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Tag: data catalog

Run Apache Spark 3.5.1 workloads 4.5 times faster with Amazon EMR runtime for Apache Spark | Amazon Web Services

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime that is 100% API compatible with open source Apache Spark. It offers faster...

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Simplify data lake access control for your enterprise users with trusted identity propagation in AWS IAM Identity Center, AWS Lake Formation, and Amazon S3...

Many organizations use external identity providers (IdPs) such as Okta or Microsoft Azure Active Directory to manage their enterprise user identities. These users interact...

Introducing Amazon EMR on EKS with Apache Flink: A scalable, reliable, and efficient data processing platform | Amazon Web Services

AWS recently announced that Apache Flink is generally available for Amazon EMR on Amazon Elastic Kubernetes Service (EKS). Apache Flink is a scalable, reliable,...

Combining Data Management and Data Storytelling to Generate Value – KDnuggets

Lately, I have been focusing on data storytelling and its importance in effectively communicating the results of data analysis to generate value. However, my...

Adaptive Data Governance: What, Why, How – DATAVERSITY

In DATAVERSITY’s 2023 Trends in Data Management survey, about 64% of participants stated that their companies had Data Governance (DG), the formalization and enforcement of data operations across the...

Use AWS Glue Data Catalog views to analyze data | Amazon Web Services

In this post, we show you how to use the new views feature the AWS Glue Data Catalog. SQL views are a powerful object...

Governing data in relational databases using Amazon DataZone | Amazon Web Services

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone is a...

Introducing Amazon Q data integration in AWS Glue | Amazon Web Services

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability...

Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center | Amazon Web Services

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity...

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA | Amazon Web Services

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and...

Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries | Amazon Web Services

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes...

Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio | Amazon Web Services

Starting from release 6.14, Amazon EMR Studio supports interactive analytics on Amazon EMR Serverless. You can now use EMR Serverless applications as the compute,...

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...

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