Data Virtualization for Agile Business Intelligence Systems and Virtual MDM. To View This Presentation as a Video Click Here

Size: px
Start display at page:

Download "Data Virtualization for Agile Business Intelligence Systems and Virtual MDM. To View This Presentation as a Video Click Here"

Transcription

1 Data Virtualization for Agile Business Intelligence Systems and Virtual MDM To View This Presentation as a Video Click Here

2 Agenda Data Virtualization New Capabilities New Challenges in Data Integration & Management A New Vision Unified Virtual Data Layer Data Virtualization New Capabilities and Differentiation High Value Uses for Data Virtualization Data Virtualization and Agile DW / BI Systems Data Warehouse Extension Virtual DW and Data Marts Demo Data Virtualization and MDM 4 Steps to Pragmatic MDM Demo Resources to Learn More

3 Enterprise Data Challenges Getting Bigger Exponential Data Growth Data Silos CRM (MySQL) IT Complexity, Rigidity Inherent Latency Move to Cloud Inventory System (MS SQL Server) Product Catalog (Web Service -SOAP) Billing System (Web Service - Rest) Customer Voice (Internet, Unstruc) Unstruct. & Web High Costs Product Data (CSV) Big Data, Cloud (Hadoop, NOSQL,Web) Log files (.txt/.log files) Big Data, Cloud, Real-Time, Unstructured, Agile Trends Driving Need for a New Data Approach to Complement Existing Ones

4 What is Agile BI? New paradigm: fast, flexible, low-cost, results-oriented iterative BI development Self-service BI & data services tools Plan Processes Specifications Liaisons, business analysts Traditional BI Reacting to change Interactions Prototypes Face-to-face business participation Agile BI Metadata-generated BI & data services applications Rapid prototyping BI & data services development tools Social technologies for BI and data services developer/user collaboration Integrated BI and data services component management Virtualized, flexible, on-demand data services optimized for heterogeneous sources SOA, REST, and other abstraction layers Complex data models, schemas, and formats 4

5 Denodo Vision: Unified Virtual Data Layer Enables Agile BI and Agile Business Process Agile High Performance Universal Data Publishing Unified Data Governance Unified Virtual Data Layer Universal Data Access

6 What is Data Virtualization? Data Virtualization combines disparate data sources into a single virtual data layer that provides unified access and integrated data services to consuming applications in real-time (right-time) DERIVED VIEW Connect & Virtualize Combine & Integrate Publish as a Data Service BASE VIEW BASE VIEW BASE VIEW

7 Data Virtualization: Delivering New Capabilities Logical abstraction, unified data governance Agile methodologies Data Virtualization On-demand, real-time access to disparate data Data services provisioning (secure, reuse, many formats) Semantic integration of structured, Web, unstructured

8 Denodo Platform Architecture

9 Data Virtualization - Use Cases Agile Business Intelligence Real-time Reporting Performance Dashboards Customer 360 View - Call Center, Portals Customer Analytics Agile BPM/ Customer Focus Virtual Data Marts / EDW EDW Prototyping Competitive and Social BI Social Media, Feedback Operational Decision Data Data Services for BPM Web Data Extraction Web, Cloud, SaaS Integration Web Automation (2-way) Cloud /SaaS with no API Data Aggregation Regulatory & External Watch Agile Data Services (IaaS) Virtual Data Layer Virtual MDM Logical Data Abstraction for Migration / Modernization Mashups and Info Feeds Data Services

10 Agenda Data Virtualization New Capabilities New Challenges in Data Integration & Management A New Vision Unified Virtual Data Layer Data Virtualization New Capabilities and Differentiation High Value Uses for Data Virtualization Data Virtualization and Agile DW / BI Systems Data Warehouse Extension Virtual DW and Data Marts Demo Data Virtualization and MDM 4 Steps to Pragmatic MDM Demo Resources to Learn More

11 Data Virtualization: Unified Virtual Data Layer Complements Existing Integration Tools

12 Existing Data Warehousing & BI Systems BI /Analytics tools Needless data replication Many data sources not included Mart Mart ETL ETL Data Warehouse ETL ODS ETL Operational Systems Unstructured, Web, Cloud, etc

