AWS Big Data Blog

In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the simplest solution appeared to be a straightforward lift-and-shift migration from one relational database to another. However, we decided to step back and focus […]

Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, […]

Bannerconnect uses programmatic marketing solutions that empower advertisers to win attention and customers by getting their ads seen by the right person at the right time and place. Data-driven insights help large advertisers, trade desks, and agencies boost brand awareness and maximize the results of their digital marketing. Timely analysis of log data is critical […]

The Amazon Payments Data Engineering team is responsible for data ingestion, transformation, and the computation and storage of data. It makes these services available for more than 300 business customers across the globe. These customers include product managers, marketing managers, program managers, data scientists, business analysts and software development engineers. They use the data for […]

This blog post focuses on two measures to restructure Amazon CloudFront access logs for optimization: partitioning and conversion to columnar formats. For more details on performance tuning read the blog post about the top 10 performance tuning tips for Amazon Athena.

Apache Spark and Hadoop are popular frameworks to process data for analytics, often at a fraction of the cost of legacy approaches, yet at scale they may still become expensive propositions. This blog post discusses ways to reduce your total costs of ownership, while also improving staff productivity at the same time. This can be […]

This post walks you through some of the principles of Amazon EMR security. It also describes features that you can use in Amazon EMR to help you meet the security and compliance objectives for your business. We cover some common security best practices that we see used. We also show some sample configurations to get you started.

This blog post discusses an efficient architecture to stream, analyze, and store Microsoft Exchange Server logs. For frequent queries and operational analytics, we use Amazon Elasticsearch Service (Amazon ES) and Kibana for real-time visualization.

Starting today, you can embed Amazon QuickSight dashboards in your applications. This means you can now quickly and efficiently enhance your applications with advanced interactive data visualizations and analytics capabilities without any custom development.

Amazon QuickSight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues to […]