Three projects - Apache Iceberg, Apache Hudi, and Delta Lake - are now at the center of all the attention and vendor chess moves in this space.

This session will explore the architecture, capabilities, and real-world impact of cloud-based reconciliation systems, showcasing industry benchmarks and success stories.

Attendees will walk away with scalable data transformation strategies and insights on optimizing BI pipelines to support fast decision-making in a growing business.

Designed for financial leaders, cloud architects, and technical decision-makers, this session provides practical strategies to streamline financial operations, improve real-time accuracy, and build resilient automation workflows.

This session will cover architectural decisions, implementation challenges, and key learnings valuable for teams building large-scale data platforms.

One of the most overlooked topics is data efficiency: how much data do we move around?

Should you keep your data in the Fabric Lakehouse or the Warehouse? What are the pros and cons?

In this case study, we'll explore how DataGOL.ai successfully onboarded an enterprise client with complex data requirements. We'll detail our technical approach using Airbyte under the hood for data integration, scaling data ingestion, transformation, and analytics pipelines.

Artificial Intelligence (AI) is fundamentally transforming the field of business intelligence (BI), reshaping how data professionals interact with and interpret data.

This session provides a step-by-step guide to setting up a data infrastructure for an e-commerce company using open-source tools on AWS EC2 instances.

This talk explores how Mappings simplify data integration workflows, reduce the need for custom transformation logic, and improve pipeline reliability.

In this talk, I’ll walk through how we built an end-to-end analytics pipeline using open-source tools ( Airbyte, dbt, Airflow, and Metabase).

This talk draws from real-world experiences managing Netflix's data infrastructure to reveal critical patterns and antipatterns in building resilient data systems.

This talk addresses the challenge of enabling intracompany data use and provides several applied strategies to democratize data in an R&D organization.

This talk will showcase how these features simplify connector development, improve security, and streamline API interaction

Join us to learn how following your data's breadcrumbs (Data Lineage) can transform your team's efficiency and data reliability!

This session explores the use of SQL based data pipelines, in the public cloud setting.