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Dairyland powers up for a generative AI edge

CIO Business Intelligence

Melby pushed machine learning models into production very early at Dairyland, improving the cooperative’s weather forecasting capabilities and creating load management applications that “bent the curve” to best manage the company’s power load on peak days, the CIO says.

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

TDC Digital struggled with operational costs due to the unpredictability of the billing system TDC Digital encountered difficulties in accurately forecasting their monthly bills due to hidden charges in the billing process. These issues started impacting their customer experience and eventually led to customer retention challenges.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Typically, you have multiple accounts to manage and run resources for your data pipeline. His team focuses on building distributed systems to enable customers with interactive and simple to use interfaces to efficiently manage and transform petabytes of data seamlessly across data lakes on Amazon S3, databases and data-warehouses on cloud.

Metrics 111
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5 ways to maximize your cloud investment

CIO Business Intelligence

But while McMasters’ forecasts are now more accurate, he still likes to have a cushion: he gives himself a 10 to 20% margin when pre-booking capacity, he says. “Understand your licensing schemes and usage policies, which can be very complicated,” says McMasters. What exactly happens if you go over and what will they charge you?”

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Extreme data center pressure? Burst to the cloud with CDP!

Cloudera

For example, the bank from our example might have separate destination data lakes for their perpetual and periodic workloads to support addressing these VIP workloads separately. These are VIP users who perpetually need data center resources so they can perform mission-critical work for the organization on a routine basis.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 107
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.