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.
Computer engineering has come a long way from merely being a curriculum major to a key credential for your AI portfolio. Artificial engineering is a… Read More »AI Engineer: Learn About the Role and Skills Needed for Success In 2023
As this century progresses, businesses are discovering that the most incredible way to gain the best customer service is to know them deeply. With AI… Read More »Enriching Customer Service Using Sentiment Analysis
How to fix various data issues in a few simple steps? In this first part, I discuss missing, outdated and unobserved data, data that is… Read More »15 Data Issues and How to Fix Them
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
