EMC/Greenplum Driving the Future of Data Warehousing and Analytics

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "EMC/Greenplum Driving the Future of Data Warehousing and Analytics"

Transcription

1 EMC/Greenplum Driving the Future of Data Warehousing and Analytics EMC 2010 Forum Series 1

2 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, with expertise in the massively parallel arena, will give the storage giant a boost in big-data computing. InformationWeek 2

3 About EMC s Data Computing Division Driving the Future of Data Warehousing and Analytics Core Products: Greenplum Database 4.0 true MPP architecture and features that meet mandatory requirements of enterprise-class data warehousing Greenplum Database Single-Node Edition free version for data analysis power users Greenplum Data Computing Appliance price/performance leadership, industry s fastest data loading, and private cloud ready Greenplum Chorus the world s first Enterprise Data Cloud Platform We enable global organizations to gain greater insight and value from their data than ever before possible 3

4 Greenplum Database 4.0: Critical Mass Innovation 4.0 represents industry leading innovations in: Workload Management Fault-Tolerance Advanced Analytics Culmination of more than +7 years of research and development First vendor to achieve critical mass and maturity across all necessary aspects of enterprise class DBMS platforms Genuine floor-sweep replacement option for Teradata, Oracle, DB2, and SQL Server 4

5 Greenplum Single Node Edition Free, state-of-the-art, parallel analytic database Fully parallel execution leverages multi-core processors No storage capacity cap from GBs to 10s of TBs Hybrid row and column-oriented processing Ability to expand beyond SNE to massively parallel edition of Greenplum database Single Node Edition 5

6 Data Warehousing Requirements Fast Data Loading Extreme Performance & Elastic Scalability Unified Data Access 6

7 Key Technology Pillars World s fastest data loading Scatter / Gather streaming technology Fast query execution with linear scalability Shared-nothing MPP architecture Unified data access across the enterprise Dynamic query optimization and workload management 7

8 Scatter Gather TM Streaming for the world s fastest data loading speeds Parallel-everywhere approach to data loading Avoids the need for a loader tier of servers Supports both large batch and continuous near-realtime loading patterns 8

9 Shared-Nothing Architecture Massively Parallel Processing (MPP) Interconnect Loading Most scalable database architecture Optimized for BI and analytics Provides automatic parallelization No need for manual partitioning or tuning Just load and query like any database Tables are distributed across segments Each has a subset of the rows Extremely scalable and I/O optimized All nodes can scan and process in parallel No I/O contention between segments Linear scalability by adding nodes Each adds storage, query performance and loading performance 9

10 Unified Data Access Across The Enterprise Workload Management Connection management controls how many users can be connected and assigns them to a queue User-based resource queues allow for control of the total number or cost of queries allowed at any point in time. Dynamic Query Prioritization Patent pending technique of dynamically balancing resources across running queries Allows DBAs to control query priorities in real-time, or determine default priorities by resource queue 10

11 Greenplum Chorus: The World s First Enterprise Data Cloud Platform World s first Enterprise Data Cloud Platform (EDC), enabling: Self-service provisioning Data virtualization services Data collaboration Customers deploy Chorus along with VMware and the Greenplum Database to create a net new & self-service analytic infrastructure Chorus can significantly accelerate the time and ease with which companies extract value and insight from their data 11

12 Greenplum Chorus: Core Design Philosophies Secure Provide comprehensive and granular access control over whom is authorized to view and subscribe to data within Chorus Collaborative Facilitate the publishing, discovery, and sharing of data and insight using a social computing model that appears familiar and easy-to-use Data-centric Focus on the necessary tooling to manage the flow and provenance of data sets as they are created/shared within a company MAD Skills in Action Build a platform capable of supporting the magnetic, agile, and deep principles of MAD Skills 12

13 Our Customers Include 150+ global enterprise customers $250+ Million saved by customers choosing Greenplum over Teradata 5+ Billion shares analyzed daily by Financial Markets using Greenplum 20+ Trillion rows being mined for business value 1+ Billion consumers receiving more secure and personalize services from Greenplum customers 13

14 Response Time (Min) Customer Example: Regional Bank - Teradata Bake-Off Business Problem DW and data mart consolidation across banking regional bank operations Improved query performance for both operational and ad-hoc reporting In-database analytics to support advanced data mining initiatives Existing Solution Oracle Benefits over Teradata Open-systems, commodity HW Significantly better TCO Incremental scalability Better price-performance Response Time Improvement We turned to Greenplum because its massively parallel data warehousing approach is the only one robust and cost effective to grow with us over time. - SVP Corporate Finance 14

