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What is AWS SageMaker?

Edureka

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

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What is the Learning Path to Become an AWS Certified Solutions Architect Associate?

Knowledge Hut

The AWS Solutions Architect – Associate certification is designed to help you in architecting and deploying AWS solutions using AWS’ best practices. After getting certified, you will be able to architect, secure, manage, and optimize deployment and operations on the AWS platform.

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What Is AWS (Amazon Web Services): Its Uses and Services

Knowledge Hut

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

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What is Amazon Aurora?

Edureka

AWS has come up with a cloud-native database service known as Amazon Aurora. Aurora combines the power and security of business databases. For those new to AWS, exploring AWS Training may help. For those new to AWS, exploring AWS Training may help. It can deepen your understanding of AWS services.

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Data Engineering Weekly #175

Data Engineering Weekly

[link] Piethein Strengholt: Integrating Azure Databricks and Microsoft Fabric Databricks buying Tabluar certainly triggers interesting patterns in the data infrastructure. Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure. Will they co-exist or fight with each other?

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.