Big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.. See complete definition.
Step 1. Advanced analytics. Step 2. Machine learning. Step 3. Profit.
Join us as we delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.
News : Big data analytics
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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 16, 2018
16
Oct'18
Public Health England builds Ceph and Lustre cloud for analytics
Healthcare analytics and modelling organisation Public Health England built an open source cloud from Red Hat Ceph object storage and Lustre scale-out file access storage to petabyte scale
In Depth : Big data analytics
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GlaxoSmithKline R&D CDO on combining Hadoop and Docker to boost drug discovery efforts
Mark Ramsey, chief digital officer of research and development at GSK, describes how banking on big data, containers and on-premise technologies is speeding up the company’s efforts to uncover new drugs and improve the hit rate of its clinical trials Continue Reading
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Cloud buoys data microservices -- for on-premises systems, too
Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
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Trust and openness vital to get benefits from supply chain automation
Supply chain automation is benefiting from new technological developments, such as blockchain, 5G and machine learning – as companies such as Maersk, Opel and Nestlé are proving Continue Reading
Blog Posts : Big data analytics
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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 : Big data analytics
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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 : 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