15 Response Time (Min) Customer Example: Investment Firm - Netezza Bake-Off Business Problem Exorbitant maintenance and support costs for Enterprise Data Warehouse Poor data load and ad-hoc query performance on existing Oracle system Scalable platform capable of consolidating multiple decision support DBMS Existing Solution Oracle Benefits over Netezza Open-systems, commodity HW Support model that fit with their existing data center operations Incremental scalability Better price-performance Response Time Improvement Queries that timed-out after 8 hours now run in less than 10 minutes. -Sr. Director Data Warehousing 15

16 TB/day Customer Example: Stock Exchange Business Problem Analytic database platform standard across global exchange operations Key Criteria Mission critical reliability High-concurrency, mixed-workload Incremental scalability Data Size 10TB - multi-hundred TB systems Loading 1TB/day to 2TB/day Result 6 production systems deployed globally Greenplum offers strong scalability advantages due to its highly parallel model that enables us to simply add more servers as data volumes expand. - CIO 16

17 Net Data Size (TB) Customer Example: Internet Media Business Problem Multi-hundred TB EDW to support $1B Internet advertising operation True mixed-workload environment supporting production reporting, ad-hoc data mining, and operational data services Competition Teradata, HP, Oracle, Netezza, Aster Data Data Size Results 1 trillion row fact table, adding 3TB/day Running successfully in production ~ 2 years Continuous operations mode while moving data centers across the country Scalability & Reliability Greenplum will be an invaluable partner as we continue to put our data to work in new ways that will improve both the user and advertiser experience on our network of sites. - EVP of Product, Tech &Ops 17

18 Greenplum Industry Solutions Mission: Drive the Adoption of Greenplum Software through the Creation of Industry-specific Analytic Solutions Strategic Objectives: Address Business Analytic Requirements of Specific Industries Raise Value Proposition from Technology to Business Solutions Develop Ecosystem of Analytic Application Service Providers and ISVs 18

19 Industry Sales Focus Financial Services Retail Telco Media Entertainment Energy Utilities Oil & Gas Healthcare Public Sector Federal SLED Greenplum Analytic Application Services and ISVs BI Tools Industry- Specific Data Feeds ETL Tools Industryspecific Analytic Application Services and ISVs Chorus Collaboration Open Interfaces Database 19

20 Implementation Services Partners Industry Sales & Strategic Partnerships Ecosystem Financial Services BI Tools Retail Industry- Specific Data Feeds Telco Media Entertainment Greenplum Analytic Application Services and ISVs ETL Tools Open Interfaces Energy Utilities Oil & Gas Industryspecific Analytic Application Services and ISVs Healthcare Public Sector Federal SLED Chorus Collaboration Database Infrastructure Partners 20

21 Feed Handler G-Tick Platform EMC Secure Tick Data Management for real-time and historical data EMC & Partners Real-time data Algo Trading Price Engine Trading Desks Trade, Position, Market Data Snapshots Trade Strategies Order Mgmt System Historical data Business Intelligence & Analytics Tools Risk Modeling Compliance Surveillance GemFire in-memory processing database Greenplum high performance analytic engine EMC Components & Partner components highlighted 21

22 Greenplum Value Prop Scalable Performance Efficiency Improvement Revenue Growth 22

23 Greenplum Value Prop Greenplum provides an agile analytics environment to address the life cycle of analytics in an enterprise. Chorus, Greenplum s Enterprise Data Cloud, provides a platform to consolidate and virtualize the various data mart silos into a private cloud environment. Greenplum is building out industry-specific solution suites where a higher level of integration is required to drive better time-to-value for various lines of business. Greenplum enables extreme scale, elastic expansion, self service provisioning and data collaboration. 23

24 Thank you 24

Advanced In-Database Analytics

Advanced 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 information

Big Data Analytics. with EMC Greenplum and Hadoop. Big Data Analytics. Ofir Manor Pre Sales Technical Architect EMC Greenplum

Big Data Analytics. with EMC Greenplum and Hadoop. Big Data Analytics. Ofir Manor Pre Sales Technical Architect EMC Greenplum Big Data Analytics with EMC Greenplum and Hadoop Big Data Analytics with EMC Greenplum and Hadoop Ofir Manor Pre Sales Technical Architect EMC Greenplum 1 Big Data and the Data Warehouse Potential All

More information

Collaborative Big Data Analytics. Copyright 2012 EMC Corporation. All rights reserved.

