A hands-on comparison of Flink and Kafka Streams, breaking down time handling, state, deployment, and scalability. Flink comes out on top for flexibility and long-term reliability.
LLMs boost productivity and reduce costs—but only when used strategically. Here's how to measure ROI across real business use cases.
Combining LLMs with a unified knowledge model allows natural language queries across structured and unstructured data—making complex questions simple.
From architecture to analytics—follow this practical guide to designing a scalable, SQL Server-based data warehouse using the Medallion Architecture.
Learn how to manage hybrid access to Iceberg tables, using IAM for writes and Lake Formation for fine-grained reads—without disrupting existing setups.
Detect suspicious transactions on the fly with Apache Flink, using stateful processing and event-time logic. Complete with Kafka integration and production tips.
Airflow’s biggest release yet—featuring DAG Versioning, Event-Driven Scheduling, a new UI, and support for multi-cloud task execution.
A practical, example-rich walkthrough of how LLMs are applied in daily workflows—perfect for both enthusiasts and builders.
In this hands-on session, learn how multimodal models break down complex tables and figures into question-ready chunks—boosting the quality of inputs for vector databases and RAG systems.
GenAI is full of potential—but building LLM apps can feel daunting. This hands-on workshop makes it practical, guiding you through Python-based LLM interaction, creating your first RAG, and building your first agent.
Understand how to enforce data quality in Apache Spark using Spark Expectations. This tutorial covers defining and applying various validation rules.
Discover dbt-sqlx, a GenAI-powered CLI tool that translates dbt models across SQL dialects, simplifying warehouse migrations and reducing manual rewrites.
Get practical advice on transitioning from SAS Viya to Snowflake and dbt. This guide covers handling true deletes, SAS-specific logic, and implementing robust testing practices.