Skip to main content

AWS Solutions Library

Guidance for Industrial Data Fabric with Snowflake and HighByte on AWS

Overview

The Guidance demonstrates how to create an enterprise-governed model in HighByte, ingest real-time, historical, and transactional data at scale from edge and cloud data sources into Snowflake, and interface with applications using REST APIs. It addresses challenges faced by operations leaders at manufacturing and industrial companies with disconnected, siloed data sources by enabling a scalable, unified, and integrated mechanism to harness data as an asset. By providing economical, secure, and easy access to high-quality datasets, the Guidance helps you build the foundation for digital industrial transformation and optimize operations across quality, maintenance, materials management, and process optimization.

How it works

This architecture diagram demonstrates how to create an enterprise-governed model in HighByte that ingests real-time, historical and transactional data at scale from edge and cloud data sources into Snowflake.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Serverless offerings such as Amazon S3, Amazon MSK, and Amazon Managed Grafana offload the burden of managing underlying infrastructure. This allows the focus to remain on core functionality and continuous improvement of your workloads. These AWS services provide scalability, elasticity, high availability, and durability, automatically scaling up or down based on demand.

Read the Operational Excellence whitepaper

Certificate-based encryption enhances the security of this Guidance by authenticating communicating parties and helping to ensure confidentiality, integrity, and non-repudiation of data. This automated approach eliminates manual key exchange, establishing a trusted, encrypted channel for data transfer between systems like HighByte Intelligence Hub and Snowflake, safeguarding sensitive information.

Read the Security whitepaper 

Services like Amazon S3, Amazon MSK, and Amazon Managed Grafana are fully managed by AWS, handling infrastructure, software updates, patches, and ongoing maintenance. These scalable services automatically adjust resources to meet fluctuating demand, helping to ensure consistent performance and availability during high traffic periods. Additionally, built-in disaster recovery and backup capabilities provide data durability and recovery from failures or outages, further enhancing reliability.

Read the Reliability whitepaper

The Guidance leverages purpose-built storage services and features like Amazon S3 cross-region replication (CRR) to reduce latency, increase throughput, and support scalability for data-driven workloads. By using geographically distributed storage across AWS Regions, the Guidance can provide lower-latency data access and match specific access patterns. These scalable services allow seamless capacity adjustments to handle fluctuating traffic and data demands for consistent performance.

Read the Performance Efficiency whitepaper

This Guidance uses purpose-built storage services such as Amazon S3 and Amazon MSK to reduce latency and increase throughput while optimizing costs. By using managed services, it offloads infrastructure provisioning, configuration, and maintenance burdens, allowing focus on core application functionality. Services such as Amazon S3 and Amazon MSK are optimized for specific low-cost durable storage and high-throughput streaming, respectively. Additionally, managed services reduce operational costs through features like automatic scaling and software updates, minimizing operational overhead.

Read the Cost Optimization whitepaper

Scalable cloud services like Amazon S3 align with sustainability goals through on-demand usage and efficiency, paying only for consumed resources. Cloud providers' economies of scale and optimized infrastructure often result in lower carbon emissions per unit of computing power. Cloud infrastructure reduces hardware waste by eliminating constant provisioning and replacement of physical hardware.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.