According to research firm Gartner, at least 75% of large and global organizations will implement a multicloud-capable hybrid integration platform by 2021. As businesses continue to embrace digital transformation, moving toward self service analytics and cloud analytics executed on big data, a more agile solution for these workloads is needed. StreamSets applies DevOps practices to data management and data integration to reduce the cycle time of data analytics with a focus on automation, collaboration and monitoring. DataOps is essential for a data landscape marked by complexity of data architecture with accelerating change.
Read more >
Join StreamSets Head of Product Management, Kirit Basu, and Head of Product Marketing, Clarke Patterson as they discuss how StreamSets customers are taking a DataOps approach to hybrid-cloud integration.
We'll explore how Fortune 500 customers are using StreamSets to streamline Apache Kafka and Data Lake projects using principles adopted from DevOps.
This session will cover:
- Pitfalls to avoid for any hybrid cloud project
- Key requirements to ensure continuous movement of data across any cloud
- How StreamSets customers are using the platform to streamline their approach to analytics and data lake projects, while driving real value from DataOps