY S UTILITY INFRASTRUCTURE vs. FUTURE USE CASES...1 II. MARKET & PLATFORM REQUIREMENTS...2

I. TODAY S UTILITY INFRASTRUCTURE vs. FUTURE USE CASES...1 II. MARKET & PLATFORM REQUIREMENTS...2 www.vitria.com TABLE OF CONTENTS I. TODAY S UTILITY INFRASTRUCTURE vs. FUTURE USE CASES...1 II. MARKET & PLATFORM REQUIREMENTS...2 III. COMPLEMENTING UTILITY IT ARCHITECTURES WITH THE VITRIA PLATFORM FOR

More information

Beyond the Single View with IBM InfoSphere

Beyond the Single View with IBM InfoSphere Ian Bowring MDM & Information Integration Sales Leader, NE Europe Beyond the Single View with IBM InfoSphere We are at a pivotal point with our information intensive projects 10-40% of each initiative

More information

BIG DATA : PAST, PRESENT AND FUTURE - AN ANALYST S PERSPECTIVE

BIG DATA : PAST, PRESENT AND FUTURE - AN ANALYST S PERSPECTIVE BIG DATA : PAST, PRESENT AND FUTURE - AN ANALYST S PERSPECTIVE Carl Olofson : Research Vice President, IDC Mark Simmonds, IBM Enterprise Architect and Senior Product Marketing Manager, IBM Software Group

More information

The New Normal: Get Ready for the Era of Extreme Information Management. John Mancini President, AIIM @jmancini77 DigitalLandfill.

The New Normal: Get Ready for the Era of Extreme Information Management. John Mancini President, AIIM @jmancini77 DigitalLandfill. The New Normal: Get Ready for the Era of Extreme Information Management John Mancini President, AIIM @jmancini77 DigitalLandfill.org Giving Credit Where Credit is Due I didn t make up the term Extreme

More information

Addressing Open Source Big Data, Hadoop, and MapReduce limitations

Addressing Open Source Big Data, Hadoop, and MapReduce limitations Addressing Open Source Big Data, Hadoop, and MapReduce limitations 1 Agenda What is Big Data / Hadoop? Limitations of the existing hadoop distributions Going enterprise with Hadoop 2 How Big are Data?

More information

Delivering new insights and value to consumer products companies through big data

Delivering new insights and value to consumer products companies through big data IBM Software White Paper Consumer Products Delivering new insights and value to consumer products companies through big data 2 Delivering new insights and value to consumer products companies through big

More information

Tapping the power of big data for the oil and gas industry

Tapping the power of big data for the oil and gas industry IBM Software White Paper Petroleum Industry Tapping the power of big data for the oil and gas industry 2 Tapping the power of big data for the oil and gas industry The petroleum industry is no stranger

More information

www.ducenit.com Analance Data Integration Technical Whitepaper

www.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 information

A holistic approach to Big Data

A holistic approach to Big Data A holistic approach to Big Data Raul F. Chong Senior Big Data and Cloud Program Manager Big Data University Community Leader rfchong@ca.ibm.com 2013 BigDataUniversity.com Agenda The state of Big Data adoption

More information

IBM Big Data Platform

IBM Big Data Platform Mike Winer IBM Information Management IBM Big Data Platform The big data opportunity Extracting insight from an immense volume, variety and velocity of data, in a timely and cost-effective manner. Variety:

More information

BAO & Big Data Overview Applied to Real-time Campaign GSE. Joel Viale Telecom Solutions Lab Solution Architect. Telecom Solutions Lab

BAO & Big Data Overview Applied to Real-time Campaign GSE. Joel Viale Telecom Solutions Lab Solution Architect. Telecom Solutions Lab BAO & Big Data Overview Applied to Real-time Campaign GSE Joel Viale Telecom Solutions Lab Solution Architect Agenda BAO & Big Data - Overview Customer use-cases Live Prototypes: Streams for Real-time

More information

Leverage big data to fight claims fraud

Leverage big data to fight claims fraud Leverage big data to fight claims fraud How big data supports smarter approaches to addressing claims fraud Highlights Identify patterns and trends across emerging information to pinpoint fraudsters quickly

More information

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK 5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK CUSTOMER JOURNEY Technology is radically transforming the customer journey. Today s customers are more empowered and connected

More information

Big Data Analytics. Copyright 2011 EMC Corporation. All rights reserved.

