James D. Miller

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James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data.

His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc.

He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others.

Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.

Books from James D. Miller

  1. Statistics for Data Science
    Get your statistics basics right before diving into the world of data science
  2. Mastering Splunk
    Optimize your machine-generated data effectively by developing advanced analytics with Splunk
  3. Mastering Predictive Analytics with R - Second Edition
    Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts
  4. Learning IBM Watson Analytics
    Make the most advanced predictive analytical processes easy using Watson Analytics with this easy-to-follow practical guide
  5. Implementing Splunk - Second Edition
    A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2
  6. IBM Watson Projects
    Incorporate intelligence to your data-driven business insights and high accuracy business solutions
  7. IBM Cognos TM1 Developer's Certification guide
    Preparing for your COG-310 certification is more engaging and enjoyable with this tutorial because it takes a hands-on approach and teaches through examples. There are also self-test sections for each exam topic.
  8. Big Data Visualization
    Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization
  9. Statistics for Data Science [Video]
    Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
  10. Implementing Splunk 7 - Third Edition
    A comprehensive guide to making machine data accessible across the organization using advanced dashboards
  11. Improving Your Splunk Skills
    Transform machine-generated data into valuable business insights using the powers of Splunk
  12. Mastering Splunk 8
    Perform advanced manipulation and analytical tasks to gain insights from machine data