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TDWI What Works 33

What Works in Emerging Technologies

This valuable publication offers more than 30 pages of fresh, topically focused customer success stories and expert perspectives designed to enhance your understanding of the tools, technologies, and methods that are central to data integration and data warehousing today.

* Content in this publication is sponsored. Please see the privacy policy for more details.

These specially selected white papers align with the topics presented in What Works in Emerging Technologies. Browse the white papers below, then click here to access the full publication.

Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

What Works in Emerging Technologies

TDWI What Works in Emerging Technologies

This new edition of What Works in Emerging Technologies offers a fresh, topically focused collection of customer success stories and expert perspectives. We’re proud to offer this resource to enhance your understanding of the tools and methods that are central to today’s emerging technologies in data integration, data warehousing, and business intelligence (BI). We’ve arranged these case studies and lessons from the experts into specific categories to guide you through the articles: analytic databases, collaborative/agile/lean data integration, columnar databases, data governance, data warehousing appliances, mobile business intelligence, real-time data integration, software-as-a-service, and unified data integration platforms.

Click HERE to download the PDF version.

White Papers

These specially selected white papers align with the topics presented in What Works in Emerging Technologies. Browse the white papers below, then click here to access the full publication.

Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

What Works in Emerging Technologies

This new edition of What Works in Emerging Technologies offers a fresh, topically focused collection of customer success stories and expert perspectives. We’re proud to offer this resource to enhance your understanding of the tools and methods that are central to today’s emerging technologies in data integration, data warehousing, and business intelligence (BI). We’ve arranged these case studies and lessons from the experts into specific categories to guide you through the articles: analytic databases, collaborative/agile/lean data integration, columnar databases, data governance, data warehousing appliances, mobile business intelligence, real-time data integration, software-as-a-service, and unified data integration platforms.

Feature:

Five Emerging Trends in Business Intelligence and Analytics
Read More >>
David Stodder, Director, TDWI Research, Business Intelligence


To help you make your way through the many powerful case studies and “lessons from the experts” articles in What Works in Emerging Technologies, we have arranged them into specific categories, defined below. What do these terms mean, and how do they apply to your organization?


Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

More >>

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

More >>

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

More >>

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

More >>

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

More >>

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

More >>

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

More >>

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

More >>

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

More >>

* Content in this publication is sponsored. Please see the privacy policy for more details.

Analytic Databases

Alvion Technologies Speeds Query Times for Online Self-Service Business Model
Commentary by Bojan Belovic, Database Administrator, Alvion Technologies, Inc.

Alvion Technologies, Inc. needed to maintain optimal query response times for an online self-service business model while moving to the UNIX platform to support growth needs.
Read More >>

Expanding Business Intelligence Across the Enterprise
By Robert D. Schneider

Until fairly recently, a comparatively small number of users have been able to realize the full potential of business intelligence and data warehousing (BI/DW).
Read More >>

Collaborative/Agile/Lean DI

Fueling Innovation with Agile Integration
By Rick Kawamura, VP, Marketing, Kapow Software

Discussions of agile integration can too often become arguments about which agile method is best, or whether agile integration even exists. Multiple methods can claim agility, but let’s begin by considering the definition of agile.
Read More >>

Columnar Databases

Ongame Bets Safe on Columnar Database
Commentary by Mattias Andersson, Business Analyst, Ongame

Ongame Network is the world’s largest B2B poker network, with more than 20 million registered users.
Read More >>

It’s a Brave New World for Business Intelligence
By Don DeLoach, CEO, Infobright Inc.