13 Data Warehouse extension through Virtualization Dashboards BI/ Analytics tools Portals Data Virtualization Minimize / replace redundant data marts with virtual views Integrate data from Web, unstructured, NoSQL sources DV Views DV Views DV Views Data Warehouse Data Services ODS Reusable logical and business data services shared by multiple applications Various BI & Reporting tools Dashboards Extended Data Warehouse Portals, Mobile apps ETL ETL Operational systems Unstructured data Web, Cloud etc

14 Virtual EDW Across Multiple Business Units Dashboards Virtual EDW BI/ Analytics tools Data Services Portals Create a Virtual Enterprise DW Faster time to market, less risk Optimized performance across traditional DW and newer analytic databases, BigData and Web sources DV Views DV Views DV Views Traditional DB and DW systems DW Div A ODS DW Div B ODS ETL ETL ETL ETL Operational systems Operational systems Big Data, NOSQL, Web, Unstructured etc

15 Agile Business: Operational BI Data Services for Dashboards, Performance Management

16 Agile BI and Data Warehouse Extension Daily Sales Reporting Financial Reports

17 Agile Reporting Key Benefits Biogen Idec Example - Overview Executive report Global Drug Sales (units) across all products Business Problem Manual process Data freshness and quality concerns Fragile and complex to change Business Benefits Automated Validated and trusted data Self service enabled for changes Available on-demand IT Challenges Diverse data sources Structured and semi-structured data Data structure complexity Constantly changing sources and data IT Benefits Implementation - 4 weeks Changes 2,4 days Low maintenance and support costs Biogen Idec executives now have access to new partner and public data sources that they could not leverage before : 60% faster with change requests met in just a few days with IT using 40% less analyst time to support.

18 Agenda Data Virtualization New Capabilities New Challenges in Data Integration & Management A New Vision Unified Virtual Data Layer Data Virtualization New Capabilities and Differentiation High Value Uses for Data Virtualization Data Virtualization and Agile DW / BI Systems Data Warehouse Extension Virtual DW and Data Marts Demo Data Virtualization and MDM 4 Steps to Pragmatic MDM Demo Resources to Learn More

19 Data Virtualization - Use for Pragmatic MDM Prototype your MDM using Virtual MDM DV is a perfect complement to Registry MDM Extend Federated MDM Enrich MDM with Unstructured, External and Web Data

20 1. Denodo Virtual MDM

21 2. Denodo Registry MDM

22 3. Denodo Federated MDM

23 4. Denodo Enriched MDM

24 MDM Data Normalization and Validation Data Normalization Combined_address is a field created in real time as a combination of Street, City, Zip, State and used as input for Google Geocoder Task Orchestration The Denodo Scheduler allows to automate tasks including dependencies, triggers and filters Data Cleansing Use of rules like the CASE operator with the formatted address allows to: Create a field that validates if the address is correct Add the correct value for zip in case is null Address Table Google Geocoder Validator returns the Formatted Address Valid records Invalid records Valid data is inserted into the Address table Invalid Records Report

25 MDM Creating a Golden Record Golden Record Utilization Custom Data from CRM and ERP is now obtained by using the Golden Record Golden Records Management Denodo keeps the records current Multiple Cleansing Functions Such as keep the longest name or lastname CRM ERP Built in Functions and Semantics Textual similarity matching operator between different sources CRM ERP

26 Single View of Investigator Pharma Use Case Investigator with Clinical Trial Experience and Equipment Used Investigator_ID Name Age Group Specialization Current Trial Status Validation Show All Equipment Used Intelligent Source Constraints Query Delegation Diverse Modeling Functions Real Time Data Normalization / Cleansing Trials NESTED JOIN Advanced Query Optimization Nested and Parallel execution Built in Functions and Semantics Textual similarity matching operator ClinicalTrials.gov EXTERNAL TRIALS Cloud/Web accessible as structured sources of info Address Specialty Investigator INVESTIGATOR PROFILE DATA INVESTIGATOR EXPERIENCE DATA XML Package_type LAB EQUIPMENT INFO Extended Relational Model Hierarchical views joinable with flat or relational views

