Remove Books Remove Data Lakes Remove Data Pipeline
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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

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Architect a mature generative AI foundation on AWS

Flipboard

For the preceding techniques, the foundation should provide scalable infrastructure for data storage and training, a mechanism to orchestrate tuning and training pipelines, a model registry to centrally register and govern the model, and infrastructure to host the model. She has presented her work at various learning conferences.

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Five benefits of a data catalog

IBM Journey to AI blog

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

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Scale knowledge management use cases with generative AI

IBM Journey to AI blog

Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system. It provides the combination of data lake flexibility and data warehouse performance to help to scale AI.

AI 69
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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks. From now on, we will launch a retraining every 3 months and, as soon as possible, will use up to 1 year of data to account for the environmental condition seasonality.

AWS 115
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Fine-tune your data lineage tracking with descriptive lineage

IBM Journey to AI blog

Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to understanding and maintaining a trustworthy system of data pipelines.

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