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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. Developed in 2012 and officially launched in 2014, Snowflake is a cloud-based data platform provided as a SaaS (Software-as-a-Service) solution with a completely new SQL query engine.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model. It is one of the ways you can organise your engineering teams in a retail environment.