27 Customer Smart Services Unified View: Combine Master + Transactions; Internal + External; Persisted + Real-time CNC ACCESS INTEGRATION REAL-TIME Transactions C3BL EDW Enterprise Federation Local Federation Match & Consolidate Data Deterministic matches Data Access Services Data Access APIs Others PERSISTENT STORAGE Enterprise Data Customer Master Item Master Batch Access Match & Consolidate Data Nondeterministic matches Based on name & other parameters Data Access Services Persistent Store Enrich & writeback Analytic Applications Reports and Dashboards Data Sources Data Services Data Consumers

28 Data Virtualization: Best Practice Insights Learn to leverage all data that has value Initial adoption for read-only use case read-write uses growing fast Primary drivers are unified access, business agility and quicker ROI Hybrid models prevail best-of-breed data virtualization integrates well Virtualization enables cloud integration with on-premise data Abstraction layer useful for application modernization and migration Performance and data governance set best-of-breed DV platforms apart Evolve from project use to agile enterprise data services capability. Increasing need for integrating semi and unstructured data

29 Agenda Data Virtualization New Capabilities New Challenges in Data Integration & Management A New Vision Unified Virtual Data Layer Data Virtualization New Capabilities and Differentiation High Value Uses for Data Virtualization Data Virtualization and Agile DW / BI Systems Data Warehouse Extension Virtual DW and Data Marts Demo Data Virtualization and MDM 4 Steps to Pragmatic MDM View Demo <insert video url> Resources to Learn More

30 World Series on Data Virtualization 12 expert talks with comprehensive coverage Select episodes: Data Virtualization, the time is now! - Dr. Barry Devlin, Analyst & Principal, 9Sight Consulting Agile Telecom Information Strategies - Manuel Doval Seijas, CIO, R Turning Data Into Information (Financial Services) - Oppenheimer Funds Data Virtualization for Agile Business Intelligence Systems - Rick van der Lans, Analyst, R20/Consultancy Value-Added Customer Technical Services Cisco Systems MDM Virtual MDM and Distributed Data Governance Global Pharma Company Data Virtualization for Unified data Services - Randy Heffner, VP & Principal Analyst, Forrester Research Click here to register

31 World Series on Data Virtualization World Premiere of White Papers: High Value Uses of Data Virtualization - Part 1 & Part 2 Analytical Uses Operational Uses Data Management Uses

32 Q&A Suresh Chandrasekaran Denodo Technologies

33

Data Virtualization. Paul Moxon Denodo Technologies. Alberta Data Architecture Community January 22 nd, 2014. 2014 Denodo Technologies

Data Virtualization. Paul Moxon Denodo Technologies. Alberta Data Architecture Community January 22 nd, 2014. 2014 Denodo Technologies Data Virtualization Paul Moxon Denodo Technologies Alberta Data Architecture Community January 22 nd, 2014 The Changing Speed of Business 100 25 35 45 55 65 75 85 95 Gartner The Nexus of Forces Today s

More information

Suresh Chandrasekaran, SVP North America and APAC Pablo Alvarez, Sales Engineer Denodo Technologies

Suresh Chandrasekaran, SVP North America and APAC Pablo Alvarez, Sales Engineer Denodo Technologies Suresh Chandrasekaran, SVP North America and APAC Pablo Alvarez, Sales Engineer Denodo Technologies March 9, 2011 Agenda Data Virtualization What Is It? 2011: The Tipping Point Business Needs and Analyst

More information

Data Virtualization and ETL. Denodo Technologies Architecture Brief

Data Virtualization and ETL. Denodo Technologies Architecture Brief Data Virtualization and ETL Denodo Technologies Architecture Brief Contents Data Virtualization and ETL... 3 Summary... 3 Data Virtualization... 7 What is Data Virtualization good for?... 8 Applications

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

Data Virtualization Usage Patterns for Business Intelligence/ Data Warehouse Architectures

Data Virtualization Usage Patterns for Business Intelligence/ Data Warehouse Architectures DATA VIRTUALIZATION Whitepaper Data Virtualization Usage Patterns for / Data Warehouse Architectures www.denodo.com Incidences Address Customer Name Inc_ID Specific_Field Time New Jersey Chevron Corporation

More information

What s New with Informatica Data Services & PowerCenter Data Virtualization Edition

What s New with Informatica Data Services & PowerCenter Data Virtualization Edition 1 What s New with Informatica Data Services & PowerCenter Data Virtualization Edition Kevin Brady, Integration Team Lead Bonneville Power Wei Zheng, Product Management Informatica Ash Parikh, Product Marketing

