AWS Partner Network (APN) Blog

Tag: AWS Partner Solutions Architects (SA)

Automatically Detect and Protect Sensitive Data in Amazon S3 Using PK Protect Data Store Manager

PKWARE has been working on finding and protecting sensitive data in a range of data stores over the last 10 years. PK Protect Data Store Manager (DSM) on AWS is PKWARE’s flagship product that can scan for sensitive elements in structured and unstructured data, and optionally mask or encrypt the data. Organizations can also monitor access to the sensitive data using PK Protect DSM. In this post, we describe the steps to scan objects in Amazon S3 buckets and protect them with masking or encryption.

Flipboard Teams with Mactores to Modernize a High Volume HBase Data Platform to Fully-Managed Amazon EMR

Take an in-depth view of the cloud migration and data platform modernization process for Flipboard, which engaged Mactores Cognition for a thorough assessment of the self-managed platform and help migrating existing data workloads to a fully managed Amazon EMR serverless big data platform. The process streamlined Flipboard’s distributed database capabilities, allowing the social media platform to support user spikes at scale, maximize throughput performance, and prepare to expand the user base exponentially.

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Multi-Tenant Customer Routing for Amazon RDS and Amazon Redshift with Heimdall Data

Learn how the Heimdall Database Proxy can be configured to provide customer query routing for Amazon RDS for Postgres, although any SQL database type including Amazon Redshift can be supported. This provides a single Heimdall Proxy endpoint to access data for multiple customers from multiple databases, transparently. Heimdall Data provides functionality needed to support many complex database environments, and solves many of the challenges in scaling database access.

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Fast, Accurate, Alternate Credit Decisioning Using ElectrifAi’s Machine Learning Solution on AWS

Infusing machine learning into core business processes such as credit scoring creates a competitive edge for banks and financial services institutions. It does not require a data science team, expertise, or platform rollout. Explore an ML-based credit-decisioning model built by ElectrifAi in collaboration with AWS whose model rapidly determines the creditworthiness of a SME, and data-driven, actionable insights reduce the overall processing cost and are consistent and free from any potential human biases.

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How to Secure Data Movement with Fivetran and AWS PrivateLink

To reduce the technical complexity and manual processes needed to build pipelines that meet various security policies, Fivetran offers flexible connection options to securely and reliably move enterprise data from source to destination. Fivetran runs on AWS and can support customers syncing data from databases and to destinations hosted on AWS, including the Amazon Redshift data warehouse. Integration with AWS PrivateLink also allows customers to send data without using the public internet.

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Keeping Pace with FinServ Regulatory Compliance Demands with Smarsh and AWS

Enterprises require the ability to be proactive on modern governance challenges. The difficulty is knowing what data you have, where it’s located, its business value or risk to the organization, and how it can be protected. The Smarsh Enterprise Platform enables companies to capture, retain, analyze, and act on the “signals” in communications that are most critical to the business. These include compliance and brand risks and may expand to include security threats, cultural indicators, untapped revenue opportunities, and more.

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Leveraging Amazon Transcribe and Amazon QuickSight to Extract Business Intelligence from Call Center Data

Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.

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Graph Feature Engineering with Neo4j and Amazon SageMaker

Featurization is one of the most difficult problems in machine learning. Learn how graph features engineered in Neo4j can be used in a supervised learning model trained with Amazon SageMaker. These novel graph features can improve model performance beyond what’s possible with more traditional approaches. Together, these components offer a graph platform that can be used to understand graph data and operationalize graph use cases.

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Integrating ReadMe with Amazon API Gateway to Keep Your Developer Hub Up to Date

The modern API lifecycle does not end once your CI/CD pipeline pushes a deployment to production and the API becomes available to clients. They still have to access documentation, try out different parts of the API, or get notifications about changes. API developer portals have become standard for businesses offering APIs to their partners and end users. Learn how to integrate ReadMe.com with Amazon API Gateway to make sure your documentation is up to date and gets changed every time you change the API.

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Building a Secure SaaS Application with Amazon API Gateway and Auth0 by Okta

Most applications require a form of identity service to manage, authenticate, and authorize users. In SaaS applications, multi-tenancy adds specific challenges to this task. To meet these needs, SaaS builders must consider integrating with an identity service provider. AWS services such as Amazon Cognito or AWS Partner services like Auth0 provide deep expertise in the field and allow you to focus on your SaaS application’s value proposition while relying on a secure, feature-rich identity provider.