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Simplifying Data Integration Through Eventual Connectivity

Data Engineering Podcast

If you are struggling to maintain a tangle of data pipelines then you might find some new ideas for reducing your workload. What is eventual connectivity and how does it address the problems with ETL in the current data landscape? How much up-front modeling is necessary to make this a viable approach to data integration?

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Unpacking The Seven Principles Of Modern Data Pipelines

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. 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.

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Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

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Setting The Stage For The Next Chapter Of The Cassandra Database

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Database 100
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Exploring The Insights And Impact Of Dan Delorey's Distinguished Career In Data

Data Engineering Podcast

Summary Dan Delorey helped to build the core technologies of Google’s cloud data services for many years before embarking on his latest adventure as the VP of Data at SoFi. Can you start by sharing what your current relationship to the data ecosystem is and the cliffs-notes version of how you ended up there?

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Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. To be a truly data-driven organization, it’s important to govern all of the above.

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Insurance Organizations Depend on the Quality of Their Data

Precisely

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The top quartile, in contrast, reported better results, which were supported by better processes and technology.