This article covers the top 7 alternatives to Apache Flink—GlassFlow, Spark, KsqlDB, Arroyo, RisingWave, Quix, and Bytewax—highlighting comparable stream processing features and solutions to Flink’s challenges.
An introduction to the Analytics Engineering Framework (AEF), a scalable approach to building data platforms on Google Cloud. AEF solves inefficiencies by focusing on platforms over pipelines and helps teams maintain robust data workflows.
Dzidas Martinaitis shares his approach to running practical data science projects, from defining problems to setting success metrics, which he has built from nine years of experience at Amazon and AWS.
In this blog post, you will learn what medallion architecture is, the characteristics of each layer of this pattern and how it differs from the classic data warehouse layers.
A step-by-step guide to deploying the Gemma 2 model with LoRA adapters on Google Kubernetes Engine, allowing flexible, high-performance language model inference on GCP.
Christian Hollinger shares the story of building ngrok’s data platform from scratch, covering the challenges and solutions for global-scale, real-time data processing.
Listen as industry experts discuss using a Center of Excellence model to drive AI and data strategies, with insights from Royal Caribbean and Ryder System leaders.
Learn how NVIDIA's NIM microservices optimize AI model deployment with cloud-native speed and efficiency, seamlessly integrating on-premise and cloud infrastructure.
Accidental read access to Delta tables in ADLSg2 is a common risk when working with ACLs and Databricks permissions. This guide identifies and fixes unintended access and ensures your data remains secure
Explore how North built an in-house scalable, real-time fraud detection system that replaced a third-party solution to better adapt to new fraud patterns. Join Ben Orkin, VP of Engineering - MLOps, for insights on North's technical decisions, business drivers, and the future of fraud detection innovation.