Technology -> Data Management
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16. Next Generation Datacentre Cycle II - Cloud Findings
For those who thought that cloud computing was now reaching mainstream usage, this new global research across large organisation may serve to reset views.
Published By: Quocirca
17. Optimising Linux on System z as part of a hybrid IT architecture
In a world where business demands on IT are growing rapdly but IT budgets ae often stable or shrinking, organisations need to implement IT strategies that reduce costs and increase overall value to the business.
Published By: Quocirca
18. Tiers for Fears
For many organisations 'IT' is split between two groups. The data centre facility is provided and managed by facilities management, while the IT equipment within the facility is provisioned and managed by the IT department.
Published By: Quocirca
19. Usage-based billing as a database platform service
Billing is an essential part of the services model and if you can re-purpose database licensing logic to enable billing services and usage analytics - using database accesses, mapped into business activities, as a metric for usage...
Published By: Bloor Research
20. The economics of cloud managed integration
In this paper we will consider what is required to enable cloud-managed integration from a technical perspective. Much of the base functionality needed will be similar to that required of any data integration environment but we will not dwell on...
Published By: Bloor Research
21. Data profiling: the business case
This paper discusses the benefits of automating the discovery of data quality issues through the use of data profiling technology. While a certain amount of technical discussion will be necessary, the emphasis is on benefits to the...
Published By: Bloor Research
22. The business case for Data Quality
It should be clear from the preceding discussions that there is much to be said in favour of a platform-based approach to data quality. While we do not denigrate the advantages of a best-of-breed approach there are certain requirements that are not…
Published By: Bloor Research
23. Big Data Analytics with Hadoop and Sybase IQ
Big data is all the rage. While we will address the question of what big data is, the real question is how it differs from the traditional world of analytics and data warehousing that we were familiar with just a couple of years ago. Historically,...
Published By: Bloor Research
24. Next Generation Datacentre Cycle II -
This re-run of the next generation datacentre research covered 10 regions to identify what progress organisations have made in preparing to adapt to new IT architectures and approaches to computing. The first cycle was held in February 2011.
Published By: Quocirca
25. Tools for Data Governance
The further down this stack you go the more tools there are available and the more relevant those tools are. However, the use of tools can certainly be valuable in the formulation of policies (at least sometimes) and, more especially, tools are a...
Published By: Bloor Research
26. expressor 3.5 to 4.0
When expressor first came to market in 2008 it was targeting very high performance for complex transformations. However, it subsequently changed its go-to-market model to the structure seen today. In our view this was a sensible change. We are...
Published By: Bloor Research
27. Data Migration - 2011
This paper draws from both our latest research and a comparison with the results of our 2007 survey. The results are instructive: we have been able to see whether the recommendations we made in 2007 have been adopted and how successful they were, as.
Published By: Bloor Research
28. The data sharing paradox
This Quocirca small business report looks at the degree to which small businesses are sharing data today, the ways in which they are doing so and the real and perceived risks. It goes on to look at how these risks can be mitigated.
Published By: Quocirca
29. Informatica Data Replication for real-time (big) data warehousing
Data replication has been around for a long time: since the early '90s. The earliest implementations were by investment banks (Goldman Sachs, for example) that wanted to distribute pricing information across time zones so that the Japanese stock...
Published By: Bloor Research
30. Innovator for Business Analysts
With Innovator for Business Analysts, MID offers a modern, forwards looking tool for the business analyst role-oriented towards business stakeholders (rather than mainly targeting IT).
It helps the business analysts in a business to manage...
Published By: Bloor Research
Published by: IT Analysis Communications Ltd.
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