This rubric covers databases from SQL workhorses to the latest in graph computing. Because DSC focuses on computation and modeling, the rubric does not deal as much with traditional data management issues, but it does explore database systems (SQL and no-SQL) that are heavily used within data science or analytic circles.
Last week, Databricks open sourced all of Delta Lake (Delta Lake 2.0) to the Linux Foundation. There is also a new release of MLflow (MLflow… Read More »Databricks open sourcing delta lake is good news for AI
Data management agility has become of key importance to organizations as the amount and complexity of data continues to increase, along with the desire to… Read More »The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs
While data compliance is the practice of organizations ensuring that all sensitive data is managed and organized in a way that enables them to meet… Read More »Benefits of Data Governance and Compliance
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