Collaborative 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 information

Mike 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. 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 information

Using Attunity Replicate with Greenplum Database Using Attunity Replicate for data migration and Change Data Capture to the Greenplum Database

Using Attunity Replicate with Greenplum Database Using Attunity Replicate for data migration and Change Data Capture to the Greenplum Database White Paper Using Attunity Replicate with Greenplum Database Using Attunity Replicate for data migration and Change Data Capture to the Greenplum Database Abstract This white paper explores the technology

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

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions G-Cloud Big Data Suite Powered by Pivotal December 2014 G-Cloud service definitions TABLE OF CONTENTS Service Overview... 3 Business Need... 6 Our Approach... 7 Service Management... 7 Vendor Accreditations/Awards...

More information

BIG DATA APPLIANCES. July 23, TDWI. R Sathyanarayana. Enterprise Information Management & Analytics Practice EMC Consulting

BIG DATA APPLIANCES. July 23, TDWI. R Sathyanarayana. Enterprise Information Management & Analytics Practice EMC Consulting BIG DATA APPLIANCES July 23, TDWI R Sathyanarayana Enterprise Information Management & Analytics Practice EMC Consulting 1 Big data are datasets that grow so large that they become awkward to work with

More information

SAP Real-time Data Platform. April 2013

SAP Real-time Data Platform. April 2013 SAP Real-time Data Platform April 2013 Agenda Introduction SAP Real Time Data Platform Overview SAP Sybase ASE SAP Sybase IQ SAP EIM Questions and Answers 2012 SAP AG. All rights reserved. 2 Introduction

More information

EMC CUSTOMER UPDATE. 31 mei 2011 Fort Voordorp. Bart Sjerps. Greenplum Data Warehouse. Copyright 2011 EMC Corporation. All rights reserved.

EMC CUSTOMER UPDATE. 31 mei 2011 Fort Voordorp. Bart Sjerps. Greenplum Data Warehouse. Copyright 2011 EMC Corporation. All rights reserved. EMC CUSTOMER UPDATE 31 mei 2011 Fort Voordorp Bart Sjerps Greenplum Data Warehouse 1 Introduction & Agenda What is Data warehousing? And what s Business Intelligence? Evolution in the Data Warehouse Business

More information

EMC GREENPLUM DATABASE

EMC GREENPLUM DATABASE EMC GREENPLUM DATABASE Driving the future of data warehousing and analytics Essentials A shared-nothing, massively parallel processing (MPP) architecture supports extreme performance on commodity infrastructure

More information

The Enterprise Data Hub and The Modern Information Architecture

The 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 information

Greenplum Database. Getting Started with Big Data Analytics. Ofir Manor Pre Sales Technical Architect, EMC Greenplum

Greenplum Database. Getting Started with Big Data Analytics. Ofir Manor Pre Sales Technical Architect, EMC Greenplum Greenplum Database Getting Started with Big Data Analytics Ofir Manor Pre Sales Technical Architect, EMC Greenplum 1 Agenda Introduction to Greenplum Greenplum Database Architecture Flexible Database Configuration

More information

EMC Federation Big Data Solutions. Copyright 2015 EMC Corporation. All rights reserved.

EMC Federation Big Data Solutions. Copyright 2015 EMC Corporation. All rights reserved. EMC Federation Big Data Solutions 1 Introduction to data analytics Federation offering 2 Traditional Analytics! Traditional type of data analysis, sometimes called Business Intelligence! Type of 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

Big Data and Its Impact on the Data Warehousing Architecture

Big Data and Its Impact on the Data Warehousing Architecture Big Data and Its Impact on the Data Warehousing Architecture Sponsored by SAP Speaker: Wayne Eckerson, Director of Research, TechTarget Wayne Eckerson: Hi my name is Wayne Eckerson, I am Director of Research

More information

Big Data and the Data Lake. February 2015

Big Data and the Data Lake. February 2015 Big Data and the Data Lake February 2015 My Vision: Our Mission Data Intelligence is a broad term that describes the real, meaningful insights that can be extracted from your data truths that you can act

More information

Grow your Business with. SQL Server Ramnik Gulati, Director of Product Marketing, SQL Server. November 4, 2015

Grow your Business with. SQL Server Ramnik Gulati, Director of Product Marketing, SQL Server. November 4, 2015 Grow your Business with SQL Server 2016 Ramnik Gulati, Director of Product Marketing, SQL Server November 4, 2015 SQL Server 2016: Everything built-in built-in built-in built-in built-in built-in $2,230