More information

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

JOURNAL OF OBJECT TECHNOLOGY

JOURNAL OF OBJECT TECHNOLOGY JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,

More information

Data Integration Checklist

Data 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 information

Data Virtualization A Potential Antidote for Big Data Growing Pains

Data Virtualization A Potential Antidote for Big Data Growing Pains perspective Data Virtualization A Potential Antidote for Big Data Growing Pains Atul Shrivastava Abstract Enterprises are already facing challenges around data consolidation, heterogeneity, quality, and

More information

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco Decoding the Big Data Deluge a Virtual Approach Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco High-volume, velocity and variety information assets that demand

More information

Service Oriented Data Management

Service Oriented Data Management Service Oriented Management Nabin Bilas Integration Architect Integration & SOA: Agenda Integration Overview 5 Reasons Why Is Critical to SOA Oracle Integration Solution Integration

More information

BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES

BIG 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 information

Dell Information Management solutions

Dell Information Management solutions Dell Information Management solutions Uday Tekumalla Solutions Marketing, Information Management 1 10/28/2013 Information Management Solutions My introduction Uday Tekumalla, the ponytail guy Information

More information

Building an Intelligent Biobank to Power Research Decision-Making

Building an Intelligent Biobank to Power Research Decision-Making Building an Intelligent Biobank to Power Research Decision-Making Lori Ball, Chief Operating Officer, President of Integrated Client Solutions, BioStorage Technologies, Inc. Brian J. Brunner, Senior Manager,

More information

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture

Deploy. Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Friction-free self-service BI solutions for everyone Scalable analytics on a modern architecture Apps and data source extensions with APIs Future white label, embed or integrate Power BI Deploy Intelligent

More information

End 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 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 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

Ganzheitliches Datenmanagement

Ganzheitliches 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 information

UNIFY YOUR (BIG) DATA

UNIFY 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 information

FUJITSU Software Interstage Business Operations Platform: A Foundation for Smart Process Applications

FUJITSU Software Interstage Business Operations Platform: A Foundation for Smart Process Applications FUJITSU Software Interstage Business Operations Platform: A Foundation for Smart Process Applications Keith Swenson VP R&D, Chief Architect Fujitsu America, Inc. May 30, 2013 We are a software company

More information

Cloud First Does Not Have to Mean Cloud Exclusively. Digital Government Institute s Cloud Computing & Data Center Conference, September 2014

Cloud First Does Not Have to Mean Cloud Exclusively. Digital Government Institute s Cloud Computing & Data Center Conference, September 2014 Cloud First Does Not Have to Mean Cloud Exclusively Digital Government Institute s Cloud Computing & Data Center Conference, September 2014 Am I part of a cloud first organization? Am I part of a cloud

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

M6A. TDWI Data Virtualization: Solving Complex Data Integration Challenges. Mark Peco

M6A. TDWI Data Virtualization: Solving Complex Data Integration Challenges. Mark Peco M6A European TDWI Conference with BARC@TDWI-Track June 22 24, 2015 MOC Munich / Germany TDWI Data Virtualization: Solving Complex Data Integration Challenges Mark Peco TDWI. All rights reserved. Reproductions

More information

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

More information

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015 Bringing Strategy to Life Using an Intelligent Platform to Become Ready Informatica Government Summit April 23, 2015 Informatica Solutions Overview Power the -Ready Enterprise Government Imperatives Improve

More information

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop Hadoop Data Hubs and BI Supporting the migration from siloed reporting and BI to centralized services with Hadoop John Allen October 2014 Introduction John Allen; computer scientist Background in data

More information

Exploring the Synergistic Relationships Between BPC, BW and HANA

Exploring the Synergistic Relationships Between BPC, BW and HANA September 9 11, 2013 Anaheim, California Exploring the Synergistic Relationships Between, BW and HANA Sheldon Edelstein SAP Database and Solution Management Learning Points SAP Business Planning and Consolidation

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

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

Cloud Ready Data: Speeding Your Journey to the Cloud

Cloud Ready Data: Speeding Your Journey to the Cloud Cloud Ready Data: Speeding Your Journey to the Cloud Hybrid Cloud first Born to the cloud 3 Am I part of a Cloud First organization? Am I part of a Cloud First agency? The cloud applications questions

