Our work focuses on benchmarking multiple SQL-like big data technologies over Hadoop based distributed file system (HDFS) for Study Data Tabulation Model (SDTM) used in clinical trial databases for ...

From bi-directional syncs to visual semantic exploration, Sigma is building toward a unified modeling experience that brings clarity and control to every layer of the data stack.” ...

Identifying relationships among multiple datasets is an effective way to summarize information and has been growing in importance. In this paper, we propose a robust 3-step method for identifying the ...

What is data modeling and why is it so important for SQL programming? Data modeling is one of the core concepts in constructing an effective database. Academic databases define the architecture, ...

Identifying Beneficiaries of the AI Ecosystem — From Data Center to End User Joseph Sroka, CFA, is Chief Investment Officer at NovaPoint Capital LLC.

Let’s discuss about factors and best practices for data modeling. Data modeling with SQL is a kind of data strategy that associates business with data by introducing the databases, the internal data ...

The data science techniques developed in this research project can be used to identify metastable phases in materials—a task impossible to achieve using conventional structural analysis techniques.

In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.

When marketers can utilize intent data created from high-quality purchase intent signals, they can apply insights to improve performance across all GTM actions.