More information

Investor Presentation. Second Quarter 2015

Investor 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 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

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

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

Data Warehouse Appliances: The Next Wave of IT Delivery. Private Cloud (Revocable Access and Support) Applications Appliance. (License/Maintenance)

Data Warehouse Appliances: The Next Wave of IT Delivery. Private Cloud (Revocable Access and Support) Applications Appliance. (License/Maintenance) Appliances are rapidly becoming a preferred purchase option for large and small businesses seeking to meet expanding workloads and deliver ROI in the face of tightening budgets. TBR is reporting the results

More information

News and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren

News and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren News and trends in Data Warehouse Automation, Big Data and BI Johan Hendrickx & Dirk Vermeiren Extreme Agility from Source to Analysis DWH Appliances & DWH Automation Typical Architecture 3 What Business

More information

SQL Server 2012 Performance White Paper

SQL Server 2012 Performance White Paper Published: April 2012 Applies to: SQL Server 2012 Copyright The information contained in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication.

More information

Big Data Success Step 1: Get the Technology Right

Big Data Success Step 1: Get the Technology Right Big Data Success Step 1: Get the Technology Right TOM MATIJEVIC Director, Business Development ANDY MCNALIS Director, Data Management & Integration MetaScale is a subsidiary of Sears Holdings Corporation

More information

An Integrated Analytics & Big Data Infrastructure September 21, 2012 Robert Stackowiak, Vice President Data Systems Architecture Oracle Enterprise

An Integrated Analytics & Big Data Infrastructure September 21, 2012 Robert Stackowiak, Vice President Data Systems Architecture Oracle Enterprise An Integrated Analytics & Big Data Infrastructure September 21, 2012 Robert Stackowiak, Vice President Data Systems Architecture Oracle Enterprise Solutions Group The following is intended to outline our

More information

I/O Considerations in Big Data Analytics

I/O Considerations in Big Data Analytics Library of Congress I/O Considerations in Big Data Analytics 26 September 2011 Marshall Presser Federal Field CTO EMC, Data Computing Division 1 Paradigms in Big Data Structured (relational) data Very

More information

A Whole New World. Big Data Technologies Big Discovery Big Insights Endless Possibilities

A Whole New World. Big Data Technologies Big Discovery Big Insights Endless Possibilities A Whole New World Big Data Technologies Big Discovery Big Insights Endless Possibilities Dr. Phil Shelley Query Execution Time Why Big Data Technology? Days EDW Hours Hadoop Minutes Presto Seconds Milliseconds

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

SAP HANA SAP s In-Memory Database. Dr. Martin Kittel, SAP HANA Development January 16, 2013

SAP HANA SAP s In-Memory Database. Dr. Martin Kittel, SAP HANA Development January 16, 2013 SAP HANA SAP s In-Memory Database Dr. Martin Kittel, SAP HANA Development January 16, 2013 Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase

More information

Driving Peak Performance. 2013 IBM Corporation

Driving Peak Performance. 2013 IBM Corporation Driving Peak Performance 1 Session 2: Driving Peak Performance Abstract We know you want the fastest performance possible for your deployments, and yet that relies on many choices across data storage,

More information

The HP Neoview data warehousing platform for business intelligence

The HP Neoview data warehousing platform for business intelligence The HP Neoview data warehousing platform for business intelligence Ronald Wulff EMEA, BI Solution Architect HP Software - Neoview 2006 Hewlett-Packard Development Company, L.P. The inf ormation contained

More information

MASSIVEDATANEWS. Load and Go: Fast Data Loading with the Greenplum Data Computing Appliance (DCA)

MASSIVEDATANEWS. Load and Go: Fast Data Loading with the Greenplum Data Computing Appliance (DCA) Greenplum Data Computing Appliance (DCA) Introduction: Why Fast and Flexible Data Loading Matters Data loading is the beginning of the entire analytics process. Everything starts by getting data into the

More information

The Pros and Cons of Data Warehouse Appliances

The Pros and Cons of Data Warehouse Appliances TDWI WEBINAR SERIES The Pros and Cons of Data Warehouse Appliances Philip Russom Senior Manager of Research and Services TDWI: The Data Warehousing Institute prussom@tdwi.org www.tdwi.org Agenda Data Warehouse

