Tue.May 31, 2022

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6 Things You Need To Know About Data Management And Why It Matters For Computer Vision

KDnuggets

This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

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How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills

Monte Carlo

This article is sourced based on the interview between Lior Solomon, (now the former) VP of Engineering, Data, at Vimeo with the co-founders of Firebolt on their Data Engineering Show podcast which took place August 18, 2021. Watch the full episode. Vimeo is a leading video hosting, sharing, and services platform provider. The 1,000+ company helps small, medium and enterprise businesses scale with the impact of video.

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Metadata Store for Production ML!

KDnuggets

Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

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5 minutes to configure Workflow Log in Apache Hop

know.bi

Workflow Log

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Building Spark Lineage For Data Lakes

Monte Carlo

When a data pipeline breaks, data engineers need to immediately understand where the rupture occurred and what has been impacted. Data downtime is costly. Without data lineage –a map of how assets are connected and data moves across its lifecycle–data engineers might as well conduct their incident triage and root cause analysis blindfolded. Field-level data lineage (not necessarily Spark lineage) with hundreds of connections between objects in upstream and downstream tables.