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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective. This is a physical device, in the IoT (Internet of Things) family of sensors, that collects and streams data from the edge (i.e.,

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. log analytics and anomaly detection) across distributed data sources and diverse enterprise IT infrastructure resources.

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12 considerations when choosing MES software

IBM Big Data Hub

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

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Emerging Technologies: Creating New Ways to Solve Business Problems

CIO Business Intelligence

While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible — along with an understanding of emerging technologies and how they can be used. Ghislaine Entwistle. perhaps, ….”organize

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

AWS Big Data

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. Therefore, SOCAR looked for purpose-built databases tailored to the needs of their application and usage patterns while meeting the future requirements of SOCAR’s business and technical requirements.

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

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. They should also provide optimal performance with low or no tuning. The following diagram is a conceptual analytics data hub reference architecture. Data repositories represent the hub.

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What IT will look like in 2025

CIO Business Intelligence

The internet of things is going to continue to explode,” says Craig Wright, senior partner for advisory and transformation at management and technology consulting firm West Monroe. Consequently, CIOs will be building out more advanced analytics — either on their own or in partnership with their data and/or digital executive colleagues.

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