More information

The Future of Data Management

The 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 information

Tagetik Extends Customer Value with SQL Server 2012

Tagetik Extends Customer Value with SQL Server 2012 Tagetik Extends Customer Value with SQL Server 2012 Author: Dave Kasabian Contributors: Marco Pierallini, Luca Pieretti Published: February 2012 Summary: As the 2011 Microsoft ISV Line of Business partner

More information

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage Moving Large Data at a Blinding Speed for Critical Business Intelligence A competitive advantage Intelligent Data In Real Time How do you detect and stop a Money Laundering transaction just about to take

More information

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata BIG DATA: FROM HYPE TO REALITY Leandro Ruiz Presales Partner for C&LA Teradata Evolution in The Use of Information Action s ACTIVATING MAKE it happen! Insights OPERATIONALIZING WHAT IS happening now? PREDICTING

More information

EMC BACKUP MEETS BIG DATA

EMC BACKUP MEETS BIG DATA EMC BACKUP MEETS BIG DATA Strategies To Protect Greenplum, Isilon And Teradata Systems 1 Agenda Big Data: Overview, Backup and Recovery EMC Big Data Backup Strategy EMC Backup and Recovery Solutions for

More information

QlikView Business Discovery Platform. Algol Consulting Srl

QlikView Business Discovery Platform. Algol Consulting Srl QlikView Business Discovery Platform Algol Consulting Srl Business Discovery Applications Application vs. Platform Application Designed to help people perform an activity Platform Provides infrastructure

More information

The HP Neoview data warehousing platform for business intelligence Die clevere Alternative

The HP Neoview data warehousing platform for business intelligence Die clevere Alternative The HP Neoview data warehousing platform for business intelligence Die clevere Alternative Ronald Wulff EMEA, BI Solution Architect HP Software - Neoview 2006 Hewlett-Packard Development Company, L.P.

More information

Internet of Things. Opportunity Challenges Solutions

Internet of Things. Opportunity Challenges Solutions Internet of Things Opportunity Challenges Solutions Copyright 2014 Boeing. All rights reserved. GPDIS_2015.ppt 1 ANALYZING INTERNET OF THINGS USING BIG DATA ECOSYSTEM Internet of Things matter for... Industrial

More information

How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW

How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW How to make BIG DATA work for you. Faster results with Microsoft SQL Server PDW Roger Breu PDW Solution Specialist Microsoft Western Europe Marcus Gullberg PDW Partner Account Manager Microsoft Sweden

More information

Data Lake In Action: Real-time, Closed Looped Analytics On Hadoop

Data Lake In Action: Real-time, Closed Looped Analytics On Hadoop 1 Data Lake In Action: Real-time, Closed Looped Analytics On Hadoop 2 Pivotal s Full Approach It s More Than Just Hadoop Pivotal Data Labs 3 Why Pivotal Exists First Movers Solve the Big Data Utility Gap

More information

Toronto 26 th SAP BI. Leap Forward with SAP

Toronto 26 th SAP BI. Leap Forward with SAP Toronto 26 th SAP BI Leap Forward with SAP Business Intelligence SAP BI 4.0 and SAP BW Operational BI with SAP ERP SAP HANA and BI Operational vs Decision making reporting Verify the evolution of the KPIs,

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

VIEWPOINT. High Performance Analytics. Industry Context and Trends

VIEWPOINT. High Performance Analytics. Industry Context and Trends VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations

More information

Microsoft Analytics Inspiration Day Mandag 9. November 2015

Microsoft Analytics Inspiration Day Mandag 9. November 2015 Microsoft Analytics Inspiration Day Mandag 9. November 2015 15.10-16.00: Modern Data Platform Trond Amundsen Solution Sales Professional Microsoft Dataplattform Sesjoner dere har vært igjennom tidligere

More information

Parallel Data Warehouse

Parallel Data Warehouse MICROSOFT S ANALYTICS SOLUTIONS WITH PARALLEL DATA WAREHOUSE Parallel Data Warehouse Stefan Cronjaeger Microsoft May 2013 AGENDA PDW overview Columnstore and Big Data Business Intellignece Project Ability

More information

Accelerate Business Advantage with Dynamic Warehousing

Accelerate Business Advantage with Dynamic Warehousing Accelerate Business Advantage with Dynamic Warehousing Mark McConnell Marketing Executive, Information Management IBM Asia Pacific 2007 IBM Corporation Is Information Technology delivering? Source: IBM

More information

2009 Oracle Corporation 1

2009 Oracle Corporation 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material,

More information

SAP HANA FAQ. A dozen answers to the top questions IT pros typically have about SAP HANA

SAP HANA FAQ. A dozen answers to the top questions IT pros typically have about SAP HANA ? SAP HANA FAQ A dozen answers to the top questions IT pros typically have about SAP HANA??? Overview If there s one thing that CEOs, CFOs, CMOs and CIOs agree on, it s the importance of collecting data.

