Managing Schema Evolution in Data Lakes
In an ideal world, data would flow into our systems with a perfectly consistent structure.
Top Big Data Companies - Page 4
Building a Scalable Feature Store
In the world of machine learning, features are the raw material that models are built from.
Data Validation for Machine Learning
In the world of machine learning, a lot of attention is paid to a model's complexity, its architecture, and its performance metrics.
Strategies for Efficient Data Lakehouse Management
For years we were told the data lake was the answer. We poured every byte of information we had into its vast, accommodating depths, believing that unfettered access would unlock unprecedented insights. The reality was much messier. These lakes, without structure and governance, quickly turned into polluted, unusable data swamps.
The Role of Data Catalogs in Governance and Discoverability
In the early days of data, the world was small. A business might have had a handful of databases, each managed by a person you could walk over and talk to. If you needed to know where the official customer data was, you just asked "Mary," the database administrator. Mary was the human data catalog. She knew the history, the quirks, and the context of the data.
Taming Unstructured Data: Architectures for Video and Audio
For decades, the world of data was a neat and tidy place. We dealt with "structured data," information that fit perfectly into the clean rows and columns of a relational database. Customer names, sales figures, product inventories. It was predictable, manageable, and easy to query. That world is now a relic.
Building a Feature Store for Machine Learning Pipelines: Tips
In the world of machine learning, the model often gets all the glory. We celebrate the clever algorithms and the impressive accuracy scores. But any seasoned data scientist will tell you a different story. They'll tell you that the real secret to successful machine learning isn't the model, it's the features.
Cost Optimization Strategies for Cloud Data Warehouses
The cloud data warehouse has been a revolutionary force in the world of analytics. Platforms like Google BigQuery, Amazon Redshift, and Snowflake have given organizations of all sizes access to incredible analytical power, power that was once the exclusive domain of giant corporations with massive budgets. The cloud promised a pay as you go utopia.
