Discover how to successfully handle collaboration, security, team morale and management for remote data teams Going 100% remote for data teams is #$%*ing hard and chaotic. Miscommunications can become commonplace. Productivity can be difficult to monitor. Remote team members (i.e. your people) can easily lose track of the big picture and feel isolated, disconnected or left out. That’s why so…
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. Sounds quite straightforward, right? If only it were that easy…
Understand data integrity, how it’s different from data quality and data security and discover how to maintain it in your organization. If you make decisions solely based on data, you cannot go wrong. Right? Wrong. Say what? <I can see that you’re cocking your head sideways like a dog when it’s confused.> Even if you follow the data, you can…
Learn what a data lake is (definition) and how to get the best value from it with a data catalog. Much like the term suggests, a data lake is literally a space full of data—free and unfiltered. Sounds peaceful right? Spoiler: You never know what lies beneath! 🔍 Just as a lake stores all the water that rushes into it, a…
Learn about the definition and meaning of metadata, including how to best manage it (spoiler: it has everything to do with a metadata catalog). Let’s get meta about meta—because context and perspective is everything. First things first, what is metadata? At the metalevel, the easiest way to understand metadata or its meaning is that it is simply information or data…
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 what data quality means and how data quality management can solve your bad data woes How is your data? If that very question makes you cringe, then you’ve come to the right place. No one wakes up in the morning thinking “Yay, I get to work with bad quality data today!” Sadly, that’s the way things are in many…
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…
First, if you’re a human of data – aka someone who works with data for a living – here’s your virtual medal. 🏅🏅🏅 Why? Because we know how frustrating it can be to manage data and all its appendages, from metadata to data lineage and beyond! Now we know we can’t wave a magic wand and wish it all away…