More information

SAP Analytics Roadmap for Small and Midsize Companies. Kevin Chan, Director, Solutions Management @ SAP

SAP Analytics Roadmap for Small and Midsize Companies. Kevin Chan, Director, Solutions Management @ SAP SAP Analytics Roadmap for Small and Midsize Companies Kevin Chan, Director, Solutions Management @ SAP A WORLD OF ACCELERATING CHANGE An emerging middle class growing to 5B Data doubling every 18 months

More information

BIG DATA-AS-A-SERVICE

BIG DATA-AS-A-SERVICE White Paper BIG DATA-AS-A-SERVICE What Big Data is about What service providers can do with Big Data What EMC can do to help EMC Solutions Group Abstract This white paper looks at what service providers

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

Virtual Data Warehouse Appliances

Virtual Data Warehouse Appliances infrastructure (WX 2 and blade server Kognitio provides solutions to business problems that require acquisition, rationalization and analysis of large and/or complex data The Kognitio Technology and Data

More information

A HIGH-PERFORMANCE, SCALABLE BIG DATA APPLIANCE LAURA CHU-VIAL, SENIOR PRODUCT MARKETING MANAGER JOACHIM RAHMFELD, VP FIELD ALLIANCES OF SAP

A HIGH-PERFORMANCE, SCALABLE BIG DATA APPLIANCE LAURA CHU-VIAL, SENIOR PRODUCT MARKETING MANAGER JOACHIM RAHMFELD, VP FIELD ALLIANCES OF SAP A HIGH-PERFORMANCE, SCALABLE BIG DATA APPLIANCE LAURA CHU-VIAL, SENIOR PRODUCT MARKETING MANAGER JOACHIM RAHMFELD, VP FIELD ALLIANCES OF SAP WEBTECH EDUCATIONAL SERIES A HIGH-PERFORMANCE, SCALABLE BIG

More information

Universal PMML Plug-in for EMC Greenplum Database

Universal PMML Plug-in for EMC Greenplum Database Universal PMML Plug-in for EMC Greenplum Database Delivering Massively Parallel Predictions Zementis, Inc. info@zementis.com USA: 6125 Cornerstone Court East, Suite #250, San Diego, CA 92121 T +1(619)

More information

In-memory computing with SAP HANA

In-memory computing with SAP HANA In-memory computing with SAP HANA June 2015 Amit Satoor, SAP @asatoor 2015 SAP SE or an SAP affiliate company. All rights reserved. 1 Hyperconnectivity across people, business, and devices give rise to

More information

Greenplum Database: Critical Mass Innovation. Architecture White Paper August 2010

Greenplum Database: Critical Mass Innovation. Architecture White Paper August 2010 Greenplum Database: Critical Mass Innovation Architecture White Paper August 2010 Greenplum Database: Critical Mass Innovation Table of Contents Meeting the Challenges of a Data-Driven World 2 Race for

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

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve

More information

ADVANCED 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 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 information

In-Memory Analytics for Big Data

In-Memory Analytics for Big Data In-Memory Analytics for Big Data Game-changing technology for faster, better insights WHITE PAPER SAS White Paper Table of Contents Introduction: A New Breed of Analytics... 1 SAS In-Memory Overview...

More information

Hadoop 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 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 information

ENABLING OPERATIONAL BI

ENABLING OPERATIONAL BI ENABLING OPERATIONAL BI WITH SAP DATA Satisfy the need for speed with real-time data replication Author: Eric Kavanagh, The Bloor Group Co-Founder WHITE PAPER Table of Contents The Data Challenge to Make

More information

Ten Things You Need to Know About Data Virtualization

Ten Things You Need to Know About Data Virtualization White Paper Ten Things You Need to Know About Data Virtualization What is Data Virtualization? Data virtualization is an agile data integration method that simplifies information access. Data virtualization

More information

Green Migration from Oracle

Green Migration from Oracle Green Migration from Oracle Greenplum Migration Approach Strong Experiences on Oracle Migration Automate all tasks DDL Migration Data Migration PL-SQL and SQL Scripts Migration Data Quality Tests ETL and

More information

E M C P E R S P E C T I V E MANAGING HEALTHCARE DATA WITHIN THE ECOSYSTEM WHILE REDUCING IT COSTS AND COMPLEXITIES

E M C P E R S P E C T I V E MANAGING HEALTHCARE DATA WITHIN THE ECOSYSTEM WHILE REDUCING IT COSTS AND COMPLEXITIES E M C P E R S P E C T I V E MANAGING HEALTHCARE DATA WITHIN THE ECOSYSTEM WHILE REDUCING IT COSTS AND COMPLEXITIES With more than 3,000 attendees and hundreds of exhibitors, the annual HIMSS World Health

More information

How does Big Data disrupt the technology ecosystem of the public cloud?

