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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

The amount of data and the number of power plants they need to collect data are rapidly increasing over time. For example, the volume of data required for training one of the ML models is more than 200 TB. Younggu Yun works at AWS Data Lab in Korea. The first step was to convert GRIB to the Parquet file format.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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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. Private cloud infrastructure is a dedicated cloud infrastructure operated solely for a single organization, either on-premises or hosted by a third party.

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