Remove integration amplitude
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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

AltexSoft

It has three key characteristics to be considered when analyzing audio data — time period, amplitude, and frequency. Amplitude is the sound intensity measured in decibels (dB) which we perceive as loudness. A waveform is a basic visual representations of an audio signal that reflects how an amplitude changes over time.

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Using Your Data Warehouse As The Source Of Truth For Customer Data With Hightouch

Data Engineering Podcast

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Monitor all your databases, cloud services, containers, and serverless functions in one place with Datadog’s 400+ vendor-backed integrations. Who are the target users of Hightouch?

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Closing The Loop On Event Data Collection With Iteratively

Data Engineering Podcast

What are the difficulties that you have faced in building integrations for the Iteratively workflow? What are the challenges that engineers face in building effective integration tests for their event schemas? What are the difficulties that you have faced in building integrations for the Iteratively workflow?

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How Shopify Is Building Their Production Data Warehouse Using DBT

Data Engineering Podcast

They explain how the structured the project to allow for multiple teams to collaborate in a scalable manner, the additional tooling that they added to address the edge cases that they have run into, and the optimizations that they baked into their continuous integration process to provide fast feedback and reduce costs.

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Snowpark Container Services: Securely Deploy and run Sophisticated Generative AI and full-stack apps in Snowflake

Snowflake

As with the rest of Snowpark, the code and logic can be accessed and integrated from any Snowflake experience. It leverages Snowflake’s powerful platform to enhance the experience of technical and business teams through our partners’ integrated services and applications that bring processing to the governed data.

Scala 60
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Is Modern Data Warehouse Architecture Broken? 

Monte Carlo

Not to mention, loading (the “L” in ELT) had become much easier to integrate in the cloud. An emphasis is placed on preventing data loss as well as ensuring data observability, integrity, usability, and lifecycle management. Along the way, popular transformation tools made transforming data in the warehouse easier than ever.

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An Exploration Of The Composable Customer Data Platform

Data Engineering Podcast

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools.

Data Lake 147