Information management
The importance of accelerating change for women in tech
This e-guide looks at the opinions many industry experts have on how to accelerate the number of women in the technology industry and why doing so is important.
News : Information management
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October 19, 2018
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Oct'18
Zeppelin uses Splunk for pre-emptive maintenance
German construction equipment rental firm Zeppelin has been using Splunk to predict when its machinery will need maintenance before it breaks down
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October 18, 2018
18
Oct'18
SAP Q3 2018: Cloud revenue up 39%
SAP’s Q3 2018 results show cloud revenue now at 22% of total and indicate momentum. S/4 Hana customers number 9,500
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October 18, 2018
18
Oct'18
Internet of things challenges in storage and data
The internet of things brings challenges, with a host of new edge devices and data. We look at edge and core processing, compliance and information lifecycle management in IoT
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October 18, 2018
18
Oct'18
How Heathrow transformed using analytics for the people
A Microsoft Azure platform and PowerBI have provided the people who work at Heathrow Airport with a way to use analytics directly to help them improve their performance
In Depth : Information management
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A new era of collaboration for the NHS
Great Ormond Street Hospital's new research and innovation unit, Drive, marks a significant shift towards greater collaboration between NHS organisations and third-party industry partners Continue Reading
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Digital transformation makes team players of suppliers – caveat emptor
C-level executives organising digital transformation programmes prefer their suppliers to work as a single team. But it is not all plain sailing Continue Reading
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What Oracle performance tuning tools can and can't do for DBAs
Two Oracle experts discuss the tuning and monitoring capabilities of database performance management tools -- and the ongoing role that DBAs have to play in the process. Continue Reading
Blog Posts : Information management
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How planning, data, and ‘digital string’ can combat the global food waste crisis
This is a guest blogpost by Colin Elkins, global industry director, process manufacturing, IFS. Global food waste, or food loss as it is classified by growers and manufacturers, is around 1.3 ... Continue Reading
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How a microservices-based architecture can reimagine enterprise software
This is a guest blog post by Savinay Berry, VP of Cloud Services at OpenText Microservices are an increasingly important way of delivering an alternative to traditionally large, complex and ... Continue Reading
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It’s time to tackle your dirty data
This is a guest blogpost by Francois Ajenstat, Chief Product Officer, Tableau Data analysis is only as good as the quality of your data. Anyone who has ever analysed data knows that the information ... Continue Reading
Opinion : Information management
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Big data processing techniques to streamline analytics
Analyzing raw data has become a complex task that companies are often underprepared for as data sets continue to grow. Here's how to create smarter data processing techniques. Continue Reading
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Why the government should rethink the UK’s surveillance laws
The European Court of Human Rights has made clear that the Snoopers’ Charter is an unlawful violation of people’s rights and freedoms Continue Reading
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How design thinking will affect today’s analysts
A user research manager at Tableau Software explains the import of an eye-tracking survey, focused on understanding how humans consume dashboards Continue Reading
Videos : Information management
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Data-driven innovation needed in businesses -- and dog shelters
Innovation driven by data analytics is important, not only to companies, but also to dogs waiting to be adopted in shelters. SAS best practices consultant Jill Dyché explains why.
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Enterprise data lake deepens big data management challenges
Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, says IT analyst Mike Ferguson.
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'Artisanal' Hadoop environment complicates big data system design
Gartner analyst Merv Adrian discusses why organizations often have trouble with deployments of Hadoop-based big data architectures, and how to avoid the challenges they pose.