AWS Partner Network (APN) Blog

Tag: AWS Lake Formation

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How LTIMindtree Solves for Cross-Account Sensitive Data Sharing Using AWS Services

Organizations have a requirement to implement data governance due to the presence of personally identifiable information. The process of sharing and operationalizing data movement becomes an involved task, as it must encompass data governance, data security, and include audit capabilities. Learn about a modern process LTIMindtree has introduced for data transfer using AWS Step Functions and for sharing transformed data to another account regardless of regional location.

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SaaS Data Isolation with Dynamic Credentials Using HashiCorp Vault in Amazon EKS

Tenant data isolation is a core SaaS concept, verifying that tenant resources remain in isolated environments. There are a number of ways to achieve this isolation, and one common approach is to use a token vending machine that issues tenant-scoped credentials at runtime. Explore an alternate approach to vending tokens that uses Amazon EKS and open-source HashiCorp Vault, simplifying access to the credentials and streamlining the overall management of tenant-scoped policies.

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Data Governance Across AWS Organizations for Security and Compliance

Data governance serves an important role in ensuring the quality, consistency, and security of data utilized across an organization. Using a multi-account structure with cross-account access is an AWS best practice that offers several other benefits. Learn how to set up a data governance system in AWS Organization accounts with clients’ use cases and solutions, and how ASCENDING overcame the technical challenges listed above.

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How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless

Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.

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New AWS Partner Program Launches and Updates Announced at re:Invent 2022

Thank you for joining us in Las Vegas for AWS re:Invent 2022! We hope you enjoyed all of the educational content and big announcements. If you missed anything or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for the AWS Partner community, including the Partner Keynote with Ruba Borno. Reminder that you can watch on-demand re:Invent keynotes, leadership sessions, breakouts, and more.

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PBS Provides Tailored Experiences for Viewers with Amazon Personalize

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.

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Developing Data-Driven IoT Business Models for Sustainability with Storm Reply

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.

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Implementing Data Analytics in Industrial Machines with Quantiphi and AWS-Native Solutions

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.

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Securely Querying Your Data Lake with Ahana Presto and AWS Lake Formation

Ahana provides a fully managed and easy-to-use service for running Presto on AWS, and customers like Metropolis use Ahana to query data in their Amazon S3-based data lake for business intelligence, ad-hoc analytics, and reporting. Learn how Metropolis uses AWS Lake Formation and Ahana to build a data lake that allows their analysts and data scientists to develop a simple, hands-free parking experience for their customers.

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Implementing Data Mesh Using LTI’s Canvas Scarlet Framework on AWS

As data grows at an exponential rate both in volume and velocity, it becomes important for organizations to carve out a strategy to store data in appropriate locations with the correct safeguards to address data access and privacy concerns. Learn how organizations can transform their data landscape into a more controlled, flexible, and secure landscape using LTI’s Canvas Scarlet Data Mesh framework built on AWS to meet the data challenges an organization faces today.