Big 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 information

Real Time Big Data Processing

Real Time Big Data Processing Real Time Big Data Processing Cloud Expo 2014 Ian Meyers Amazon Web Services Global Infrastructure Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure

More information

IBM Data Strategy DB2 101

IBM Data Strategy DB2 101 IBM Data Strategy DB2 101 Agenda The Fillmore Group, IBM Business Partner What s New in 2013? Data Governance Information Integration Data Warehouse and Big Data Mainframe Update Competing with Oracle

More information

5 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 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 information

IBM BigInsights Has Potential If It Lives Up To Its Promise. InfoSphere BigInsights A Closer Look

IBM BigInsights Has Potential If It Lives Up To Its Promise. InfoSphere BigInsights A Closer Look IBM BigInsights Has Potential If It Lives Up To Its Promise By Prakash Sukumar, Principal Consultant at iolap, Inc. IBM released Hadoop-based InfoSphere BigInsights in May 2013. There are already Hadoop-based

More information

IBM Software. The MDM advantage: Creating insight from big data

IBM Software. The MDM advantage: Creating insight from big data IBM Software The MDM advantage: Creating insight from The MDM advantage: Creating insight from 1 2 3 4 5 6 Introduction The importance of understanding your How MDM enhances big data and vice Leveraging

More information

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal Information has gone from scarce to super-abundant. That brings huge new benefits. The Economist

More information

Modern Data Warehouse

Modern Data Warehouse 1 Modern Data Warehouse Are you ready for Big Data? Does your DWH / BI roadmap contain all the necessary components? IDG: Big data technologies describe a new generation of technologies and architectures,

More information

Quickly Deploy Microsoft Private Cloud and SQL Server 2012 Data Warehouse on Hitachi Converged Solutions. September 25, 2013

Quickly Deploy Microsoft Private Cloud and SQL Server 2012 Data Warehouse on Hitachi Converged Solutions. September 25, 2013 Quickly Deploy Microsoft Private Cloud and SQL Server 2012 Data Warehouse on Hitachi Converged Solutions September 25, 2013 1 WEBTECH EDUCATIONAL SERIES QUICKLY DEPLOY MICROSOFT PRIVATE CLOUD AND SQL SERVER

More information

Outline. BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives

Outline. BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives 1. Introduction Outline BI and Enterprise-wide decisions BI in different Business Areas BI Strategy, Architecture, and Perspectives 2 Case study: Netflix and House of Cards Source: Andrew Stephen 3 Case

More information

MANAGING THE REVENUE CYCLE WITH BUSINESS INTELLIGENCE: June 30, 2006 BUSINESS INTELLIGENCE FOR HEALTHCARE

MANAGING THE REVENUE CYCLE WITH BUSINESS INTELLIGENCE: June 30, 2006 BUSINESS INTELLIGENCE FOR HEALTHCARE MANAGING THE REVENUE CYCLE WITH BUSINESS INTELLIGENCE: June 30, 2006 BUSINESS INTELLIGENCE FOR HEALTHCARE Hospital manager and leadership positions face many challenges in today s healthcare environment

More information

www.sryas.com Analance Data Integration Technical Whitepaper

www.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 information

Master big data to optimize the oil and gas lifecycle

Master big data to optimize the oil and gas lifecycle Viewpoint paper Master big data to optimize the oil and gas lifecycle Information management and analytics (IM&A) helps move decisions from reactive to predictive Table of contents 4 Getting a handle on

More information

TRANSFORM BIG DATA INTO ACTIONABLE INFORMATION

TRANSFORM BIG DATA INTO ACTIONABLE INFORMATION TRANSFORM BIG DATA INTO ACTIONABLE INFORMATION Make Big Available for Everyone Syed Rasheed Solution Marketing Manager January 29 th, 2014 Agenda Demystifying Big Challenges Getting Bigger Red Hat Big

More information

IBM Netezza High Capacity Appliance

IBM Netezza High Capacity Appliance IBM Netezza High Capacity Appliance Petascale Data Archival, Analysis and Disaster Recovery Solutions IBM Netezza High Capacity Appliance Highlights: Allows querying and analysis of deep archival data

More information

Big Data Volume, Velocity, Variability

Big Data Volume, Velocity, Variability Big Fast Data Anwendungen und Lösungen der Software AG Big Data Volume, Velocity, Variability Dr. Jürgen Krämer VP Product Strategy IBO & Product Management Apama 20.02.2014 the time window to analyze