How does Big Data disrupt the technology ecosystem of the public cloud? How does Big Data disrupt the technology ecosystem of the public cloud? Copyright 2012 IDC. Reproduction is forbidden unless authorized. All rights reserved. Agenda Market trends 2020 Vision Introduce

More information

III JORNADAS DE DATA MINING

III JORNADAS DE DATA MINING III JORNADAS DE DATA MINING EN EL MARCO DE LA MAESTRÍA EN DATA MINING DE LA UNIVERSIDAD AUSTRAL PRESENTACIÓN TECNOLÓGICA IBM Alan Schcolnik, Cognos Technical Sales Team Leader, IBM Software Group. IAE

More information

IBM Netezza 1000. High-performance business intelligence and advanced analytics for the enterprise. The analytics conundrum

IBM Netezza 1000. High-performance business intelligence and advanced analytics for the enterprise. The analytics conundrum IBM Netezza 1000 High-performance business intelligence and advanced analytics for the enterprise Our approach to data analysis is patented and proven. Minimize data movement, while processing it at physics

More information

Microsoft Analytics Platform System. Solution Brief

Microsoft Analytics Platform System. Solution Brief Microsoft Analytics Platform System Solution Brief Contents 4 Introduction 4 Microsoft Analytics Platform System 5 Enterprise-ready Big Data 7 Next-generation performance at scale 10 Engineered for optimal

More information

NextGen Infrastructure for Big DATA Analytics.

NextGen Infrastructure for Big DATA Analytics. NextGen Infrastructure for Big DATA Analytics. So What is Big Data? Data that exceeds the processing capacity of conven4onal database systems. The data is too big, moves too fast, or doesn t fit the structures

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

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence Introduction to Oracle Business Intelligence Standard Edition One Mike Donohue Senior Manager, Product Management Oracle Business Intelligence The following is intended to outline our general product direction.

More information

Bringing Big Data into the Enterprise

Bringing Big Data into the Enterprise Bringing Big Data into the Enterprise Overview When evaluating Big Data applications in enterprise computing, one often-asked question is how does Big Data compare to the Enterprise Data Warehouse (EDW)?

More information

HP Vertica OnDemand. Vertica OnDemand. Enterprise-class Big Data analytics in the cloud. Enterprise-class Big Data analytics for any size organization

HP Vertica OnDemand. Vertica OnDemand. Enterprise-class Big Data analytics in the cloud. Enterprise-class Big Data analytics for any size organization Data sheet HP Vertica OnDemand Enterprise-class Big Data analytics in the cloud Enterprise-class Big Data analytics for any size organization Vertica OnDemand Organizations today are experiencing a greater

More information

Offload Enterprise Data Warehouse (EDW) to Big Data Lake. Ample White Paper

Offload Enterprise Data Warehouse (EDW) to Big Data Lake. Ample White Paper Offload Enterprise Data Warehouse (EDW) to Big Data Lake Oracle Exadata, Teradata, Netezza and SQL Server Ample White Paper EDW (Enterprise Data Warehouse) Offloads The EDW (Enterprise Data Warehouse)

More information

EMC ADVERTISING ANALYTICS SERVICE FOR MEDIA & ENTERTAINMENT

EMC ADVERTISING ANALYTICS SERVICE FOR MEDIA & ENTERTAINMENT EMC ADVERTISING ANALYTICS SERVICE FOR MEDIA & ENTERTAINMENT Leveraging analytics for actionable insight ESSENTIALS Put your Big Data to work for you Pick the best-fit, priority business opportunity and

More information

Big Data Defined Introducing DataStack 3.0

Big Data Defined Introducing DataStack 3.0 Big Data Big Data Defined Introducing DataStack 3.0 Inside: Executive Summary... 1 Introduction... 2 Emergence of DataStack 3.0... 3 DataStack 1.0 to 2.0... 4 DataStack 2.0 Refined for Large Data & Analytics...

