Category: Application Integration

As organizations embark on their data modernization journey, big data analytics and machine learning (ML) use cases are becoming even more integral parts of business. The ease for data preparation and seamless integration with third-party data sources is of paramount importance in order to gain insights quickly and make critical business decisions faster. AWS Glue […]

Amazon Studios invests in content that drives global growth of Amazon Prime Video and IMDb TV. Amazon Studios has a number of internal-facing applications that aim to streamline end-to-end business processes and information workflows for the entire content creation lifecycle. The Amazon Studios Data Infrastructure (ASDI) is a centralized, curated, and secure data lake that […]

Software as a service (SaaS) based applications are in demand today, and organizations have a growing need to adopt them in order to make data-driven decisions. As such SaaS adoption grows, extracting data from various SaaS applications and running analytics across them gets complicated. You have to rely on a set of third-party tools to […]

Customers are adopting event-driven-architectures to improve the agility and resiliency of their applications. As a result, data engineers are increasingly looking for simple-to-use yet powerful and feature-rich data processing tools to build pipelines that enrich data, move data in and out of their data lake and data warehouse, and analyze data. AWS Glue is a […]

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 […]

Many customers are gathering large amount of data, generated from different sources such as IoT devices, clickstream events from websites, and more. To efficiently extract insights from the data, you have to perform various transformations and apply different business logic on your data. These processes require complex workflow management to schedule jobs and manage dependencies […]

As the industry grows with more data volume, big data analytics is becoming a common requirement in data analytics and machine learning (ML) use cases. Analysts are building complex data transformation pipelines that include multiple steps for data preparation and cleansing. However, analysts may want a simpler orchestration mechanism with a graphical user interface that […]

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 […]

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, […]

May 2024: This post was reviewed and updated with a new dataset. In a previous post, we introduced the Amazon EMR notebook APIs, which allow you to programmatically run a notebook on Amazon EMR Studio (preview) without accessing the AWS web console. With the APIs, you can schedule running EMR notebooks with cron scripts, chain multiple notebooks, […]