AWS Big Data Blog

Category: Learning Levels

Introducing field-based coloring experience for Amazon QuickSight

Color plays a crucial role in visualizations. It conveys meaning, captures attention, and enhances aesthetics. You can quickly grasp important information when key insights and data points pop with color. However, it’s important to use color judiciously to enhance readability and ensure correct interpretation. Color should also be accessible and consistent to enable users to […]

Build and share a business capability model with Amazon QuickSight

The technology landscape has been evolving rapidly, with waves of change impacting IT from every angle. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services. The change factors impacting IT organizations include: The shift from a traditional application model to a services-based application model (SaaS, PaaS) […]

How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

Amazon Finance Automation (FinAuto) is the tech organization of Amazon Finance Operations (FinOps). Its mission is to enable FinOps to support the growth and expansion of Amazon businesses. It works as a force multiplier through automation and self-service, while providing accurate and on-time payments and collections. FinAuto has a unique position to look across FinOps […]

Create a comprehensive view of AWS support cases with Amazon QuickSight

AWS customers are looking for an efficient tracking method of support cases raised with AWS Support across their multiple interconnected accounts. Having a unified view lets the cloud operations team derive actionable insights across the support cases raised by different business units and accounts. This helps ensure that the team has a comprehensive understanding of […]

Configure end-to-end data pipelines with Etleap, Amazon Redshift, and dbt

This blog post is co-written with Zygimantas Koncius from Etleap. Organizations use their data to extract valuable insights and drive informed business decisions. With a wide array of data sources, including transactional databases, log files, and event streams, you need a simple-to-use solution capable of efficiently ingesting and transforming large volumes of data in real […]

Level up your React app with Amazon QuickSight: How to embed your dashboard for anonymous access

Using embedded analytics from Amazon QuickSight can simplify the process of equipping your application with functional visualizations without any complex development. There are multiple ways to embed QuickSight dashboards into application. In this post, we look at how it can be done using React and the Amazon QuickSight Embedding SDK. Dashboard consumers often don’t have […]

Access Amazon OpenSearch Serverless collections using a VPC endpoint

Amazon OpenSearch Serverless helps you index, analyze, and search your logs and data using OpenSearch APIs and dashboards. The OpenSearch Serverless collection is a group of indexes. API and dashboard clients can access the collections from public networks or one or more VPCs. For VPC access to collections and dashboards, you can create VPC endpoints. […]

Extract time series from satellite weather data with AWS Lambda

Extracting time series on given geographical coordinates from satellite or Numerical Weather Prediction data can be challenging because of the volume of data and of its multidimensional nature (time, latitude, longitude, height, multiple parameters). This type of processing can be found in weather and climate research, but also in applications like photovoltaic and wind power. […]

Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to […]

Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Managed Service for Apache Flink Studio

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. 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. In this post, we […]