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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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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Gema ParreƱo Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Furthermore, Microsoft has recognized him as Microsoft Azure MVP for the past eleven years.

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Demystifying MLOps: From Notebook to ML Application

Xebia

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azureā€. Foundational data technologies. Machine learning and AI require dataā€”specifically, labeled data for training models. AI and Data technologies in the cloud. AI and machine learning in the enterprise.

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Technology Trends for 2023

O'Reilly Media - Ideas

Year-over-year growth for software development topics Software architecture Software architecture is a very broad category that encompasses everything from design patterns (which we also saw under software development) to relatively trendy topics like serverless and event-driven architecture. That could be a big issue.

Trends 136
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The Good and the Bad of Apache Airflow Pipeline Orchestration

Altexsoft

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Source: Apache Airflow.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Source: Snowflake. BTW, we have an engaging video explaining how data engineering works. Well, almost serverless, to be exact.