Tag: Amazon Athena

Managed Blockchain follows an event-driven architecture. We can open up a wide range of analytic approaches by streaming events to Amazon Kinesis. For instance, we could analyze events in near-real time with Kinesis Data Analytics, perform petabyte scale data warehousing with Amazon RedShift, or use the Hadoop ecosystem with Amazon EMR. This allows us to use the right approach for every blockchain analytics use case.
In this post, we show you one approach that uses Amazon Kinesis Data Firehose to capture, monitor, and aggregate events into a dataset, and analyze it with Amazon Athena using standard SQL.

Amazon Relational Database Service (RDS) helps you easily create, operate, and scale a relational database in the cloud. In January 2020, AWS announced the ability to export snapshots from Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon Aurora PostgreSQL, and Amazon Aurora MySQL into Amazon S3 in Apache Parquet format. […]

November 2022: Please refer to Accelerate Amazon DynamoDB data access in AWS Glue jobs using the new AWS Glue DynamoDB Export connector for more recent updates on using Amazon Glue for extraction data from DynamoDB. More than 100,000 AWS customers have chosen Amazon DynamoDB for mobile, web, gaming, ad tech, IoT, and many other applications. […]

You can reap huge analytical value from billions of items and millions of requests per second in your Amazon DynamoDB service. However, you need to export your data in order to get that analytical value. Copying the data from a DynamoDB table to an analytics platform allows you to extract rich insights. In order to […]

Amazon Aurora offers a high-performance advanced auditing feature that logs detailed database activity to the database audit logs in Amazon CloudWatch. If you are using Aurora 1.10.1 or greater, you can use advanced auditing to meet regulatory or compliance requirements by capturing eligible events like tables queried, queries issued, and connections and disconnections. You can […]

Prahlad Rao is a solutions architect at Amazon Web Services. When you replicate a relational database to the cloud, one of the common use cases is to enable additional insights on the replicated data. You can apply the analytics and query-processing capabilities that are available in the AWS Cloud on the replicated data. To replicate […]