AWS Database Blog

Category: Analytics

Store and stream sports data feeds using Amazon DynamoDB and Amazon Kinesis Data Streams

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Online bookmakers are innovating to offer their clients continuously updated sports data feeds that allow betting throughout the duration of matches. In this post, we walk through […]

Architecture Diagram

Build interactive graph data analytics and visualizations using Amazon Neptune, Amazon Athena Federated Query, and Amazon QuickSight

Customers have asked for a way to interact with graph datasets in Amazon Neptune using business intelligence (BI) tools such as Amazon QuickSight. Although some BI tools offer generic HTTP connectors that allow you to define a set of REST API calls to extract data from REST endpoints, you have to predefine either Gremlin or […]

Build a fault-tolerant, serverless data aggregation pipeline with exactly-once processing

The business problem of real-time data aggregation is faced by customers in various industries like manufacturing, retail, gaming, utilities, and financial services. In a previous post, we discussed an example from the banking industry: real-time trade risk aggregation. Typically, financial institutions associate every trade that is performed on the trading floor with a risk value […]

Build a near real-time data aggregation pipeline using a serverless, event-driven architecture

The collection, aggregation, and reporting of large volumes of data in near real time is a challenge faced by customers from many different industries, like manufacturing, retail, gaming, utilities, and financial services. In this post, we present a serverless aggregation pipeline in AWS. We start by defining the business problem, introduce a serverless architecture for […]

Filter Amazon Aurora database activity stream data for segregation and monitoring

Most organizations need to monitor activity on databases containing sensitive information to ensure security auditing and compliance. Although some security operations teams might be interested in monitoring all activities like read, write, and logons, others might want to restrict monitoring to activities that lead to changes in data and data structures only. In this post, […]

Building a data discovery solution with Amundsen and Amazon Neptune

This blog post was last reviewed or updated May, 2022. September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. In this post, we discuss the need for a metadata and data lineage tool and the problems it solves, how to rapidly deploy it in the language you prefer using […]

Analyze database performance with Amazon CloudWatch metric streams

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. With the announcement of Amazon CloudWatch Metric Streams, you can now stream near-real-time metrics data to a destination such as Amazon Simple Storage Service (Amazon S3). Metric Streams supports two primary use […]

Near real-time processing with Amazon Kinesis, Amazon Timestream, and Grafana

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. As organizations adopt and deploy home-connected smart devices, they face challenges utilizing device telemetry data in narrow and broad contexts. Examples of such home-connected devices are smart […]

How to migrate Amazon DynamoDB tables from one AWS account to another with AWS Data Pipeline

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Amazon QLDB data streaming via AWS CDK

Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. You can use Amazon QLDB to track each application data change, and it maintains a complete and verifiable history of changes over time. Because of those key features, banking customers have adopted Amazon QLDB as a database […]