More information

<Insert Picture Here> Extending Hyperion BI with the Oracle BI Server

<Insert Picture Here> Extending Hyperion BI with the Oracle BI Server Extending Hyperion BI with the Oracle BI Server Mark Ostroff Sr. BI Solutions Consultant Agenda Hyperion BI versus Hyperion BI with OBI Server Benefits of using Hyperion BI with the

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

Rapid Analytics. A visual, live approach to requirements gathering and business analytic development Mark Marinelli, VP of Product Management

Rapid Analytics. A visual, live approach to requirements gathering and business analytic development Mark Marinelli, VP of Product Management Rapid Analytics A visual, live approach to requirements gathering and business analytic development Mark Marinelli, VP of Product Management Brought to you by: Agenda Why Do Traditional Analytics Projects

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

Agile BI With SQL Server 2012

Agile BI With SQL Server 2012 Agile BI With SQL Server 2012 Agenda About GNet Group Level set on components of a BI solution The Microwave Society Evolution & Change Approaches to BI Classic Agile Blend of both approaches Agility with

More information

Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, And Competitive Advantage

Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, And Competitive Advantage A Forrester Consulting Thought Leadership Paper Commissioned By SAP Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, And Competitive Advantage June 2013 Table Of Contents

More information

Harnessing 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 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 information

DATA VIRTUALIZATION Whitepaper. Data Virtualization. and how to leverage a SOA implementation. www.denodo.com

DATA VIRTUALIZATION Whitepaper. Data Virtualization. and how to leverage a SOA implementation. www.denodo.com DATA VIRTUALIZATION Whitepaper Data Virtualization and how to leverage a SOA implementation www.denodo.com Incidences Address Customer Name Inc_ID Specific_Field Time New Jersey Chevron Corporation 3 3

More information

Oracle Data Integration: CON7926 Oracle Data Integration: A Crucial Ingredient for Cloud Integration

Oracle Data Integration: CON7926 Oracle Data Integration: A Crucial Ingredient for Cloud Integration Oracle Data Integration: CON7926 Oracle Data Integration: A Crucial Ingredient for Cloud Integration Julien Testut Principal Product Manager, Oracle Data Integration Sumit Sarkar Principal Systems Engineer,

More information

TECHNOLOGY TRANSFER PRESENTS OCTOBER 16 2012 OCTOBER 17 2012 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY)

TECHNOLOGY TRANSFER PRESENTS OCTOBER 16 2012 OCTOBER 17 2012 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) TECHNOLOGY TRANSFER PRESENTS RICK VAN DER LANS Data Virtualization for Agile Business Intelligence Systems New Database Technology for Data Warehousing OCTOBER 16 2012 OCTOBER 17 2012 RESIDENZA DI RIPETTA

More information

Introducing the Reimagined Power BI Platform. Jen Underwood, Microsoft

Introducing the Reimagined Power BI Platform. Jen Underwood, Microsoft Introducing the Reimagined Power BI Platform Jen Underwood, Microsoft Thank You Sponsors Empower users with new insights through familiar tools while balancing the need for IT to monitor and manage user

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

ENTERPRISE BI AND DATA DISCOVERY, FINALLY

ENTERPRISE BI AND DATA DISCOVERY, FINALLY Enterprise-caliber Cloud BI ENTERPRISE BI AND DATA DISCOVERY, FINALLY Southard Jones, Vice President, Product Strategy 1 AGENDA Market Trends Cloud BI Market Surveys Visualization, Data Discovery, & Self-Service

More information

Data as a Service Virtualization with Enzo Unified

Data as a Service Virtualization with Enzo Unified Data as a Service Virtualization with Enzo Unified White Paper by Blue Syntax Abstract: This white paper explains how companies can benefit from a Data as a Service virtualization layer and build a data

More information

Providing real-time, built-in analytics with S/4HANA. Jürgen Thielemans, SAP Enterprise Architect SAP Belgium&Luxembourg

Providing real-time, built-in analytics with S/4HANA. Jürgen Thielemans, SAP Enterprise Architect SAP Belgium&Luxembourg Providing real-time, built-in analytics with S/4HANA Jürgen Thielemans, SAP Enterprise Architect SAP Belgium&Luxembourg SAP HANA Analytics Vision Situation today: OLTP and OLAP separated, one-way streets

