aws-solutions / amazon-marketing-cloud-insights-on-aws
Amazon Marketing Cloud Insights on AWS helps advertisers and agencies running campaigns on Amazon Ads to easily deploy AWS services to store, query, analyze, and visualize reporting from the AMC API
☆12Updated 2 months ago
Alternatives and similar repositories for amazon-marketing-cloud-insights-on-aws:
Users that are interested in amazon-marketing-cloud-insights-on-aws are comparing it to the libraries listed below
- ☆17Updated 6 months ago
- Simplify the process of selecting application sources and preparing data for collaborating in AWS Clean Rooms☆13Updated last year
- ☆8Updated 4 months ago
- The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Pe…☆26Updated 3 months ago
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆21Updated last year
- Easily upload first-party signals into Amazon Marketing Cloud (AMC) for evaluating and planning advertising campaigns☆20Updated 2 months ago
- Reference Architecture to automate the use of S3 Express One Zone as a caching layer for S3 Regional Buckets.☆11Updated 6 months ago
- Provides real-time data ingestion from OSI PI Data Archive to a modern data architecture on AWS with integrations to OSI PI Asset Framewo…☆9Updated last year
- This Guidance helps customers design a resilient batch process application using AWS services☆15Updated 3 months ago
- This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, …☆23Updated 2 months ago
- How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedr…☆14Updated last month
- ☆13Updated 6 months ago
- aws-solutions-library-samples / guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automationThis Guidance shows how Amazon Bedrock Data Automation streamlines the generation of valuable insights from unstructured multimodal conte…☆14Updated this week
- MLOps Pipeline for Amazon Forecast written in AWS CDK☆11Updated this week
- The repository guides you through generating a synthetic dataset for a QA-RAG application using the Bedrock API, Python and Langchain.☆15Updated 4 months ago
- This repository contains examples and sample code to help customers get started with using Amazon Neptune in Generative AI applications.☆17Updated 2 weeks ago
- ☆12Updated last year
- ☆7Updated last month
- CDK Deployment for a sample marketing portal using generative AI for content generation and distribution☆20Updated 2 months ago
- Samples and documentation for various advertising and marketing use cases on AWS.☆35Updated last year
- aws-solutions-library-samples / guidance-for-text-generation-using-embeddings-from-enterprise-data-on-awsThis Guidance demonstrates question answering using Retrieval Augmented Generation (RAG) with foundation models in Amazon SageMaker JumpS…☆10Updated 3 months ago
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆42Updated 3 months ago
- This Guidance helps businesses build a real-time recommendation pipeline using Amazon Personalize☆15Updated 3 months ago
- ☆13Updated 8 months ago
- ☆31Updated 9 months ago
- ☆14Updated last year
- Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service☆22Updated last month
- dApp authentication with Amazon Cognito and Web3 proxy with Amazon API Gateway☆13Updated 5 months ago