Category: *Post Types

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping […]

September 2023: This post was reviewed and updated with a new dataset and related code blocks and images. AWS SDK for pandas is a popular Python library among data scientists, data engineers, and developers. It simplifies interaction between AWS data and analytics services and pandas DataFrames. It allows easy integration and data movement between 22 […]

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, both within QuickSight and embedded in your software as a service (SaaS) applications. QuickSight Enterprise edition started supporting nested conditions within row-level security […]

This is a guest post by Joseph Landucci from BWH Hotels. In their own words, “BWH Hotels is a leading, global hospitality enterprise comprised of three hotel companies, including WorldHotels, Best Western Hotels & Resorts and SureStay Hotels. Our mission is to deliver trusted guest experiences, drive hotel success and foster a caring, inclusive culture that respects […]

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. Apache Flink is a framework and distributed processing engine for stateful computations over data streams. Amazon Managed Service for Apache Flink is a fully managed service that […]

This is a guest post by Brian Kasen and Rebecca McAlpine from Trakstar, now a part of Mitratech. Trakstar, now a part of Mitratech, is a human resources (HR) software company that serves customers from small businesses and educational institutions to large enterprises, globally. Trakstar supercharges employee performance around pivotal moments in talent development. Our […]

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets. Data lakes are not transactional by default; however, there […]

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset. Many organizations today are using AWS Glue to build ETL pipelines that bring data […]

This is a guest post by Cynthia Valeriano, Jaime Olivares, and Guillermo Puelles from DeFontana. Defontana develops fully cloud-based business applications for the administration and management of companies. Based in Santiago, Chile, with operations in Peru, Mexico, and most recently Colombia, our main product is a 100% cloud-based enterprise resource planning (ERP) system that has […]

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational […]