Tag: Amazon Athena

Like many of today’s leading media and streaming platforms, PBS wanted to take its overall user experience to the next level. That’s why PBS approached AWS Premier Tier Consulting Partner ClearScale, a leader in machine learning. ClearScale came up with a detailed roadmap for tackling PBS’s recommendation system project that included data operations, MLOps, and demonstrational user interface. Together, PBS and ClearScale decided to move forward with an AWS-powered solution on top of Amazon Personalize.

Both AWS and Deloitte understand that a customer’s cloud journey is different and have their own set of requirements. This is why Deloitte’s Cyber CMS solution provides a wide range of options for businesses to choose from to create the right package for them. Learn how Cyber CMS can help organizations become more trustworthy, resilient, and secure through proactive management of cyber risks.

Data mesh is emerging as a paradigm for generating data-driven value and is gaining real-world adoption within industries like financial services and automotive. Learn about the user journeys of two types of data consumers in a mesh platform: business intelligence and data scientists. Explore how BI and AI/ML overlap within a set of data domains, and how a platform architecture further enables the desired experiences within a data mesh.

Data quality is traditionally inconsistent and slow across teams and functions. Custom solutions are purpose-built, of varying quality, and rarely maintained. Elula developed a proprietary Data Quality Checker (DQC) powered by AWS Glue, and an Automated Data Assessment (ADA) user interface to accelerate the identification and prioritization of issues. Elula is an AWS Partner and leading provider of artificial intelligence (AI) software to the financial services sector.

To ensure the safety of travelers and give them renewed confidence in flying, the air travel industry has introduced processes to obtain and validate COVID-19 vaccination information before journey commencement at the origin airport. In this post, we discuss how the WNS Document Verification Solution leverages Amazon Web Services (AWS) to capture auditor telemetry for enabling increased auditor productivity.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

Data-driven decision making is accelerating and defining the way organizations work. With this transformation, there has been a rapid adoption of data lakes across the industry. Hear from Rackspace, an AWS Premier Tier Services Partner, about the drawbacks of existing data lake architecture, what Apache Iceberg is, and how it overcomes the shortcomings of the current state of data lakes. Then dive deep on the design differences between Apache Hive and Iceberg.

Many SaaS applications store multi-tenant data with Amazon S3. Learn about the various strategies that can be applied when partitioning tenant data with S3, and explore the considerations that may influence how and when you apply these mechanisms in your own solution. See how this influences tenant isolation and the accessibility of S3 objects, and dive deep on tenant activity and cost tracking, lifecycle management for objects, and additional bucket security configurations.

For ePlus Technology, AWS GameDay was a golden opportunity for teams looking to transform their skills with AWS. GameDay is a collaborative learning exercise that tests skills in implementing AWS solutions to solve real-world problems. The gamified, risk-free environment provides a hands-on opportunity for technical professionals to explore AWS services, architecture patterns, best practices, and group cooperation.

To improve the fault detection process, it’s crucial to monitor production systems and collect performance data in real-time using smart sensors and IoT devices. This post highlights the critical aspects of Quantiphi’s serverless, fully-managed, and streaming ETL pipeline, along with the benefits of the centralized lakehouse (data lake + data warehouse) solution built on AWS. Learn how the solution helped a U.S.-based manufacturing company make better decisions and improve their customer’s production efficiency.