More information

Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics

Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics Please note the following IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

More information

TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY)

TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM ANALYTICS JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) info@technologytransfer.it www.technologytransfer.it

More information

Big Data Management and Security

Big Data Management and Security Big Data Management and Security Audit Concerns and Business Risks Tami Frankenfield Sr. Director, Analytics and Enterprise Data Mercury Insurance What is Big Data? Velocity + Volume + Variety = Value

More information

Modern Data Integration

Modern Data Integration Modern Data Integration Whitepaper Table of contents Preface(by Jonathan Wu)... 3 The Pardigm Shift... 4 The Shift in Data... 5 The Shift in Complexity... 6 New Challenges Require New Approaches... 6 Big

More information

Architecting your Business for Big Data Your Bridge to a Modern Information Architecture

Architecting your Business for Big Data Your Bridge to a Modern Information Architecture Architecting your Business for Big Data Your Bridge to a Modern Information Architecture Robert Stackowiak Vice President, Information Architecture & Big Data Oracle Safe Harbor Statement The following

More information

DevOps - en inngang til den Digtale Transformasjon Rapidly Deliver Exceptional Software

DevOps - en inngang til den Digtale Transformasjon Rapidly Deliver Exceptional Software DevOps - en inngang til den Digtale Transformasjon Rapidly Deliver Exceptional Software Pål Dragseth June 2015 Applications Are Changing the World of Business 84% Video US internet traffic by 2018 $142B

More information

Big Data and Analytics in Government

Big Data and Analytics in Government Big Data and Analytics in Government Nov 29, 2012 Mark Johnson Director, Engineered Systems Program 2 Agenda What Big Data Is Government Big Data Use Cases Building a Complete Information Solution Conclusion

More information

Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data

Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data Disruptive forces impact long standing business models across industries Pressure to do more with less Shift of power to the consumer

More information

Transforming Government with Big Data and Analytics

Transforming Government with Big Data and Analytics Transforming Government with Big Data and Analytics Deepak Mohapatra Sr. Consultant IBM Software Group dmohapatra@us.ibm.com April 29 th 2014 1 Big Data Creates A Challenge And an Opportunity Yet requires

More information

Il mondo dei DB Cambia : Tecnologie e opportunita`

Il mondo dei DB Cambia : Tecnologie e opportunita` Il mondo dei DB Cambia : Tecnologie e opportunita` Giorgio Raico Pre-Sales Consultant Hewlett-Packard Italiana 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject

More information

Please give me your feedback

Please give me your feedback Please give me your feedback Session DT4691 Speaker Brent Juelich Use the mobile app to complete a session survey 1. Access My schedule 2. Click on this session 3. Go to Rate & review If the session is

More information

Business Analytics The Key Element in Enterprise Big Data Initiatives

Business Analytics The Key Element in Enterprise Big Data Initiatives Business Analytics The Key Element in Enterprise Big Data Initiatives Mike Biere Rocket Software March 10, 2014 1:30pm 2:30pm Session Number (15314) Grand ballroom Salon G www.share.org Big Data what?

More information

BIG DATA THE NEW OPPORTUNITY

BIG DATA THE NEW OPPORTUNITY Feature Biswajit Mohapatra is an IBM Certified Consultant and a global integrated delivery leader for IBM s AMS business application modernization (BAM) practice. He is IBM India s competency head for

More information

BIG DATA: Big Opportunity, Big Headaches Protect your Big Data with data security

BIG DATA: Big Opportunity, Big Headaches Protect your Big Data with data security BIG DATA: Big Opportunity, Big Headaches Protect your Big Data with data security Marilene Roder WW Enablement, Guardium IBM Security Brazil Security Roadshow June 9-11, 2 015 12015 IBM Corporation 2014

More information

Big Data and Data Quality - Mutually Exclusive?

Big Data and Data Quality - Mutually Exclusive? Session 11929 Big Data and Data Quality - Mutually Exclusive? Tom Deutsch tdeutsch@us.ibm.com Program Director, Big Data August 9, 2012 Abstract It is popular to think that Big Data technologies are so

More information

Solutions for Communications with IBM Netezza Network Analytics Accelerator

Solutions for Communications with IBM Netezza Network Analytics Accelerator Solutions for Communications with IBM Netezza Analytics Accelerator The all-in-one network intelligence appliance for the telecommunications industry Highlights The Analytics Accelerator combines speed,

More information