More information

Power BI as a Self-Service BI Platform:

Power BI as a Self-Service BI Platform: Power BI as a Self-Service BI Platform: Architecture, Use Cases, Strengths & Shortcomings SQL Saturday Atlanta 5/16/2015 Melissa Coates Solution Architect, BlueGranite Blog: sqlchick.com Twitter: @sqlchick

More information

Data Integration for the Real Time Enterprise

Data Integration for the Real Time Enterprise Executive Brief Data Integration for the Real Time Enterprise Business Agility in a Constantly Changing World Overcoming the Challenges of Global Uncertainty Informatica gives Zyme the ability to maintain

More information

FROM DATA STORE TO DATA SERVICES - DEVELOPING SCALABLE DATA ARCHITECTURE AT SURS. Summary

FROM DATA STORE TO DATA SERVICES - DEVELOPING SCALABLE DATA ARCHITECTURE AT SURS. Summary UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Working paper 27 February 2015 Workshop on the Modernisation of Statistical Production Meeting, 15-17 April 2015 Topic

More information

GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION

GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION Syed Rasheed Solution Manager Red Hat Corp. Kenny Peeples Technical Manager Red Hat Corp. Kimberly Palko Product Manager Red Hat Corp.

More information

Data Vault + Data Virtualization = Double Flexibility

Data Vault + Data Virtualization = Double Flexibility Vault + Virtualization = Double Flexibility Copyright 1991-2015 R20/Consultancy B.V., The Hague, The Netherlands. All rights reserved. No part of this material may be reproduced, stored in a retrieval

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

Informatica PowerCenter Data Virtualization Edition

Informatica PowerCenter Data Virtualization Edition Data Sheet Informatica PowerCenter Data Virtualization Edition Benefits Rapidly deliver new critical data and reports across applications and warehouses Access, merge, profile, transform, cleanse data

More information

Data virtualization: Delivering on-demand access to information throughout the enterprise

Data virtualization: Delivering on-demand access to information throughout the enterprise IBM Software Thought Leadership White Paper April 2013 Data virtualization: Delivering on-demand access to information throughout the enterprise 2 Data virtualization: Delivering on-demand access to information

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

Integrating SAP and non-sap data for comprehensive Business Intelligence

Integrating SAP and non-sap data for comprehensive Business Intelligence WHITE PAPER Integrating SAP and non-sap data for comprehensive Business Intelligence www.barc.de/en Business Application Research Center 2 Integrating SAP and non-sap data Authors Timm Grosser Senior Analyst

More information

The Impact of PaaS on Business Transformation

The Impact of PaaS on Business Transformation The Impact of PaaS on Business Transformation September 2014 Chris McCarthy Sr. Vice President Information Technology 1 Legacy Technology Silos Opportunities Business units Infrastructure Provisioning

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

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

Organisaties groot en klein, beginnen zich meer en meer te realiseren dat inzicht in (real-time) data helpt

Organisaties groot en klein, beginnen zich meer en meer te realiseren dat inzicht in (real-time) data helpt Data Virtualization, power to innovate with Agile data Drs. Patrick Berkhout, Enterprise en Software Architect, Trivento Organisaties groot en klein, beginnen zich meer en meer te realiseren dat inzicht

More information

Big Data Analytics Platform @ Nokia

Big 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 information

Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica

Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica Accelerate Data Loading for Big Data Analytics Attunity Click-2-Load for HP Vertica Menachem Brouk, Regional Director - EMEA Agenda» Attunity update» Solutions for : 1. Big Data Analytics 2. Live Reporting

More information

Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap

Aligning 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 information

Independent process platform

Independent process platform Independent process platform Megatrend in infrastructure software Dr. Wolfram Jost CTO February 22, 2012 2 Agenda Positioning BPE Strategy Cloud Strategy Data Management Strategy ETS goes Mobile Each layer

More information

HDP Hadoop From concept to deployment.