More information

High Performance Data Management Use of Standards in Commercial Product Development

High Performance Data Management Use of Standards in Commercial Product Development v2 High Performance Data Management Use of Standards in Commercial Product Development Jay Hollingsworth: Director Oil & Gas Business Unit Standards Leadership Council Forum 28 June 2012 1 The following

More information

How to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA

How to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA How to leverage SAP HANA for fast ROI and business advantage 5 STEPS to success with SAP HANA Unleashing the value of HANA 5 steps to success with SAP HANA How to leverage SAP HANA for fast ROI and business

More information

Netezza and Business Analytics Synergy

Netezza and Business Analytics Synergy Netezza Business Partner Update: November 17, 2011 Netezza and Business Analytics Synergy Shimon Nir, IBM Agenda Business Analytics / Netezza Synergy Overview Netezza overview Enabling the Business with

More information

Traditional BI vs. Business Data Lake A comparison

Traditional BI vs. Business Data Lake A comparison Traditional BI vs. Business Data Lake A comparison The need for new thinking around data storage and analysis Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses

More information

MDM 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 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 information

Hadoop and Relational Database The Best of Both Worlds for Analytics Greg Battas Hewlett Packard

Hadoop 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 information

Next Generation Data Warehousing Appliances 23.10.2014

Next Generation Data Warehousing Appliances 23.10.2014 Next Generation Data Warehousing Appliances 23.10.2014 Presentert av: Espen Jorde, Executive Advisor Bjørn Runar Nes, CTO/Chief Architect Bjørn Runar Nes Espen Jorde 2 3.12.2014 Agenda Affecto s new Data

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

VMware on VMware: Private Cloud Case Study Customer Presentation

VMware on VMware: Private Cloud Case Study Customer Presentation VMware on VMware: Private Cloud Case Study Customer Presentation 2009 VMware Inc. All rights reserved Agenda VMware IT landscape Motivations for the Cloud Private Cloud Stack Impact of moving to the Cloud

More information

OBIEE 11g Analytics Using EMC Greenplum Database

OBIEE 11g Analytics Using EMC Greenplum Database White Paper OBIEE 11g Analytics Using EMC Greenplum Database - An Integration guide for OBIEE 11g Windows Users Abstract This white paper explains how OBIEE Analytics Business Intelligence Tool can be

More information

SAP Business Suite powered by SAP HANA

SAP Business Suite powered by SAP HANA SAP Business Suite powered by SAP HANA CeBIT 2013, March 5 th Bernd Leukert, Corporate Officer and Executive Vice President Application Innovation, SAP AG Magnitude of Change: Omission of Restrictions

More information

SAP HANA In-Memory in Virtualized Data Centers. Arne Arnold, SAP HANA Product Management January 2013

SAP HANA In-Memory in Virtualized Data Centers. Arne Arnold, SAP HANA Product Management January 2013 SAP HANA In-Memory in Virtualized Data Centers Arne Arnold, SAP HANA Product Management January 2013 Agenda Virtualization In-Memory Pros & Cons with In-Memory Computing Virtualized SAP HANA Platform What

More information

Cisco Solutions for Big Data and Analytics

Cisco Solutions for Big Data and Analytics Cisco Solutions for Big Data and Analytics Tarek Elsherif, Solutions Executive November, 2015 Agenda Major Drivers & Challengs Data Virtualization & Analytics Platform Considerations for Big Data & Analytics

More information

Data Integration Alternatives & Best Practices

Data Integration Alternatives & Best Practices CAS 2006 March 13, 2006, 2:00 3:30 Data 2: Information Stored, Mined & Utilized/2 Data Integration Alternatives & Best Practices Patricia Saporito, CPCU Insurance Industry Practice Director Information

More information

Integrating Netezza into your existing IT landscape

Integrating Netezza into your existing IT landscape Marco Lehmann Technical Sales Professional Integrating Netezza into your existing IT landscape 2011 IBM Corporation Agenda How to integrate your existing data into Netezza appliance? 4 Steps for creating

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

Practical Considerations for Real-Time Business Intelligence. Donovan Schneider Yahoo! September 11, 2006

Practical Considerations for Real-Time Business Intelligence. Donovan Schneider Yahoo! September 11, 2006 Practical Considerations for Real-Time Business Intelligence Donovan Schneider Yahoo! September 11, 2006 Outline Business Intelligence (BI) Background Real-Time Business Intelligence Examples Two Requirements

More information

HDP Enabling the Modern Data Architecture

HDP 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 information