Remove Data Engineering Remove Engineering Management Remove Open Source Remove Serverless
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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand . :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 85
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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

With Snowflake, multiple data workloads can scale independently from one another, serving well for data warehousing, data lakes , data science, data sharing, and data engineering. BTW, we have an engaging video explaining how data engineering works. Zero management.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

This leads to endless meetings where engineering management get involved to discuss what's to be built, how to break up dependencies in manageable chunks and delegate them to various teams. Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering.