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Strategies And Tactics For A Successful Master Data Management Implementation

Data Engineering Podcast

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

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Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

In this episode field CTO Manjot Singh shares his experiences as an early user of MySQL and MariaDB and explains how the suite of products being built on top of the open source foundation address the growing needs for advanced storage and analytical capabilities. In fact, while only 3.5% That’s where our friends at Ascend.io

Database 100
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Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

In this episode she shares the story behind the project, the details of how it is implemented, and how you can use it for your own data projects. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. In fact, while only 3.5%

MongoDB 130
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Discover And De-Clutter Your Unstructured Data With Aparavi

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. In fact, while only 3.5%

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Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

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. In fact, while only 3.5%

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Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Data Engineering Podcast

It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts. To help simplify the adoption and management of dbt projects Nandam Karthik helped create Optimus.

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An Exploration Of The Open Data Lakehouse And Dremio's Contribution To The Ecosystem

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. In fact, while only 3.5%

Data Lake 100