Remove Cost-Benefit Remove Data Integration Remove Data Warehouse
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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At the core of the next generation of Amazon SageMaker is Amazon SageMaker Unified Studio , a single data and AI development environment where you can find and access your organizations data and act on it using the best tool for the job across virtually any use case.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

By centralizing container and logistics application data through Amazon Redshift and establishing a governance framework with Amazon DataZone, EUROGATE achieved both performance optimization and cost efficiency. AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster.

IoT 105
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Cloud Data Warehouse Migration 101: Expert Tips

Alation

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

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Accelerate data integration with Salesforce and AWS using AWS Glue

AWS Big Data

Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. Reverse ETL use cases are also supported, allowing you to write data back to Salesforce. Kamen Sharlandjiev is a Sr. His secret weapon?

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Benefits of Data Vault Automation

erwin

The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements. This process often turns into year-long projects that cost millions of dollars and consume tens of thousands of engineering hours. job to AWS Glue 4.0.