Amazon SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Data Wrangler enables a unified data preparation and model training  experience with Amazon SageMaker Autopilot in just a few clicks. This integration is now enhanced to include and reuse Data Wrangler feature transforms such as missing value imputers, ordinal/one-hot encoders etc., along with the Autopilot models for ML inference. When you prepare data in Data Wrangler and train a model by invoking Autopilot, you can now deploy the trained model along with all the Data Wrangler feature transforms as a SageMaker Serial Inference Pipeline . This will enable automatic preprocessing of the raw data with the reuse of Data Wrangler feature transforms at the time of inference. This feature is currently only supported for Data Wrangler flows that do not use join, group by, concatenate and time series transformations.

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor version 10.6.10. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

AWS Support continues to provide a mix of tools, technology, people, and programs to help you optimize performance, lower costs, and innovate faster. Today, the new AWS Support Plans Console experience makes it easier to view your current Support plan, the included features within that plan, and compare your plan with other AWS Support Plans.

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 5.7.39. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and, to benefit from the numerous fixes, performance improvements, and new functionality added by the MySQL community.

We are excited to announce that Amazon SageMaker Model Training now supports SageMaker Training Managed Warm Pools. Users can now opt in to keep their machine learning (ML) model training hardware instances warm for a specified duration of time after the job completes. Using this feature, customers can do iterative experimentation or run consecutive jobs at scale for model training on the same warm instances, with up to 8x reduction reduction in job startup latency.

AWS has updated the Monthly Uptime Percentage in the service level agreement (SLA) for AWS Cloud Map to 99.99%.

AWS Service Catalog makes improvements on usability for customers who are provisioning AWS resources via the AWS Service Catalog console. These changes will help enable better error handling and reduce friction in the provisioning workflow.

In 1990 two of the Apple Mac team and others formed a new company. What they set out to make was, wrote the CEO: “A tiny computer, a phone, a very personal object . . . It must be beautiful. It must offer the kind of personal satisfaction that a fine piece of jewelry brings. …

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Although the £ has fallen most against the $ of all the major currencies, it is by no means the only one –  as this graphic from Bloomberg shows. The reason for the strong $ is the USA’s determination to stop inflation which it is tackling by moving quickly to hike the target for its federal …

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Panasonic’s PhotoMOS HE relay series offers 5kV I/O isolation and an increased clearance and creepage distance on output side, plus miniature 1-Form-A DIP5 packaging, making it a suitable switching device for Battery Management Systems (BMS) in storage systems, charging stations, and numerous other high voltage measurement and infrastructure control applications.  “These devices extend the load …

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