Posts
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Build a modern data science platform: first steps - transition to cloud based compute
Many data science teams start out by using local desktop & on-premise tools to begin exploring data, building machine learning models and performing inference. In the first instance, this is convenient, as it offers a quick and simple method to get started. However, as data and computation demands grow, local compute is no longer sufficient and on-premise infrastructure lacks flexibility.
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Introduction to the Lakehouse architecture and Apache Iceberg
A data lakehouse architecture uses data lake table formats to bring data warehouse ease of use and query performance alongside the cost benefits of using a data lake for underlying storage.
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Automate provisioning and configuration of Amazon EC2 instances using Infrastructure as Code
Using AWS Systems Manager to securely run Ansible playbooks on Amazon EC2 instances.
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Welcome to nstarc blogs!
Welcome to the nstarc blogs! Here you will find a range of posts covering a variety of topics across data and technology.
