article thumbnail

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Mining?

article thumbnail

Training the Next Generation of Data Leaders: The Data Intelligence Project

Alation

This course called on the students to utilize the catalog to find and query sample data, and then to publish results into articles on the site. For the course, ‘Big Data and Society’, we loaded publicly available COVID-19 data into the catalog for student use and investigation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 10 Key Features of BI Tools in 2020

FineReport

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Analytics dashboards.

article thumbnail

How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

Prior to joining AWS, Dave spent 17 years in life sciences companies doing IT and informatics for research, development, and clinical manufacturing groups. He’s passionate about building with serverless technologies, machine learning, and accelerating his AWS customers’ business success.

article thumbnail

Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Big Data Hub

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project.