Innovations in AWS analytics: Zero-ETL and data integrations (ANT348)

Operational Analytics with AWS Glue Zero ETL and Data Integrations

Introduction

  • The session aims to discuss operational analytics, the challenges customers face, and how AWS Powers customers to run such analytics through AWS Glue Zero ETL.
  • The agenda includes:
    • Understanding operational analytics and why customers need it
    • Challenges with traditional ETL approaches
    • Introducing AWS Glue Zero ETL and its benefits
    • Deeper dive into Zero ETL integrations with relational, NoSQL, and SaaS data sources
    • Customer use cases and patterns with Zero ETL
    • Journey of Motive Technologies with Zero ETL

Data Drives Innovation

  • Enterprises are becoming more data-driven and using data as a competitive advantage.
  • Data is no longer confined to back-office operations and underpins major business transformation initiatives.
  • With the advent of AI and machine learning, there is more emphasis on getting the right data at the right time.
  • Traditional ETL approaches don't always meet these requirements.

Challenges with Traditional ETL Approaches

  • Customers often have homegrown ETL solutions or use third-party tools, which result in operational overhead and issues.
  • These approaches are not built to last, and when things break, it can cause operational disruptions.
  • The data often becomes stale by the time it lands in the warehouse, making it unfit for consumption.

AWS Glue Zero ETL

  • AWS Glue Zero ETL is a fully managed, purpose-built tool by AWS to create data integrations.
  • It is secure, accurate, reliable, efficient, and performant, removing the operational overhead of building and maintaining data pipelines.
  • Zero ETL supports various data sources, including Amazon Aurora, RDS, DynamoDB, and SaaS applications like Salesforce, SAP, and Zendesk.
  • It combines ingestion and replication into a single process, eliminating the need for data replication pipelines.

Customer References

  • First Cry, a leading e-commerce platform in India, uses Zero ETL between Aurora and Redshift, reducing their SLA from 15 seconds to 120 milliseconds.
  • Verisk Analytics, a leading analytics company, used to have a homegrown solution that often timed out, causing operational pain. After switching to Zero ETL, they have seen a significant improvement in their experience.

Zero ETL Integration Demonstration

  • Demonstration of setting up Zero ETL integrations for relational (Aurora PostgreSQL), NoSQL (DynamoDB), and SaaS (Salesforce) data sources.
  • Showcased features like data filters, refresh intervals, and data type matching/conversion.
  • Highlighted the benefits of Zero ETL, including reduced operational overhead, improved latency, and seamless integration with Amazon Redshift.

Patterns and Use Cases with Zero ETL

  • Relational to Redshift: Selective replication, materialized views, and sort key optimizations.
  • NoSQL to Redshift: Handling data type differences, replication cadence, and using materialized views.
  • SaaS to Redshift/Lakehouse: Integrating application data, handling PII data, and leveraging features like data sharing.
  • Integrating with existing ETL pipelines: Simplifying data movement and leveraging Redshift capabilities.
  • Handling event-driven data sources: Utilizing Amazon S3 Auto Copy and streaming integrations.

Motive Technologies' Journey with Zero ETL

  • Motive Technologies is a leading provider of solutions and services for the physical economy, including fleet management, driver safety, and spend management.
  • Motive had a complex data integration landscape, with various ETL approaches and operational overhead.
  • After adopting Zero ETL, Motive was able to simplify their data integration, reduce latency, and achieve significant cost savings.
  • Motive is now looking to leverage Zero ETL across more use cases, including their vehicle message pipeline and migration to the Lakehouse architecture.

Conclusion

  • AWS Glue Zero ETL provides a purpose-built, fully managed solution to address the challenges of traditional ETL approaches.
  • Customers like Motive Technologies have seen significant benefits in terms of reduced operational overhead, improved data latency, and cost savings.
  • Zero ETL integrations support a wide range of data sources, including relational, NoSQL, and SaaS applications, enabling customers to break down data silos and unify their analytics.
  • The future roadmap includes extending Zero ETL to support emerging data architectures like the Lakehouse, further simplifying data integration and enabling advanced analytics.

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