AWS Partner Network (APN) Blog
Tag: Amazon Athena
How Thundra Decreased Data Processing Pipeline Delay By 3x on Average and 6x on P99
It can be complicated to maintain a robust, scalable, and reliable monitoring system that inputs terabytes of data under heavy traffic. Learn how Thundra has delivered 99.9 percent availability to customers since incorporating AWS services into its product. Thundra’s platform can handle scalability and availability challenges, recover both from partial failures and major outages, and support point-in-time recovery in case of disaster.
Unify On-Premises and Cloud-Hosted Data Assets Using Informatica Enterprise Data Catalog
Systems are growing more complex, cloud applications are growing in adoption, and cloud data lakes are being increasingly deployed. At the same time, organizations need to implement data cataloging solutions to provide data governance, data analytics, or pure metadata management. Informatica Enterprise Data Catalog (EDC) scans and catalogs an enterprise’s data assets, whether hosted on the cloud or stored on-premises.
Building an Intelligent Contact Center with Zendesk and Amazon Connect
Zendesk and VoiceFoundry released the Amazon Connect app on the Zendesk Marketplace as part of a broader vision for the intelligent contact center of the future. The Amazon Connect app for Zendesk brings together a wide set of capabilities and unlocks endless possibilities for you to empower your agents and better engage your customers. By combining the powers of Amazon Connect and Zendesk, businesses can build a more intelligent contact center.
Rapid Data Lake Development with Data Lake as Code Using AWS CloudFormation
Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.
Using Dremio for Fast and Easy Analysis of Amazon S3 Data
Although many SQL engines allow tools to query Amazon S3 data, organizations face multiple challenges, including high latency and infrastructure costs. Learn how Dremio empowers analysts and data scientists to analyze data in S3 directly at interactive speed, without having to physically copy data into other systems or create extracts, cubes, and/or aggregation tables. Dremio’s unique architecture enables faster and more reliable query performance than traditional SQL engines.
How to Enhance the Security and Compliance of Cloud Architectures with Datacom and AWS Services
Security and compliance governance is one of the most challenging problems organizations face when managing their cloud infrastructure. After years of working with AWS, Datacom Group has observed that each client has their own industry-specific security and compliance requirements. What’s needed is a solution that is flexible enough to cater to diverse customer requirements. Datacom’s governance solution is flexible and can integrate with a number of AWS native services to offer enhanced capabilities.
How to Turn Archive Data into Actionable Insights with Cohesity and AWS
A big challenge for enterprises is how to manage the growth of data in a cost-effective manner. CIOs are also looking for ways to get insights out of the data so their organizations can create actionable outcomes. Learn how the CloudArchive Direct feature of Cohesity’s DataPlatform with AWS analytics services to drive insights into customers’ NAS data. Cohesity is redefining data management to lower TCO while simplifying the way businesses manage and protect their data.
Implementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation
As organizations continue to build data lakes on AWS and adopt Amazon EMR, especially when consuming data at enterprise scale, it’s critical to govern your data lakes by establishing federated access and having fine-grained controls to access your data. Learn how to implement SAML-based authentication (AuthN) using Okta for Amazon EMR, querying data using Zeppelin notebooks, and applying column-level authorization (AuthZ) using AWS Lake Formation.
Quickly Build End-to-End Integrations to SaaS Partner Event Sources and AWS Services with Amazon EventBridge
AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.
Helping Healthcare Agencies Without Data Science Skills Get More from Patient Data
Infosys Public Services and AWS have collaborated to develop Infosys Health Insights Platform, an advanced data science platform that helps government healthcare agencies turn multi-source, multi-format data into insights and actions. Its goal is to deliver proactive and targeted interventions to the right people at the right time. This can improve care experience and outcomes across areas like population health management, epidemic management, behavioral health, and substance abuse.