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 general area of application that may be found in practically every industry. The field of data engineering employs a significant number of data scientists. Data engineers provide access to … [Read more...] about The need for extensive data to make decisions more effectively and quickly
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How to Build Data Products Your Company Will Actually Use
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 takes to truly make decisions based on data. Teams have to be aligned about what data is used and how decisions are made. Data has to be accessible and available to the right … [Read more...] about How to Build Data Products Your Company Will Actually Use
Data Quality Management: 6 Stages For Scaling Data Reliability
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. And above all else it's a mindset and a lifestyle. You also have to sweat. At least a little bit. No technology, including data observability, can act as a slimming belt toning your data quality while you lay back and … [Read more...] about Data Quality Management: 6 Stages For Scaling Data Reliability
What Good Data Product Managers Do – And Why You Probably Need One
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 data mesh, or generally investing in their data stack. Increasingly, we are seeing data departments modernize their team structure with data product managers at the helm of such … [Read more...] about What Good Data Product Managers Do – And Why You Probably Need One
You Have More Data Quality Issues Than You Think: Here’s Why.
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 steps, but technology alone will not solve your data quality problem. Like any entropic system, data breaks. And as we've learned building solutions to curb the causes and downstream impact of … [Read more...] about You Have More Data Quality Issues Than You Think: Here’s Why.