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Managing Uber’s Data Workflows at Scale

Uber Engineering

At Uber’s scale, thousands of microservices serve millions of rides and deliveries a day, generating more than a hundred petabytes of raw data. Internally, engineering and data teams across the company leverage this data to improve the Uber experience.

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New Fivetran connector streamlines data workflows for real-time insights

ThoughtSpot

The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools.

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Introducing WorkflowGuard: The Workflow Governance and Observability System That Oversees over 120,000 Data Workflows

Uber Engineering

Our Data Workflow Platform team introduces WorkflowGuard: a new service to govern executions, prioritize resources, and manage life cycle for repetitive data jobs. Check out how it improved workflow reliability and cost efficiency while bringing more observability to users.

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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Building 278
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Utilizing Pandas AI for Data Analysis

KDnuggets

Bring the latest AI implementation to Pandas to improve your data workflow.

Utilities 158
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5 Hidden Gem Python Libraries for Data Science

KDnuggets

Exploring the not-so-famous data science libraries that can be useful in your data workflow.

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Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Data Lake 162