It’s no secret that today’s IT professionals need to help their organizations capture, track, analyze, and share more information than ever before.
Read More >>

Data Governance

Leading Resort and Entertainment Company Uses Data Management Technology to Enable Corporate Data Governance
By Scott Batchelor, Director of Marketing Communications, DataFlux

A leader in the gaming and destination resort industry operates casino gaming and resort and entertainment facilities across the United States and South America.
Read More >>

Data Governance: Bridging the Gap Between Business and IT
By Daniel Teachey, Senior Director of Marketing, DataFlux

Businesses are discovering that their success is increasingly tied to the quality and reliability of their information.
Read More >>

Data Warehouse Appliances

Driving Business Value from Big Data
Interview with Jean-Pierre Dijcks, Senior Principal Product Manager, Oracle

Read More >>

Associated White Papers

Mobile Business Intelligence

Mobile BI System Helps Customers on the Move at AJ Logistics
Commentary by Greg Johnston, CIO, AJ Logistics

AJ Logistics provides third-party logistics services, including project management; order fulfillment; custom warehousing; and furniture, fixtures, and equipment (FF&E) installations.
Read More >>

The Truth about Mobile Business Intelligence
By Kevin Quinn, VP of Corporate Marketing, Information Builders

There are many misconceptions about mobile business intelligence (BI). Organizations mistakenly believe that it is expensive, hard to implement, complex, and lacking functionality.
Read More >>

Real-Time DI

SunGard Removes Batch Window Dependency for Its Enterprise Data Warehouse Using Real-Time Data Integration
Commentary by Susan Clark, Enterprise Data Warehouse Manager, SunGard Availability Services

As a pioneer in IT operations and information availability management, SunGard Availability Services delivers responsive, integrated, and reliable solutions, including disaster recovery services, managed IT and cloud services, information availability consulting services, and business continuity management software.
Read More >>

Freedom from Batch Windows Using Real-Time Data Integration
By Irem Radzik, Director of Product Marketing, Data Integration, Oracle

We expect freedom when we invest in technology solutions. Freedom means having the power, choice, and flexibility to improve the way we do business—raising the efficiency of IT and delivering results to the business faster.
Read More >>

Software-as-a-Service

Citrix Improves Customer Satisfaction and Profitability with Dynamic Supply Chain Insight
Commentary by Fred Tiso, Group Director of Hardware Operations, Citrix Systems

Citrix Systems is a leading provider of virtualization, networking, and cloud computing solutions for more than 230,000 organizations worldwide.
Read More >>

Unified DI Platforms

Onboard Informatics Gives Customers Consolidated Real Estate Data
Commentary by Joseph Rugolo, Director, Data Operations, Onboard Informatics

Since 2001, Onboard Informatics has provided comprehensive local, regional, and national real estate data solutions, powerful Web tools, and Web services to some of the most innovative companies in real estate, publishing, and technology.
Read More >>

The Butterfly Effect on Data Quality
By Jim Walker, Director of Product Marketing, Talend

The term butterfly effect refers to the way a minor event, such as the movement of a butterfly’s wings, can have a major impact on a complex system, such as weather.
Read More >>

TDWI Research Excerpts

Data Visualization Technology
Read Story >>
By Wayne Eckerson and Mark Hammond

Introduction to Self-Service Business Intelligence
Read Story >>
Claudia Imhoff and Colin White



Connect with our sponsors

  • Download Publication
  • Download White Papers
  • Download Publication
TDWI What Works 33

What Works in Emerging Technologies

This valuable publication offers more than 30 pages of fresh, topically focused customer success stories and expert perspectives designed to enhance your understanding of the tools, technologies, and methods that are central to data integration and data warehousing today.

* Content in this publication is sponsored. Please see the privacy policy for more details.

These specially selected white papers align with the topics presented in What Works in Emerging Technologies. Browse the white papers below, then click here to access the full publication.

Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

What Works in Emerging Technologies

TDWI What Works in Emerging Technologies

This new edition of What Works in Emerging Technologies offers a fresh, topically focused collection of customer success stories and expert perspectives. We’re proud to offer this resource to enhance your understanding of the tools and methods that are central to today’s emerging technologies in data integration, data warehousing, and business intelligence (BI). We’ve arranged these case studies and lessons from the experts into specific categories to guide you through the articles: analytic databases, collaborative/agile/lean data integration, columnar databases, data governance, data warehousing appliances, mobile business intelligence, real-time data integration, software-as-a-service, and unified data integration platforms.

