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Making Sense of Big Data: A Day in the Life of an Enterprise Architect
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by...
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To the Cloud and Beyond: Big Data in the Age of Machine Learning
Today's forward-thinking business leaders know that their organisation's ability to compete will soon depend on their successful use of machine learning. But even among these ML enthusiasts, the futuristic-sounding technology has proved difficult to understand. This report will give you a detailed status check on machine learning in enterprise organisations...
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Supply Chain Trends and Predictions
Watch this video to hear supply chain experts talk about how big data and analytics are evolving today's supply chain.
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Transitioning from PostgreSQL to an Analytical Database for Higher Performance and Massive Scale
In today’s data driven world, where effective decisions are based on a company’s ability to access information in seconds or minutes rather than hours or days, selecting the right analytical database platform is critical. If you’re struggling with analytics on PostgreSQL, read this whitepaper to learn about the criteria to...
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Cloud-based data warehouses: Unlock big data insights from anywhere - Report
"What would a datacentre without limits look like? Are we able to bring together data from disparate sources into one repository?" Discover the answers to these queries and how your enterprise can bring together on-premise data sources with advanced cloud-based technologies. Using familiar architectures and data flows, see how...
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Cloud-based data warehouses: Unlock big data insights from anywhere
"What would a datacentre without limits look like? Are we able to bring together data from disparate sources into one repository?" Discover the answers to these queries and how your enterprise can bring together on-premise data sources with advanced cloud-based technologies. Using familiar architectures and data flows, see how...
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Consume mainframe workloads with the agility of the cloud - IBM
For over five decades, the availability, performance, scale and security of the mainframe has made it the engine that powers much of world’s data. However, a gap may exist between your organization’s mainframe backbone and your transformation goals. The path you take to bridge this gap will make all the...
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Consume mainframe workloads with the agility of the cloud - IBM
For over five decades, the availability, performance, scale and security of the mainframe has made it the engine that powers much of world’s data. However, a gap may exist between your organization’s mainframe backbone and your transformation goals. The path you take to bridge this gap will make all the...
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Architect's Guide to Implementing a Digital Transformation
Where do you fall on the big data maturity curve? What does it take to implement a digital transformation? Looking for guidance on becoming a successful data-driven business based on real-world experience instead of opinion? In his new book, George Demarest presents the story of how...
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Machine Learning Logistics: Model Management in the Real World
Model Management in the Real World How do you get a machine learning system to deliver value from big data? Turns out that 90% of the effort required for success in machine learning is not the algorithm or the model or the learning - it's the...
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