Over the past decade, data teams have been simultaneously underwater and riding a wave. We’ve been building modern data stacks, migrating to Snowflake like our lives depended on it,... Read more »
If you don’t like change, data engineering is not for you. Little in this space has escaped reinvention. The most prominent, recent examples are Snowflake and Databricks disrupting the... Read more »
Why do data quality metrics matter? If you’re in data, you’re either currently working on a data quality project or you just wrapped one up. It’s the law of... Read more »
Data engineering is the leading branch of big data. If you want to pursue a data engineering career and wish to present your skills, then you are on the... Read more »
As part of my job, I’m fortunate enough to speak with data leaders far and wide about how they are tackling some of our industry’s biggest challenges, from implementing... Read more »
What exactly is data engineering? The process of planning and constructing infrastructures for the gathering, storage, and analysis of data is referred to as “data engineering.” This is a... Read more »
Across both public and private sectors, more organizations are adopting a “data-driven” mindset-or, at least, data-driven messaging. But in reality, most aren’t prepared for the reality of what it... Read more »
I like to think of data quality management within the context of physical fitness. You can get in shape with hard work, but staying in shape requires good habits.... Read more »
Atul Gupte co-authored this post. The companies we talk to are diligently building their data product or platform. This includes migrating to Snowflake, integrating with Databricks, moving towards a... Read more »
Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing, anomaly detection, and cataloging are important... Read more »
