Category: AWS Lake Formation

With the rapid growth in data coming from data platforms and applications, and the continuous improvements in state-of-the-art machine learning algorithms, data are becoming key assets for companies. Modern data architectures include data mesh—a recent style that represents a paradigm shift, in which data is treated as a product and data architectures are designed around […]

This post was co-wrtiten with Jonathan Hwang, head of Foundation Data Analytics at Zendesk. In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share […]

This post was co-written by Hendrik Schoeneberg, Sr. Global Big Data Architect, The An Binh Nguyen, Product Owner for Cloud Simulation at Continental, Autonomous Mobility – Engineering Platform, Rumeshkrishnan Mohan, Global Big Data Architect, and Junjie Tang, Principal Consultant at AWS Professional Services. AV/ADAS simulations processing large-scale field sensor data such as radar, lidar, and […]

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Many organizations are modernizing their applications to reduce costs and become more efficient. They must adapt to modern application requirements that provide 24×7 global access. The ability to scale up or down quickly to meet demand and process a large volume of data is critical. This is challenging while maintaining strict performance and availability. For […]

As the volume of customers’ data grows, companies are realizing the benefits that data has for their business. Amazon Web Services (AWS) offers many database and analytics services, which give companies the ability to build complex data management workloads. At the same time, these services can reduce the operational overhead compared to traditional operations. Using […]