DIS26: Data Engineering & DataOps Stage @Hyperight
DIS26: Data Engineering & DataOps Stage  @Hyperight
Uploaded May 2026 | Updated September 2026, 2 weeks ago
Data Engineering & DataOps Summit 2026 (Part of the Data Innovation Summit 2026 | 6-8 May · Kistamässan, Stockholm)

This track is built for data engineers, platform architects, DevOps teams, and infrastructure leads who want to learn how to design, build, and operate scalable, resilient, and automated data pipelines that power AI and analytics at scale.

Takeaways:
🔹 Build Resilient, Real-Time Data Pipelines - Design streaming and batch pipelines that are fault-tolerant, scalable, and cloud-ready
🔹 Automate and Operationalize with DataOps - Apply CI/CD to data workflows, versioning, testing, and robust observability
🔹 Enable AI with Scalable Infrastructure - Build enterprise-ready platforms that support GenAI, ML pipelines, and analytics
🔹 Manage Metadata, Lineage & Transparency - Ensure data quality, traceability, and control across complex ecosystems

Follow us on:
⬗ LinkedIn: linkedin.com/showcase
⬗ Twitter: https://x.com/DISummit2030
⬗ Facebook: facebook.com/DataInnovationSummit
⬗ Instagram: instagram.com/datainnovationsummit
⬗ Hashtags: #DISummit2030 #DIS2026x1
DIS26: Data Engineering & DataOps StageData Innovation Summit 2026Trust Your Data? Why Context is King - Deniz Minican, H&M
Hyperight AB |

DIS26: Data Engineering & DataOps Stage

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER