Big data analytics
Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.. See complete definition.
7 big data projects that are delivering beyond the hype
Despite not looking as appealing as the gaudily dressed artificial intelligence and machine learning, big data is still delivering beyond the hype on many projects. We look at how Mercedes are using it on their quest for Formula 1 glory, how London councils are using data science to combat housing fraud and how the Met Office is handling its deluge of data.
News : Big data analytics
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August 15, 2018
15
Aug'18
Alibaba eyes retail sector with new cloud offerings
Chinese cloud supplier says retailers will be able to use its machine learning platform to understand consumer preferences, among a slew of services it is making available globally for the first time
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August 09, 2018
09
Aug'18
UK above average on strategic use of analytics
The UK has slightly more chief data officers than the global average, which helps drive strategic initiatives – but security is still seen as a major hurdle
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August 09, 2018
09
Aug'18
Rentokil robot Trevor kills off mundane processes
Pest control firm has deployed artificial intelligence robots to take out manual processes and progress its learning organisation approach
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August 09, 2018
09
Aug'18
Government sets out vision for better use of rail data
The government and the rail industry have developed a joint action plan to remove barriers to better data use by improving access to data, developing better standards, increasing skills and encouraging collaboration
In Depth : Big data analytics
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Servitisation: What it is and how it can transform companies
The idea that every product-based company needs to put service first is a radical shift in how businesses organise themselves. Is it more than rhetoric? Continue Reading
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An IT operating model for the digital age
Enterprises need to form cross-functional teams and give them the mandate to work together towards a single goal Continue Reading
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eHarmony hooks up with Redis NoSQL database for hot storage
The Redis key-value store finds use in a system to match would-be romantic partners on dating site eHarmony, which employs a variety of NoSQL databases to make love click online. Continue Reading
Blog Posts : Big data analytics
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Why Graph Needs an SQL
This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ... Continue Reading
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How automation can help create value, the 5th ‘v’ of data
This is a guest blogpost by Neil Barton, CTO, WhereScape For CDOs, defining the data and analytics strategy for their organization is increasingly the most important aspect of their job, with 86% ... Continue Reading
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Trainline shaking up rail travel beyond making trains run on time
Trainline's data scientists are applying the latest technologies to vast data sets to make train journey ticket prices easier to navigate Continue Reading
Opinion : Big data analytics
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Beyond GDPR: ePrivacy could have an even greater impact on mobile
From how we monitor air pollution and manage our public transport systems, to how we enable connected cars and the next generation of 5G mobile services, the forthcoming ePR could have a lasting impact on European society Continue Reading
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Digital transformation is just business change
Don't always start with the technology if you're driving transformation, but always start with the business Continue Reading
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Big data skills shortages – and how to work around them
Businesses are finding it hard to recruit enough people with big data and analytics skills, but for CIOs there are alternative strategies to consider Continue Reading
Videos : Big data analytics
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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.
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Computer Weekly @ 50: The next big things in tech – a developers’ perspective
Leading technology experts discuss the trends in enterprise software and how this will impact future applications