Published inTowards Data Science·Sep 20, 2021The New Generation Data LakeThe petabyte architecture you cannot afford to miss! — The volumes of data used for Machine Learning projects are relentlessly growing. Data scientists and data engineers have turned to Data Lakes to store vast volumes of data and find meaningful insights. Data Lake architectures have evolved over the years to massively scale to hundreds of terabytes with acceptable read/write…Modern Data Stack7 min readModern Data Stack7 min read
Published inTowards Data Science·Jul 14, 2021Artificial Intelligence Projects Can Benefit From The Multi-CloudWhy organizations should consider a multi-cloud strategy for their AI/ ML projects and how to make it happen — As organizations migrate their Artificial Intelligence (AI) solutions to the cloud, others have already embarked on AI or Machine Learning (ML) multi-cloud strategies. There are significant advantages to adopting a multi-cloud strategy — using several public cloud providers to manage your infrastructure and applications — from driving AI-driven business solutions…Multi Cloud6 min readMulti Cloud6 min read
May 18, 2021How To Choose The Right Data Storage Strategy for AIIs it just about Data Warehouses or Data Lakes? A lot has been written about Data Warehouses and Data Lakes, and which approach is better for data scientists to build, learn, test and deploy their Artificial Intelligence (AI) and Machine Learning (ML) algorithms. …AI7 min readAI7 min read
