Category: Analytics

Organizations require systems and mechanisms in place to gather and analyze large amounts of data as it is created, in order to get insights and respond in real time. Stream processing data technologies enable organizations to ingest data as it is created, process it, and analyze it as soon as it is accessible. In this […]

This is a guest blog post by Oliver Jägle, Software Architect at DB Curbside Management, in partnership with AWS Senior Solutions Architect Ben Freiberg. Have you ever rented a scooter or a bicycle instead of walking or taking a bus? You’re not alone. More and more people around the globe have adopted this sort of […]

Businesses need near realtime access to the latest data and metadata available from many silos to perform analytics. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML) and application development. AWS Glue Data Catalog is a centralized […]

In this post, we discuss how you can build an Internet of Things (IoT) sensor network solution to process IoT sensor data through AWS IoT Core and store it with Amazon DocumentDB (with MongoDB compatibility). An IoT sensor network consists of multiple sensors and other devices like RFID readers made by various manufacturers, generating JSON […]

Businesses such as Paxos that issue stablecoin USD tokens want to find a way to identify common token metrics such as top holders, daily active users, daily volume, total number of holders, latest transfers, top Decentralized Finance (DeFi) protocols the tokens have been used on, and more. With Amazon Managed Blockchain (AMB) Query and Amazon […]

This is a two-part series. In this post, we explain three archival solutions that allow you to archive Oracle data into Amazon Simple Storage Service (Amazon S3). In Part 2 of this series, we explain three archival solutions using native Oracle products and utilities. All of these options allow you to join current Oracle data with archived data.

This post describes a methodology to transform and migrate data from a relational database like Amazon Relational Database Service (Amazon RDS) for MySQL to a non-relational database like Amazon DocumentDB (with MongoDB compatibility) using AWS Glue.

In this post, we show you how to integrate Amazon DocumentDB (with MongoDB compatibility) with Amazon OpenSearch Service using AWS Lambda integration and run full-text search, fuzzy search, and synonym search on an artificially generated reviews dataset. Amazon DocumentDB is a fast, scalable, highly durable, and fully managed database service for operating mission-critical MongoDB API-compatible […]

Amazon Relational Database Service (Amazon RDS) Multi-AZ deployments provide enhanced availability and durability for your RDS database instances. You can deploy highly available, durable PostgreSQL databases in three Availability Zones using Amazon RDS Multi-AZ DB cluster deployments with two readable standby DB instances. With a Multi-AZ DB cluster, applications gain automatic failovers in typically under […]

August, 2024: This post has been updated to reflect advances in technology and new features AWS released, to help you on your generative AI journey. Generative artificial intelligence (AI) has captured our imagination and is transforming industries with its ability to answer questions, write stories, create art, and generate code. AWS customers are increasingly asking […]