HDP 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 information

BIM the way we do it. Data Virtualization. How to get your Business Intelligence answers today

BIM the way we do it. Data Virtualization. How to get your Business Intelligence answers today BIM the way we do it Data Virtualization How to get your Business Intelligence answers today 2 BIM the way we do it The challenge: building data warehouses takes time, but analytics are needed urgently

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

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

Bangkok, Thailand 22 May 2008, Thursday

Bangkok, Thailand 22 May 2008, Thursday Bangkok, Thailand 22 May 2008, Thursday Proudly Sponsored By: BI for Customers Noam Berda May 2008 Agenda Next Generation Business Intelligence BI Platform Road Map BI Accelerator Q&A 2008 / 3 NetWeaver

More information

Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing

Master Your Data and Your Business Using Informatica MDM. Ravi Shankar Sr. Director, MDM Product Marketing Master Your and Your Business Using Informatica MDM Ravi Shankar Sr. Director, MDM Product Marketing 1 Driven Enterprise Timely Trusted Relevant 2 Agenda Critical Business Imperatives Addressed by MDM

More information

Data Warehouse Overview. Srini Rengarajan

Data Warehouse Overview. Srini Rengarajan Data Warehouse Overview Srini Rengarajan Please mute Your cell! Agenda Data Warehouse Architecture Approaches to build a Data Warehouse Top Down Approach Bottom Up Approach Best Practices Case Example

More information

MarkLogic Enterprise Data Layer

MarkLogic Enterprise Data Layer MarkLogic Enterprise Data Layer MarkLogic Enterprise Data Layer MarkLogic Enterprise Data Layer September 2011 September 2011 September 2011 Table of Contents Executive Summary... 3 An Enterprise Data

More information

<Insert Picture Here> Oracle Master Data Management Strategy

<Insert Picture Here> Oracle Master Data Management Strategy Oracle Master Data Management Strategy Name Title The following is intended to outline our general product direction. It is intended for information purposes only, and may not be

More information

So Many Tools, So Much Data, and So Much Meta Data

So Many Tools, So Much Data, and So Much Meta Data So Many Tools, So Much Data, and So Much Meta Data Copyright 1991-2012 R20/Consultancy B.V., The Hague, The Netherlands. All rights reserved. No part of this material may be reproduced, stored in a retrieval

More information

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise. Colin White Founder, BI Research TDWI Webcast October 2005

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise. Colin White Founder, BI Research TDWI Webcast October 2005 Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise Colin White Founder, BI Research TDWI Webcast October 2005 TDWI Data Integration Study Copyright BI Research 2005 2 Data

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

SAP Database Strategy Overview. Uwe Grigoleit September 2013

SAP Database Strategy Overview. Uwe Grigoleit September 2013 SAP base Strategy Overview Uwe Grigoleit September 2013 SAP s In-Memory and management Strategy Big- in Business-Context: Are you harnessing the opportunity? Mobile Transactions Things Things Instant Messages

More information

Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies

Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data, Cloud Computing, Spatial Databases Steven Hagan Vice President Server Technologies Big Data: Global Digital Data Growth Growing leaps and bounds by 40+% Year over Year! 2009 =.8 Zetabytes =.08

More information

IT FUSION CONFERENCE. Build a Better Foundation for Business

IT FUSION CONFERENCE. Build a Better Foundation for Business IT FUSION CONFERENCE Build a Better Foundation for Business The Oracle Business Intelligence Foundation: Technology for Pervasive Intelligence Kyungtae kim Today s BI Track Agenda

More information

By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1

By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1 Integration between SAP BusinessObjects and Netweaver By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1 Agenda Evolution of BO Business Intelligence suite Integration Integration after 4.0 release

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

Cisco IT Hadoop Journey

Cisco IT Hadoop Journey Cisco IT Hadoop Journey Srini Desikan, Program Manager IT 2015 MapR Technologies 1 Agenda Hadoop Platform Timeline Key Decisions / Lessons Learnt Data Lake Hadoop s place in IT Data Platforms Use Cases

More information

EII - ETL - EAI What, Why, and How!

