Archive for the ‘Data’ Category

What are the major differences between Python and R for data science?

November 30th, 2020 Comments off

Good post by DataCamp on in answer to the question: “What are the major differences between Python and R for data science?”

In Information Technology and Management we believe they are both important—that’s why we teach both, and teach them together.

NIST Big Data interoperability Framework

February 12th, 2020 Comments off

Most of us are familiar with the huge quantity of cybersecurity publications from the National Institute for Standards and Technology, but they have a standardization role that reaches far beyond security. A prime example that many of us might find useful is the NIST Big Data interoperability Framework (NBDIF). Built as a vendor-neutral, technology- and infrastructure-independent ecosystem; it can enable Big Data stakeholders (e.g. data scientists, researchers, etc.) to utilize the best available analytics tools to process and derive knowledge through the use of standard interfaces between swappable architectural components. It is a series of 10 NIST Special Publications:

NBDIF V3.0 Final Version

  1. NIST SP 1500-1r2  -- Volume 1: Definitions
  2. NIST SP 1500-2r2  -- Volume 2: Taxonomies
  3. NIST SP 1500-3r2  -- Volume 3: Use Case & Requirements
  4. NIST SP 1500-4r2  -- Volume 4: Security and Privacy
  5. NIST SP 1500-5    -- Volume 5: Architectures White Paper Survey
  6. NIST SP 1500-6r2  -- Volume 6: Reference Architecture
  7. NIST SP 1500-7r2  -- Volume 7: Standards Roadmap
  8. NIST SP 1500-9r1  -- Volume 8: Reference Architecture Interface
  9. NIST SP 1500-10r1 -- Volume 9: Modernization and Adoption

All found at And as always with everything from NIST (since our tax dollars paid for this), it’s free.