AWS Partner Network (APN) Blog

Category: Technical How-to

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TextRay from Systems Limited is a Solution on AWS for Extracting Information from Scanned Documents

TextRay is an information extraction solution that automatically extracts data from scanned documents using deep learning models. It leverages AWS services to provide a scalable and cost-effective way to process documents while reducing errors and turnaround time. An AWS CloudFormation template simplifies deployment, while a pre-trained base model demonstrates TextRay’s precision in extracting tabular and form data into structured CSV outputs.

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Connecting Teradata Vantage to Amazon Athena

The Amazon Athena Teradata Connector enables Athena to query data in Teradata Vantage using SQL, and comprises two AWS Lambda functions for metadata and record reading. This post describes deploying the connector, creating a Lambda layer for the Teradata JDBC driver, and running queries on Teradata from Athena, including a federated query joining Teradata and S3 data. This provides a scalable, serverless way to analyze data across different data stores without data duplication.

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How to Import and Manage AWS Networking with Terraform and ControlMonkey

Using the AWS console to manage cloud infrastructure can be convenient and user-friendly, especially for beginners or small projects. Yet, it also carries inherent challenges when used at scale. In this post, we will dive deep into how ControlMonkey can assist you with transitioning manually-created environments to an Infrastructure as Code approach, integrating seamlessly with GitOps and Hashicorp Terraform.

How to Enhance Your Zero-Trust Security Journey on AWS with Cisco Duo

Cisco Duo integrates with AWS to establish and maintain zero-trust security. It helps to eliminate surface area through strict access policies, evaluate risk signals to require step-up authentication, and establish device trust through posture checks and compliance enforcement. Learn now to configure Duo’s policies that enable risk-based authentication, deploy Duo Desktop for device trust, and integrate Duo with AWS via SAML and OpenID Connect to protect AWS services and applications.

How to Build a Real-Time Analytics Platform Using Amazon Aurora and ThoughtSpot

Learn how to connect the ThoughtSpot analytics platform to an Amazon Aurora MySQL database for real-time operational analytics. This post outlines the steps to create an Aurora MySQL instance, populate it with sample data, create a connection from ThoughtSpot, and build generative AI-powered analytics using natural language search. By integrating ThoughtSpot and Aurora MySQL, businesses can get instant insights from their transactional database.

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How to Break Down Silos and Build Faster with Cloudcraft by Datadog

With increasing cloud innovation, distributed teams need visibility into their deployed cloud resources, dependencies, and budgets when architecting new applications or reconfiguring existing solutions. Cloudcraft by Datadog helps companies achieve this cross-team alignment and enables teams to visualize and document architectures, analyze costs, run compliance audits through shareable diagrams, and automate diagram updates as infrastructure evolves.

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How to Enable Secure Self-Service Amazon EKS Cluster Provisioning with ArgoCD, Kyverno, and Nirmata Policy Manager

Containers are a leading method for packaging applications, with Kubernetes emerging as the top orchestration solution. You can enable secure and efficient self-service cluster provisioning on Amazon EKS using open-source tools like AWS Controllers for Kubernetes (ACK), Kyverno, and ArgoCD. This post demonstrates how enterprises can leverage these tools along with Nirmata’s Policy Manager to streamline EKS cluster management, apply security policies, and ensure compliance in a Kubernetes environment.

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How Cornerstone Built a Full-Fledged Apache Kafka Replication Using Amazon MSK Connect

Cornerstone Consulting Group developed a plugin to simplify migrating on-premises or Amazon EC2 self-managed Apache Kafka clusters to Amazon MSK. The plugin automates MirrorMaker 2 replication, scales connectors, and integrates monitoring and notifications. It supports requirements like zero data loss, minimal code changes, auto-scaling, and performance/security parity. The plugin eases complex setup steps, working seamlessly for a smooth cutover to Amazon MSK after replication completes.

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How to Use ThoughtSpot to Create Live Queries Against Amazon Athena Tables

Amazon Athena allows analyzing petabytes of data directly with SQL queries or via analytics tools like ThoughtSpot. This post covers creating an IAM access key, two Amazon S3 buckets (one for data storage, one for query results), creating an Amazon Athena table from sample data using an AWS Glue crawler, and establishing a connection between Athena and ThoughtSpot. With the connection, ThoughtSpot can search and visualize the Athena data using AI capabilities.

Best Practices from Quantiphi for Unleashing Generative AI Functionality by Fine-Tuning LLMs

Fine-tuning large language models (LLMs) is crucial for leveraging their full potential across industries. Quantiphi unveils how fine-tuning supercharges LLMs to deliver domain-specific AI solutions that redefine possibilities. From personalized healthcare to precise financial predictions and streamlined legal reviews, fine-tuned models offer transformative value and unleash the power of customized, efficient, and responsible generative AI deployments.