EII - ETL - EAI What, Why, and How! IBM Software Group EII - ETL - EAI What, Why, and How! Tom Wu 巫 介 唐, wuct@tw.ibm.com Information Integrator Advocate Software Group IBM Taiwan 2005 IBM Corporation Agenda Data Integration Challenges and

More information

Informatica Best Practice Guide for Salesforce Wave Integration: Building a Global View of Top Customers

Informatica Best Practice Guide for Salesforce Wave Integration: Building a Global View of Top Customers Informatica Best Practice Guide for Salesforce Wave Integration: Building a Global View of Top Customers Company Background Many companies are investing in top customer programs to accelerate revenue and

More information

Mission-Driven Big Data

Mission-Driven Big Data Mission-Driven Big Data Tim Brooks Jamie Milne Principal Engagement Manager Copyright 2014 World Wide Technology, Inc. All rights reserved. Experience Across Big Data Deliverables PUBLIC SECTOR COMMERCIAL

More information

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management Multi-Domain Master Data Management Subhash Ramachandran VP, Product Management 8 June 2011 ProcessWorld 2011 2 DONT OPEN THE ENVELOPE! WAIT FOR THE SURPRISE CONTEST! 8 June 2011 ProcessWorld 2011 3 The

More information

Reduce and manage operating costs and improve efficiency. Support better business decisions based on availability of real-time information

Reduce and manage operating costs and improve efficiency. Support better business decisions based on availability of real-time information Data Management Solutions Horizon Software Solution s Data Management Solutions provide organisations with confidence in control of their data as they change systems and implement new solutions. Data is

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

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data

More information

SOA and Cloud in practice - An Example Case Study

SOA and Cloud in practice - An Example Case Study SOA and Cloud in practice - An Example Case Study 2 nd RECOCAPE Event "Emerging Software Technologies: Trends & Challenges Nov. 14 th 2012 ITIDA, Smart Village, Giza, Egypt Agenda What is SOA? What is

More information

HOW TO DO A SMART DATA PROJECT

HOW TO DO A SMART DATA PROJECT April 2014 Smart Data Strategies HOW TO DO A SMART DATA PROJECT Guideline www.altiliagroup.com Summary ALTILIA s approach to Smart Data PROJECTS 3 1. BUSINESS USE CASE DEFINITION 4 2. PROJECT PLANNING

More information

Automated Data Ingestion. Bernhard Disselhoff Enterprise Sales Engineer

Automated Data Ingestion. Bernhard Disselhoff Enterprise Sales Engineer Automated Data Ingestion Bernhard Disselhoff Enterprise Sales Engineer Agenda Pentaho Overview Templated dynamic ETL workflows Pentaho Data Integration (PDI) Use Cases Pentaho Overview Overview What we

More information

Gradient An EII Solution From Infosys

Gradient An EII Solution From Infosys Gradient An EII Solution From Infosys Keywords: Grid, Enterprise Integration, EII Introduction New arrays of business are emerging that require cross-functional data in near real-time. Examples of such

More information

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS PRODUCT FACTS & FEATURES KEY FEATURES Comprehensive, best-of-breed capabilities 100 percent thin client interface Intelligence across multiple

More information

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Streaming Analy.cs S S S Scale- up Database Data And Compute Grid

More information

Building a Data Warehouse

Building a Data Warehouse Building a Data Warehouse With Examples in SQL Server EiD Vincent Rainardi BROCHSCHULE LIECHTENSTEIN Bibliothek Apress Contents About the Author. ; xiij Preface xv ^CHAPTER 1 Introduction to Data Warehousing

More information

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS

ORACLE BUSINESS INTELLIGENCE SUITE ENTERPRISE EDITION PLUS Oracle Fusion editions of Oracle's Hyperion performance management products are currently available only on Microsoft Windows server platforms. The following is intended to outline our general product

More information

IBM Software Integrating and governing big data

IBM Software Integrating and governing big data IBM Software big data Does big data spell big trouble for integration? Not if you follow these best practices 1 2 3 4 5 Introduction Integration and governance requirements Best practices: Integrating

More information

Salesforce.com and MicroStrategy. A functional overview and recommendation for analysis and application development

Salesforce.com and MicroStrategy. A functional overview and recommendation for analysis and application development Salesforce.com and MicroStrategy A functional overview and recommendation for analysis and application development About the Speaker Prittam Bagani Director, Product Management Prittam started working

More information

Data Integration Hub

Data Integration Hub Data Integration Hub Data Integration Hub Provides a Better Way Actual Customer Point-to-Point Data Architecture Modern Data Integration Hub Masked Informatica Data Integration Hub Accelerate data projects

More information