Social Media Ideas for Amazon Timestream

Latest updates for Amazon Timestream

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aws.amazon.com /1 week ago

Deliver real-time data to streaming tables for Apache Iceberg with Amazon Kinesis Data Streams

Amazon Kinesis Data Streams now supports streaming tables, a fully managed capability that continuously delivers your streaming data as queryable Apache Iceberg tables on Amazon S3...

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aws.amazon.com /3 weeks ago

Amazon Aurora DSQL observability concepts and usage with Amazon CloudWatch

Amazon Aurora DSQL offers time-based observability through Amazon CloudWatch Database Insights. Learn how the DSQL observability model, DASH, Database Insights, PromQL, and the sys...

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aws.amazon.com /3 weeks ago

Unlocking real-time analytics: Streaming Aurora DSQL changes into Apache Iceberg

Stream Amazon Aurora DSQL change data capture (CDC) events into Apache Iceberg tables on Amazon S3 with Amazon Data Firehose, then query them using Amazon Athena. This post walks t...

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aws.amazon.com /1 month ago

Scale smart, not just big: a practical guide to multi-node Amazon Timestream for InfluxDB 3 Enterprise

With the release of multi-node scaling for Amazon Timestream for InfluxDB 3 Enterprise, clusters can now support up to 15 nodes with distinct roles. You can separate ingestion, que...

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aws.amazon.com /1 month ago

Efficient log management with Amazon OpenSearch Service data streams

In this post, we show you how to implement data streams with Index State Management (ISM) in Amazon OpenSearch Service. This approach automatically manages your time series data li...

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aws.amazon.com /1 week ago

Build a real-time event pipeline with Spark Real-Time Mode on AWS Glue 6.0

With AWS Glue 6.0, you can build real-time, near-real-time, and batch data pipelines on a single platform. Using a financial market-risk example, learn how to flag high-risk trades...

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aws.amazon.com /2 weeks ago

Long-term system tables retention in Amazon Redshift with Amazon S3 Tables

Amazon Redshift system table integration with Amazon S3 Tables automatically delivers your system table logs to Amazon S3 Tables in Apache Iceberg format. You can retain this data...

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aws.amazon.com /1 week ago

Introducing strands-dynamodb-storage: Durable agent storage for the Strands Agents SDK

Announcing strands-dynamodb-storage, an open source Amazon DynamoDB storage backend for the Strands Agents SDK. Back a Strands agent's session state, long-term memories, and transc...

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aws.amazon.com /1 month ago

Deliver Apache Kafka data to streaming tables for Apache Iceberg with Amazon MSK Express brokers

Announcing delivery to streaming tables on Apache Iceberg for Amazon MSK Express brokers, a fully managed capability that continuously materializes your Kafka streaming data as que...

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aws.amazon.com /5 days ago

Monitor self-managed databases with Amazon CloudWatch Database Insights

Amazon CloudWatch Database Insights now extends to self-managed databases. Monitor self-managed PostgreSQL on Amazon EC2 alongside your Amazon Aurora and Amazon RDS fleet from a si...

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aws.amazon.com /6 days ago

Query Amazon S3 Tables from Amazon EMR Trino using the Iceberg REST endpoint

Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...

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aws.amazon.com /3 weeks ago

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams. T...

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aws.amazon.com /6 days ago

Build a dynamic streaming data lake with Apache Iceberg and Apache Flink

Learn how to build a dynamic streaming data lake on Amazon Managed Service for Apache Flink that adapts to new event types and schema changes without stopping the pipeline, using A...

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aws.amazon.com /1 month ago

AI-powered incident analysis for Amazon RDS using automated forensic artifacts

In this post, we demonstrate a serverless approach to continuous forensic artifact collection for Amazon RDS and Amazon Aurora databases. By capturing point-in-time snapshots of da...

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aws.amazon.com /1 month ago

Building a scalable personalized recommendation system on AWS: From batch to real-time

Learn how the Everyday Essentials team built a scalable personalized recommendation platform on AWS using a batch-first architecture with Amazon MWAA for orchestration, Amazon Sage...

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aws.amazon.com /3 weeks ago

Faster scaling for Aurora serverless to support agentic AI and other spiky workloads

Aurora serverless now automatically adds 12 Aurora Capacity Units to its current capacity within a second, and continues scaling to 256 ACUs as your workload grows. In this post, w...

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aws.amazon.com /1 week ago

Build with geospatial and variant types in Iceberg v3 on AWS Glue 6.0

AWS Glue 6.0 with Apache Spark 4.1 adds support for Apache Iceberg v3: native geospatial types, nanosecond-precision timestamps, the VARIANT type, and DEFAULT column values. This p...

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aws.amazon.com /3 weeks ago

How AppFolio transformed its data streaming architecture with Amazon MSK Express brokers

Learn how AppFolio transformed its data streaming architecture by adopting Amazon MSK Express brokers, replacing hours-long rebalances and manual storage planning with a platform t...

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computerweekly.com /1 week ago

AWS S3 & AI: A Computer Weekly Downtime Upload podcast

We speak to AWS’ Mai-Lan Tomsen Bukovec about S3 growth, DuckDB and how AI is helping people understand their data

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aws.amazon.com /3 weeks ago

Powering agentic AI with real-time streaming data on AWS

Agentic AI applications now observe, reason, and act on streaming data in production. This post presents three architecture patterns that form a unified streaming backbone for the...

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aws.amazon.com /4 weeks ago

AI-powered cost optimization agent for Amazon Kinesis Data Streams

Learn how to deploy an open-source, AI-powered agent built on Amazon Bedrock that automatically analyzes every Amazon Kinesis Data Streams stream in your account, compares costs ac...

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aws.amazon.com /21 hours ago

Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Amazon SageMaker Feature Store now supports feature-level writes. With the new UpdateRecord API, you can update one or more feature values in a single call without reading or rewri...

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aws.amazon.com /2 weeks ago

AWS and DuckLabs: Building the future of analytics together

Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect...

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dev.to /2 weeks ago

Building a Modern Data Lakehouse on AWS: S3, Iceberg, Glue, Athena, and Lake Formation

The data lakehouse has become the default architecture for analytics on AWS in 2026. It combines the best of both worlds: the low-cost, schema-flexible storage of a data lake (S3)...

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