AWS Big Data Blog
Category: HAQM AppFlow
Hydrate your data lake with SaaS application data using HAQM AppFlow
Organizations today want to make data-driven decisions. The data could lie in multiple source systems, such as line of business applications, log files, connected devices, social media, and many more. As organizations adopt software as a service (SaaS) applications, data becomes increasingly fragmented and trapped in different “data islands.” To make decision-making easier, organizations are […]
Easily ingest and analyze Google Analytics data with Upsolver and HAQM AppFlow
This post is co-written by Mei Long at Upsolver. Software as a service (SaaS) based applications are in demand today, and customers have growing need for adopting many of them in their use cases. As adoption grows, extracting data within these various SaaS applications and running analytics across them gets complicated. Although there are several […]
Integrating Datadog data with AWS using HAQM AppFlow for intelligent monitoring
Infrastructure and operation teams are often challenged with getting a full view into their IT environments to do monitoring and troubleshooting. New monitoring technologies are needed to provide an integrated view of all components of an IT infrastructure and application system. Datadog provides intelligent application and service monitoring by bringing together data from servers, databases, […]
Analyzing Google Analytics data with HAQM AppFlow and HAQM Athena
This post demonstrates how you can transfer Google Analytics data to HAQM S3 using HAQM AppFlow, and analyze it with HAQM Athena. You no longer need to build your own application to extract data from Google Analytics and other SaaS applications. HAQM AppFlow enables you to develop a fully automated data transfer and transformation workflow and an integrated query environment in one place.