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From collaboration and dependencies to productivity, find out what are the top challenges that remote data team leaders face with agile. Raise your hand if you’ve ever planned a data project. 🤚 You, my friend, deserve a standing ovation. Because you know how difficult, complex and frustrating it can be. You have to: Work with your data engineers to extract…

Understand the DataOps principles, framework and learn how to implement DataOps within your organization Let’s start with a simple definition of DataOps (aka data operations). DataOps is a data management framework that borrows from the agile methodology, lean manufacturing and DevOps to democratize data, build trust and improve team collaboration. What is DataOps? Sounds quite straightforward, right? If only it were…

Discover how Atlan, a modern data catalog, helps in ensuring data quality Does this sound familiar? The Head of Sales asks for a report of gross sales in Q2 2019. Three months later, he asks for the same report and gets completely different numbers. Why is this happening? Is the new report incorrect? Or was it the original report? Or…

Learn what data silos are (definition); why they pose the biggest challenge to your big data strategy, pipelines and dreams; and how to break them down. First things first, if you’re searching for articles on the topic “data silos” and what they mean, congratulations—you’ve almost attained the state of self-realization.🧘🏽 Why? Because let’s face it—one of the biggest challenges facing…

Understand how you can meet the challenges of ensuring data quality and accuracy with a modern data dictionary. Raise your hand if this has happened to you too. ✋ An example of the challenges that business analysts face with data sets Or this one. An example of the challenges that data scientists face with data sets Often, the humans of…