Remove 2019 Remove Data Preparation Remove Structured Data
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Case Study: Ritual’s Move to Real-Time Analytics to Personalize the Multivitamin Experience

Rockset

Ritual started in 2016 with a single reimagined multivitamin for women and has since launched products for different stages of her life and seen tremendous growth, crossing the threshold of over 1M multivitamin bottle sales in 2019. The team at Ritual started a free trial of Rockset and was impressed at the ease of use.

Food 40
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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. That’s a lot of data to learn from.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.