You searched for

Clear
Clear

Reset

Clear

26,491 Results found   |   Page 1 of 1,325

Gartner client? Log in for personalized search results.

Research Feb 2022
... The logical data warehouse is an accepted best practice architecture, and the data fabric is the forward-looking data management framework. This research discusses what data and analytics leaders can do to prepare for this journey, investing in functionality that will be useful now and as this journey ...

Analyst(s):   Ehtisham Zaidi   |   Mark Beyer   |   Philip Russom   |   Henry Cook
Research Jan 2022
... The Logical Data Warehouse is accepted as a best practice. This research provides a summary and presentation-ready content to be read and customized by data and analytics leaders when planning and presenting their strategy. Gartner Research ...

Analyst(s):   Henry Cook
Research Jun 2021
... The logical data warehouse is the established best practice for the design of analytical systems. This infographic provides a quick guide for data and analytics leaders, showing typical paths for the introduction of a logical data warehouse and its subsequent development. About This Research Recommended ...

Analyst(s):   Henry Cook   |   Adam Ronthal
Research Feb 2021
... Gartner Research The logical data warehouse is now well established as a best practice for which there are many potential starting points and ways to expand. This research helps data and analytics leaders and their lead architects to ensure that their LDW projects are set up to succeed. Overview Introduction ...

Analyst(s):   Henry Cook
Research Apr 2021
... The logical data warehouse is now well established as a best practice for which there are many potential starting points and ways to expand. This research helps data and analytics leaders and their lead architects to ensure that their LDW projects are set up to succeed. Gartner Research ...

Analyst(s):   Henry Cook
Research Dec 2020
... Gartner Research The logical data warehouse — a data consolidation and virtualization architecture of multiple analytic systems — is used by both user organizations and vendors. This research provides practical advice for data and analytics leaders planning data management solutions for analytics. ...

Analyst(s):   Adam Ronthal   |   Rick Greenwald   |   Henry Cook
Blog Post January 18 2018
... These data items should be readily to hand in our DW. Integrated Collaborating Engines Not Competing Solutions The modern logical data warehouse is an integration of multiple analytic engines. However, rather than seeing the LDW components: the physical enterprise data warehouse, the data lake, data ...

Analyst(s):   Henry Cook
... selection dbPaaS and cloud practices and technology Logical data warehouse Data management solutions for analytics Cloud Computing (retired)|Data and Analytics Leaders|Data Management Solutions|Data and Analytics Programs and Practices B.A., Ethics, Politics and Economics, Yale University IBM|Senior Technical ...
Research Dec 2021
... Transitioning to a modern data management design, like a data fabric, can be overwhelming. This video helps technical professionals focus on the key foundational components of a data fabric, which are inherently associated with a logical data warehouse, an established data management design. Overview ...

Analyst(s):   Mayank Talwar
Research Feb 2022
... Transitioning to a modern data management design like a data fabric can be overwhelming. This document helps data and analytics technical professionals understand the key foundational components of a data fabric, which can evolve from a logical data warehouse, an established data management design. Overview ...

Analyst(s):   Mayank Talwar
Research Jan 2021
... Gartner Research The logical data warehouse — a data consolidation and virtualization architecture of multiple analytic systems — is used by both user organizations and vendors. This research provides practical advice for data and analytics leaders planning data management solutions for analytics. ...

Analyst(s):   Henry Cook
Blog Post February 09 2018
... reminded me of a concept that comes up repeatedly in my calls and is worth passing on as it can be a big help. The concept is: Designing a Logical Data Warehouse (LDW) design, is like Town Planning, not like designing a building. When looked at from this perspective the design of an LDW is much more ...

Analyst(s):   Henry Cook
Blog Post May 23 2017
... recently had the opportunity to write about the Logical Data Warehouse(LDW). In the paper I describe three parallel streams rather than a single development path. The development is cyclic. Like the classic data warehouse before it, the logical data warehouse is never finished. That is because it provides ...

Analyst(s):   Henry Cook
Research Jun 2012
... Gartner Research The logical data warehouse is a clear demarcation between centralized repository approaches and managed data services for analytics. Gartner presents the major components of the LDW. Analysis Business Drivers Defining the Logical Data Warehouse Repository or No Repository, That is the ...

Analyst(s):   Roxane Edjlali   |   Mark Beyer
Research May 2013
... Gartner Research The logical data warehouse (the next-generation data warehouse) improves agility, enables innovation and responds more efficiently to changing business requirements. This Decision Point presents a systematic and practical way to choose an LDW implementation style for a given use case ...

Analyst(s):   Mei Selvage
Research Feb 2013
... Leading Data Warehouse Implementers Show a 30% Adoption Rate for Big Data Data Integration for Data Warehouses Being Adapted for Big Data The telecom, media and business/consumer services verticals are most likely to adapt their existing data integration infrastructure across all types of big data, so their ...

Analyst(s):   Mark Beyer   |   Ted Friedman
Research Aug 2014
... analytics has accelerated the need for expertise among data warehouse practitioners in deploying a logical data warehouse Gartner Recommended Reading ...

Analyst(s):   Mark Beyer
Research Jul 2020
... Gartner Research Data and analytics leaders must ensure that their data science and data warehousing teams work together. These two disciplines are notably different, but there is some overlap and they are highly complementary when used together. The AI and LDW systems must be designed to work together ...

Analyst(s):   Henry Cook
Blog Post March 22 2021
... The Practical Logical Data Warehouse that was published in December 2020. "The logical data warehouse — a data consolidation and virtualization architecture of multiple analytic systems — is used by both user organizations and vendors. This research provides practical advice for data and analytics leaders ...

Analyst(s):   Andrew White
Blog Post November 03 2011
... information is becoming a market changing force. The logical warehouse leveraged all of Gartner’s information management themes and brought them together in, well, a “logical information delivery platform”—hence, the logical data warehouse. The logical data warehouse inherits the genetics of best practices for ...

Analyst(s):   Merv Adrian
of 1325
Data Warehouse

... needs. The five components of a data warehouse are: Production data sources Data extraction and conversion Data warehouse database management system Data warehouse administration Business intelligence (BI) tools A data warehouse contains data arranged into abstracted subject areas with time-variant ... Gartner Glossary