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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. This year’s entries presented an impressively diverse set of use cases. SignalFlare.ai

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Data Engineering Weekly #214

Data Engineering Weekly

One thing that stands out to me is As AI-driven data workflows increase in scale and become more complex, modern data stack tools such as drag-and-drop ETL solutions are too brittle, expensive, and inefficient for dealing with the higher volume and scale of pipeline and orchestration approaches.

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Gearing Up for Gartner Data & Analytics Summit 2025

Monte Carlo

Key Themes Data-Driven Decision-Making : Learn how to build a data-centric culture that drives better outcomes. Build Valuable Connections : Network with peers, analysts, and data visionaries who can offer fresh perspectives and collaborations. Build trust across domains : Set and uphold data SLAs. Register here.

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Data Engineering Weekly #161

Data Engineering Weekly

There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?

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Data Pipelines in the Healthcare Industry

DareData

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

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How a Fortune500 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Curious how a Fortune500 company manages data quality across a family of distributed brands—each with its own products and pipelines?

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How a Fortune100 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Curious how a Fortune100 company manages data quality across a family of distributed brands—each with its own products and pipelines?