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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. That can also be a risk when the community vision for the project doesn't align with your own goals.

Database 162
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Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary

Data Engineering Podcast

Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are numerous products available to provide that visibility, they all have different technologies and workflows that they focus on. How is Elementary designed/implemented?

Project 130
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Top 10 Trending Courses in Information Technology 2023

Knowledge Hut

The best part to jump on the bandwagon of information technology or IT is, there is an enormous possibility for an individual if he or she starts studying for a diploma or a degree, does either a master's degree or a research course. He or she can get a full-fledged engineering degree. You can learn CCNA, CCNP and more from CISCO academy.

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Unlocking Your dbt Projects With Practical Advice For Practitioners

Data Engineering Podcast

Summary The dbt project has become overwhelmingly popular across analytics and data engineering teams. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects.

Project 147
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Master Data Management: Common Misconceptions You Should Know

Precisely

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.

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How to Power Successful AI Projects with Trusted Data

Precisely

However, achieving success in AI projects isn’t just about deploying advanced algorithms or machine learning models. The real challenge lies in ensuring that the data powering your projects is AI-ready. Above all, you must remember that trusted AI starts with trusted data.

Project 75