Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.
Getting to grips with DataOps
Hear from key decision-makers from Altran, Moogsoft, Puppet, Morpheus, Talend, NetApp and PagerDuty about how and why they are adopting DataOps.
News : Big data analytics
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October 16, 2019
16
Oct'19
Zopa continues in its mission to apply a Netflix user experience to banking
Zopa has made a credit scoring tool available as it continues to expand the portfolio of products it offers beyond loans.
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October 11, 2019
11
Oct'19
SAP CEO Bill McDermott steps down
McDermott will be replaced by SAP board members Jennifer Morgan and Christian Klein
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October 10, 2019
10
Oct'19
Kroger drives data-driven customer experience
Scott Crawford, data science lead at 84.51°, the data business at US grocery retailer Kroger, discusses data projects and iterative programmes
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October 08, 2019
08
Oct'19
CIO interview: Matt Harris, head of IT, Mercedes-AMG Petronas Motorsport
The IT chief at the world-leading Formula 1 team is focused on using technology to support and deliver marginal gains in performance for the team’s drivers
In Depth : Big data analytics
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Scale-out NAS hits the spot for large datasets, AI and machine learning
Despite the rise of cloud and object storage, scale-out NAS is a key choice for the big datasets increasingly prevalent in artificial intelligence and machine learning scenarios Continue Reading
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How to unlock the true value of data
With a robust data architecture in place, a firm’s data science team can turn raw data into business insight Continue Reading
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How to deploy NVMe flash storage for artificial intelligence
We run the rule over NVMe flash as a storage choice for AI applications and the key decision points in form factor and hardware specification Continue Reading
Blog Posts : Big data analytics
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Why businesses should be concerned by the notion of ‘data lock-in’
This is a guest blogpost by James Fisher, SVP of data firm Qlik A little over a year ago we, at Qlik, started to outline our vision for the “third generation” of BI and analytics, which we ... Continue Reading
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Business, data and analytics strategies – connecting the dots or just collecting?
This is a guest blogpost by Michael Corcoran, senior vice president at Information Builders (www.informationbuilders.com). Speaking at our Information Builders' Summit, IDC Group vice president, ... Continue Reading
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The Enterprise Data Fabric: an information architecture for our times
This is a guest blogpost by Sean Martin, CTO and co-founder, Cambridge Semantics The post-big data landscape has been shaped by two emergent, intrinsically related forces: the predominance of ... Continue Reading
Opinion : Big data analytics
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Security Think Tank: Focus on metrics to manage risk
How can security professionals help their organisations move from traditional governance, risk and compliance to integrated risk management that integrates risk activities from across an organisation to enable better strategic decision making? Continue Reading
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If data really is the new oil, the raw materials need a different economic approach
The International Monetary Fund is the latest to say that data is the new oil – the change agent in the economy – but striking it rich is a complicated matter Continue Reading
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Regulators globally are shaping up to rein in Facebook
We need to move fast and fix Facebook, before it breaks us 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