AWS Partner Network (APN) Blog

Tag: Analytics

How ClickHouse powers real-time AI Agents on Amazon Quick

Real-time AI agents are transforming how businesses make decisions—but only when they can access analytical data at conversational speed. This post shows you how to integrate ClickHouse Cloud with Amazon Quick using Model Context Protocol (MCP), delivering sub-second query responses across billions of data points. Learn how to empower your teams with natural language access to live operational data, enabling instant insights and actions without writing a single line of SQL.

How SAS Viya Workbench on AWS accelerated analytics innovation

SAS Viya Workbench on AWS provides a unified cloud environment for Python, R, and SAS, letting teams focus on building models instead of managing infrastructure. Its split-plane architecture keeps your data securely within your AWS account while SAS handles orchestration. With elastic scalability, pre-configured environments, and built-in collaboration, teams can accelerate analytics innovation from day one.

Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS

Maximize Marketing Impact with an AI-Driven Composable CDP powered by GrowthLoop and AWS

This post will explore what a composable CDP is and why organizations are embracing this new approach to data activation. Additionally, it will explain how organizations can integrate GrowthLoop’s composable CDP platform with their existing AWS infrastructure to enable an AI-powered feedback loop for smarter campaign activation.

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Streamlined Multiomics Data Analysis Leveraging Illumina Software on AWS

Illumina’s suite of multiomics analysis tools hosted on AWS include capabilities for quality control, data aggregation, and advanced analytics. In this post, we demonstrate how software from Illumina, including DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics enable researchers to build scalable, secure analytical pipelines while maintaining security, data privacy, and compliance at scale.

Accelerate SAP Data Replication with AWS and Fivetran

With increasing focus on IoT, AI/ML and generative AI, SAP data provides an unified view of business-critical information by streamlining operations, improving decision-making, and driving innovation. In this blog, we explore optimizing data management by leveraging a modern data architecture on AWS, and discuss how Fivetran automated SAP data replication accelerates enterprise processes and unlocks insights.

Optimizing AWS Costs with Effective Savings Rate and ProsperOps AI-Powered Automation

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.

Data-Driven Customer Management Across Data Silos, Powered by PwC’s Customer Insights Engine on AWS

Learn how PwC Customer Insights Engine on AWS is aimed at creation of single view of a customer by aggregating all data about that customer from across channels. CI Engine will provide end-to-end business outcomes with a readily-available analytics engine powered by machine learning (ML) and integrated with out-of-the-box analysis templates, ingestion, and transformation patterns and data pipelines.

Building a data foundation for AI using Snowflake and AWS

Snowflake By Daniel Wirjo, Solutions Architect – AWS By Benny Chun, Solutions Architect – AWS By Bosco Albuquerque, Sr. Partner Solutions Architect – AWS By Hans Siebrand, Cloud Data Architect – Snowflake By Matt Marzillo, Sr. Partner Engineer – Snowflake With recent advancements, building a data platform to provide a data foundation for generative AI […]

Discover and Protect Sensitive Data with HCLTech’s DataPatrol Framework Built with Machine Learning on AWS

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

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How to Use Matillion Data Loader for Batch Loading Data to Amazon Redshift Serverless

Amazon Redshift Serverless makes it easier to run and scale analytics without the burden of managing infrastructure. Learn how you can use Matillion Data Loader to extract data from source systems and load it to Amazon Redshift Serverless without having to worry about coding or managing infrastructure. Matillion Data Loader enables organizations that have data coming in from an ever-increasing number of sources and need faster, simpler access to insights and analytics.