Build, Scale and Future-Proof Your Data Pipeline Architecture

Well-architected data infrastructure is key to driving value from data. As data grows larger and more complex, many organizations are saddled with the complexity and cost of independently managing hundreds of data pipelines in order to ensure data is consistent, reliable, and analytics-ready. Is there a better way?

Access our free eBook to learn:

– The definition of a data pipeline and a data pipeline architecture

– How to design real-time streaming ETL pipelines

– Data warehouse, data lake, and data mesh pipeline architecture

– Best practices, examples, and diagrams

– How Upsolver can help you optimize your complex data pipelines

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This guide is for:

  • Data engineering leaders looking to build an agile and adaptable data infrastructure to support multiple business domains
  • CTOs who want to align data engineering requirements with data, dev and business teams
  • Hands-on data engineers who want to see the bigger picture
Data mesh and open data lake architecture

Powering data lakes for data-intensive companies