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.
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 >>
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Data Warehouse Appliances
Mobile Business Intelligence