Webinar: Go Faster How Clearsense Accelerated their Data Platform as a Service
LEARN THE KEY SUCCESS FACTORS FOR BUILDING A RAPID & SECURE DPaaS
Is controlling data a constant battle? Is managing static and streaming data from highly distributed endpoints making your data workflows cumbersome? Could DPaaS be the answer?
As businesses continue to focus on solving core business problems and shifting toward outcomes and value, data is the key to getting the entire organization in alignment.
Today, building an enterprise data platform to integrate diverse and emerging sources of data is mission-critical. For Clearsense, accelerating and democratizing data pipeline development without dramatically increasing cost was essential to scale. However, this required solving significant, complex data challenges including ingestion of raw client data from numerous real-time and batch orientated systems into a private cloud environment and quickly, making it available for a variety of clinical, operational, and financial apps and analytics.
Join the Clearsense team and learn how they partnered with Diyotta to build an end-to-end, industry-leading Data Platform-as-a-Service.
Here’s what you’ll learn.
- The top 3 challenges to building a Data Platform-as-a-Service
- How to simplify the complexities in modern data ecosystems
- Why data pipeline speed & dexterity matter
- Why starting from scratch is not a good idea
- How Diyotta is different from traditional data pipeline tools