Click HERE to download the PDF version.

White Papers

These specially selected white papers align with the topics presented in What Works in Emerging Technologies. Browse the white papers below, then click here to access the full publication.

Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

What Works in Emerging Technologies

This new edition of What Works in Emerging Technologies offers a fresh, topically focused collection of customer success stories and expert perspectives. We’re proud to offer this resource to enhance your understanding of the tools and methods that are central to today’s emerging technologies in data integration, data warehousing, and business intelligence (BI). We’ve arranged these case studies and lessons from the experts into specific categories to guide you through the articles: analytic databases, collaborative/agile/lean data integration, columnar databases, data governance, data warehousing appliances, mobile business intelligence, real-time data integration, software-as-a-service, and unified data integration platforms.

Feature:

Five Emerging Trends in Business Intelligence and Analytics
Read More >>
David Stodder, Director, TDWI Research, Business Intelligence


To help you make your way through the many powerful case studies and “lessons from the experts” articles in What Works in Emerging Technologies, we have arranged them into specific categories, defined below. What do these terms mean, and how do they apply to your organization?


Analytic Databases

Analytic databases are distinct from OLTP or mixed workload systems because they are designed from the ground up specifically to meet requirements for analytics.Analytic databases include columnar databases and OLAP (including MOLAP) systems. Most analytic databases are read-only and are updated by operational and transaction systems.

More >>

Collaborative/Agile/Lean DI

Collaborative/Agile/Lead DI are techniques that improve the effectiveness of data integration projects and collaboration between business and IT data integration teams.

More >>

Columnar Databases

Columnar databases excel at reducing the time it takes to find data by storing, accessing, and retrieving data by column rather than by row. Many columnar databases use advanced compression techniques, indexing, and in-memory architecture to further improve access performance.

More >>

Data Governance

Data governance is an organizational structure that oversees the broad use and usability of data as an enterprise asset. Common goals of data governance are to improve data’s quality; remediate its inconsistencies; share it broadly; leverage its aggregate for competitive advantage; manage change relative to data usage; and comply with internal and external regulations and standards for data usage.

More >>

Data Warehouse Appliances

A data warehouse appliance offers a special-purpose, pre-installed, plug-and-play system that integrates servers, storage, operating systems, database management, and other software necessary for supporting data warehousing workloads.

More >>

Mobile BI

Mobile business intelligence is about performing data reporting, visualization, analysis, access, and sharing via a smartphone or tablet computer. Users will implement mobile BI in a combination of ways: natively on devices, remotely over networks, or via applications available in the cloud.

More >>

Real-Time DI

Real-time data integration addresses business needs for data to support operational decision making and notification of business events as they occur. Technologies for changed data capture, messaging system integration, ELT, SOA data services, and dynamic partitioning for concurrent data processing are among those frequently deployed for real-time data integration.

More >>

Software-as-a-Service

Software-as-a-service is a new way of delivering applications when a third party hosts your applications or infrastructure on a platform outside your firewall. The service provider hosts all customers on the same application and platform, achieving economies of scale and simplifying administration and upgrades.

More >>

Unified DI Platforms

Unified data integration platforms bring together technologies to address the range of data integration needs in a unified fashion. In this way, organizations can reduce the cost of data integration, ensure that the most important requirement are being met with the appropriate resources, and execute policies for governance, risk, and compliance.

More >>

* Content in this publication is sponsored. Please see the privacy policy for more details.

Analytic Databases

Alvion Technologies Speeds Query Times for Online Self-Service Business Model
Commentary by Bojan Belovic, Database Administrator, Alvion Technologies, Inc.

