Tag: Amazon Athena

This is a guest post by Sara Miller, Head of Data Management and Data Lake, Direct Energy; and Zhouyi Liu, Senior AWS Developer, Direct Energy. Enterprise companies like Direct Energy migrate on-premises data warehouses and services to AWS to achieve fully manageable digital transformation of their organization. Freedom from traditional data warehouse constraints frees up […]

Amazon QuickSight is a fast, cloud-powered, business intelligence service that makes it easy to deliver insights and integrates seamlessly with your data lake built on Amazon Simple Storage Service (Amazon S3). QuickSight users in your organization often need access to only a subset of columns for compliance and security reasons. Without having a proper solution […]

We parse through millions of scooter and user events generated daily (over 300 events per second) to extract actionable insight. We selected AWS Glue to perform this task. Our primary ETL job reads the newly added raw event data from Amazon S3, processes it using Apache Spark, and writes the results to our Amazon Redshift data warehouse. AWS Glue plays a critical role in our ability to scale on demand. After careful evaluation and testing, we concluded that AWS Glue ETL jobs meet all our needs and free us from procuring and managing infrastructure.

Amazon Redshift is a fast, fully managed, cloud-native data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence tools. Many companies today are using Amazon Redshift to analyze data and perform various transformations on the data. However, as data continues to grow and become […]

This post demonstrates how you can transfer Google Analytics data to Amazon S3 using Amazon AppFlow, and analyze it with Amazon Athena. You no longer need to build your own application to extract data from Google Analytics and other SaaS applications. Amazon AppFlow enables you to develop a fully automated data transfer and transformation workflow and an integrated query environment in one place.

This post walks you through configuring ADFS 3.0 on a Windows Server 2012 R2 Amazon Elastic Compute Cloud (Amazon EC2) instance and setting up trust between ADFS 3.0 IdP and AWS through SAML 2.0. The post then demonstrates how to install the Athena OBDC driver on Amazon Linux EC2 instance (RHEL instance) and configure it to use ADFS for authentication.

Building a modern data platform on AWS enables you to collect data of all types, store it in a central, secure repository, and analyze it with purpose-built tools. Yet you may be unsure of how to get started and the impact of certain design decisions. To address the need to provide advice tailored to specific technology and application domains, AWS added the concept of well-architected lenses 2017. AWS now is happy to announce the Analytics Lens for the AWS Well-Architected Framework. This post provides an introduction of its purpose, topics covered, common scenarios, and services included.

This post showcases TruFactor Intelligence-as-a-Service data on AWS Data Exchange. TruFactor’s anonymization platform and proprietary AI ingests, filters, and transforms more than 85 billion high-quality raw signals daily from wireless carriers, OEMs, and mobile apps into a unified phygital consumer graph across physical and digital dimensions. TruFactor intelligence is application-ready for use within any AWS analytics or ML service to power your models and applications running on AWS, with no additional processing required.

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. This post demonstrates a serverless, cloud-based approach to building a network performance analytics solution using AWS services that can provide flexibility and performance while keeping costs under control with pay-per-use AWS services. […]

April 2024: This post was reviewed for accuracy. As the COVID-19 pandemic continues to threaten and take lives around the world, we must work together across organizations and scientific disciplines to fight this disease. Innumerable healthcare workers, medical researchers, scientists, and public health officials are already on the front lines caring for patients, searching for […]