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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

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How SOCAR handles large IoT data with Amazon MSK and Amazon ElastiCache for Redis

AWS Big Data

With this capability, businesses can stay ahead of the curve and develop new initiatives that drive success. This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core.

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8 network trends shaping India’s digital landscape

CIO Business Intelligence

Intent-driven networking You should align your applications closely with your business objectives to ensure they deliver what you need. Edge computing, which brings computing closer to the user – be it a computer, a human or an IoT device – is a key solution in this context.

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Migrate and modernize IBM Maximo with AWS and Red Hat

IBM Big Data Hub

It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs.

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The 4 keys to a successful manufacturing IIOT pilot

Cloudera

Investing in upskilling and reskilling is a top priority for most business leaders, and if you find that your team lacks the skills to pull off an IIOT pilot project, jump on that trend and make training an integral part of the pilot project. 2 – The Process. An important aspect of the process is your metrics.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Assess workloads In cloud computing, a workload refers to any service, application or capability that consumes cloud resources (e.g.,

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. One solution with immense potential is ”edge computing.” displaying BI insights for human users).