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Tag: Amazon Athena

Imperva optimizes SQL generation from natural language using Amazon Bedrock | Amazon Web Services

AI
This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of...

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Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3 | Amazon Web Services

Big Data
We are excited to announce the general availability of Amazon OpenSearch Service zero-ETL integration with Amazon Simple Storage Service (Amazon S3) for domains running...

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

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

Understanding Apache Iceberg on AWS with the new technical guide | Amazon Web Services

Big Data
We’re excited to announce the launch of the Apache Iceberg on AWS technical guide. Whether you are new to Apache Iceberg on AWS or...

Analyze Elastic IP usage history using Amazon Athena and AWS CloudTrail | Amazon Web Services

Big Data
An AWS Elastic IP (EIP) address is a static, public, and unique IPv4 address. Allocated exclusively to your AWS account, the EIP remains under...

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

Big Data
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

Big Data
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...

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

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

Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services

AI
Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With...

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

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

Amazon DataZone announces integration with AWS Lake Formation hybrid access mode for the AWS Glue Data Catalog | Amazon Web Services

Big Data
Last week, we announced the general availability of the integration between Amazon DataZone and AWS Lake Formation hybrid access mode. In this post, we...

Automate large-scale data validation using Amazon EMR and Apache Griffin | Amazon Web Services

Big Data
Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data...

Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose | Amazon Web Services

Big Data
You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your...
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