Alvion Technologies, Inc. needed to maintain optimal query response times for an online self-service business model while moving to the UNIX platform to support growth needs.
Read More >>

Expanding Business Intelligence Across the Enterprise
By Robert D. Schneider

Until fairly recently, a comparatively small number of users have been able to realize the full potential of business intelligence and data warehousing (BI/DW).
Read More >>

Collaborative/Agile/Lean DI

Fueling Innovation with Agile Integration
By Rick Kawamura, VP, Marketing, Kapow Software

Discussions of agile integration can too often become arguments about which agile method is best, or whether agile integration even exists. Multiple methods can claim agility, but let’s begin by considering the definition of agile.
Read More >>

Columnar Databases

Ongame Bets Safe on Columnar Database
Commentary by Mattias Andersson, Business Analyst, Ongame

Ongame Network is the world’s largest B2B poker network, with more than 20 million registered users.
Read More >>

It’s a Brave New World for Business Intelligence
By Don DeLoach, CEO, Infobright Inc.

It’s no secret that today’s IT professionals need to help their organizations capture, track, analyze, and share more information than ever before.
Read More >>

Data Governance

Leading Resort and Entertainment Company Uses Data Management Technology to Enable Corporate Data Governance
By Scott Batchelor, Director of Marketing Communications, DataFlux

A leader in the gaming and destination resort industry operates casino gaming and resort and entertainment facilities across the United States and South America.
Read More >>

Data Governance: Bridging the Gap Between Business and IT
By Daniel Teachey, Senior Director of Marketing, DataFlux

Businesses are discovering that their success is increasingly tied to the quality and reliability of their information.
Read More >>

Data Warehouse Appliances

Driving Business Value from Big Data
Interview with Jean-Pierre Dijcks, Senior Principal Product Manager, Oracle

Read More >>

Associated White Papers

Mobile Business Intelligence

Mobile BI System Helps Customers on the Move at AJ Logistics
Commentary by Greg Johnston, CIO, AJ Logistics

AJ Logistics provides third-party logistics services, including project management; order fulfillment; custom warehousing; and furniture, fixtures, and equipment (FF&E) installations.
Read More >>

The Truth about Mobile Business Intelligence
By Kevin Quinn, VP of Corporate Marketing, Information Builders

There are many misconceptions about mobile business intelligence (BI). Organizations mistakenly believe that it is expensive, hard to implement, complex, and lacking functionality.
Read More >>

Real-Time DI

SunGard Removes Batch Window Dependency for Its Enterprise Data Warehouse Using Real-Time Data Integration
Commentary by Susan Clark, Enterprise Data Warehouse Manager, SunGard Availability Services

As a pioneer in IT operations and information availability management, SunGard Availability Services delivers responsive, integrated, and reliable solutions, including disaster recovery services, managed IT and cloud services, information availability consulting services, and business continuity management software.
Read More >>

Freedom from Batch Windows Using Real-Time Data Integration
By Irem Radzik, Director of Product Marketing, Data Integration, Oracle

We expect freedom when we invest in technology solutions. Freedom means having the power, choice, and flexibility to improve the way we do business—raising the efficiency of IT and delivering results to the business faster.
Read More >>

Software-as-a-Service

Citrix Improves Customer Satisfaction and Profitability with Dynamic Supply Chain Insight
Commentary by Fred Tiso, Group Director of Hardware Operations, Citrix Systems

Citrix Systems is a leading provider of virtualization, networking, and cloud computing solutions for more than 230,000 organizations worldwide.
Read More >>

Unified DI Platforms

Onboard Informatics Gives Customers Consolidated Real Estate Data
Commentary by Joseph Rugolo, Director, Data Operations, Onboard Informatics

Since 2001, Onboard Informatics has provided comprehensive local, regional, and national real estate data solutions, powerful Web tools, and Web services to some of the most innovative companies in real estate, publishing, and technology.
Read More >>

The Butterfly Effect on Data Quality
By Jim Walker, Director of Product Marketing, Talend

The term butterfly effect refers to the way a minor event, such as the movement of a butterfly’s wings, can have a major impact on a complex system, such as weather.
Read More >>

TDWI Research Excerpts

Data Visualization Technology
Read Story >>
By Wayne Eckerson and Mark Hammond

Introduction to Self-Service Business Intelligence
Read Story >>
Claudia Imhoff and Colin White



Connect with our sponsors

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