Remove saas-terms
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Datapreneurs - How Todays Business Leaders Are Using Data To Define The Future

Data Engineering Podcast

RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. What do you see as the short/medium/long-term impact of AI on the technical, business, and societal arenas?

SQL 130
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Building ETL Pipelines With Generative AI

Data Engineering Podcast

RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. What kind of impact are you seeing in terms of time spent/quality of output/etc.? Rudderstack : ![Rudderstack]([link] Rudderstack : ![Rudderstack]([link]

Building 162
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Data News — Week 23.04

Christophe Blefari

In term of data modeling ThoughtSpot wrote about the best data modeling methods and Chad—the pope of Data Contracts—wrote about data contracts for the warehouse , mainly it shift the responsibilities to data producers in order to enforce schema and semantic, but in the data world it is sometimes rather an utopia.

Data 130
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What is the metrics store

Christophe Blefari

Transform is a company that has been founded by ex-Airbnb employees—which is important here—that proposes an open-source metrics framework and a SaaS metrics store. While, you should already be aware about what's dbt, there are still unknowns about what's Transform. Which is only 10% of dbt Labs actual workforce.

BI 100
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Data Observability Out Of The Box With Metaplane

Data Engineering Podcast

In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices. Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads?

BI 100
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What Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?

Data Engineering Podcast

The term MLOps has been coined to encapsulate all of these principles and the broader data community is working to establish a set of best practices and useful guidelines for streamlining adoption. Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.