Systems | Development | Analytics | API | Testing

Vibe Coding to Production: Building AI Apps That Actually Scale

Now that AI coding tools have put development capabilities into more hands, prototypes are becoming business-critical applications almost overnight. Shanea Leven sees an opportunity for a new generation of builders, provided the infrastructure around their applications keeps pace. Shanea explains how organizations can give developers and new technical employees room to build while maintaining the standards required for enterprise software..

Fivetran vs Talend: Detailed Comparison (2026)

Fivetran vs Talend in 2026: Which ETL Tool Is Better? Fivetran and Talend follow different approaches to data integration. Fivetran focuses on managed, warehouse-first ELT with automatic connector maintenance and schema handling. Talend supports ETL, ELT, data quality, governance, APIs and hybrid deployment across cloud and on-premises environments.

Demo: Flink Table API, User-Defined Functions (UDFs), Process Table Functions (PTFs)

Fully managed Confluent Cloud for Apache Flink combines Flink SQL for data engineers with programmatic capabilities like the Table API, User-Defined Functions (UDFs), and Process Table Functions (PTFs) for developers. You can build mission-critical use cases with programmatic capabilities while using familiar dbt- and SQL-based workflows.

Demo: Real-Time Forecasting with IBM Granite Time Series Models, Apache Flink, and Apache Kafka

Perform robust real-time forecasting on your Kafka data streams using IBM Granite Time Series models TTM, FlowState, PatchTST-FM right in Flink. Get started easily with zero-config, model flexibility, and lower cost in fully managed Confluent Cloud.

Demo: Real-time anomaly detection and forecasting, Real-Time Context Engine for AI agents, and more

What's new in Q3'26: Real-time anomaly detection and forecasting with IBM Granite Time Series models and Google TimesFM model, upserts for Real-Time Context Engine to maintain fresh context for AI, and lightning queries to instantly serve the current state of the business for operational apps, analytics, and more.

Snowflake RBAC: How to Manage Who Accesses What in Your Pipelines

Your data engineer just accidentally deleted the production customer table. Again. This scenario plays out in organizations worldwide, not because of malicious intent, but because of poorly configured access controls. With data breaches and compliance violations, managing who can access what in your Snowflake data warehouse isn't optional: it's essential.