A Roadmap to Self-service Data Lakes in the Cloud

In this in-depth technical paper we will present the infrastructural challenges of working with big data streams, and how to tackle these challenges using a Streaming Data Platform that provides data management, processing and delivery as services – all within a data lake architecture that utilizes the scalability of cloud object storage. We will show how you can simplify the process of transforming streaming data into workable data, dramatically shortening time-to-value and increasing success rates for streaming data projects.


Thank you!

Thank you for downloading our whitepaper!


Get the Whitepaper

Get the free technical whitepaper to discover the shortest path from streaming to usable data:

  • Challenges and developments in Cloud Data Lakes
  • Architecture overview for managing, integrating and structuring streaming data with Upsolver
  • Building an agile data lake on Amazon S3 using Upsolver
  • Enabling real-time and ad-hoc data consumption
  • Case studies and reference architecture
  • Upsolver vs alternative architectures

Powering data lakes for data-intensive companies


All Templates

Explore our expert-made templates & start with the right one for you.