Flow Analytics Crash Course - Part 1 - Learning the Environment


This will be the first entry in our crash course series on Flow. Over this series of blog posts I will provide an end-to-end guide to the Flow Computing Framework.

The course will be divided into a few sections:

  1. Introduction to the Flow Computing Framework / Learning the Environment / Basic Data Imports and Exports
  2. Data Point Actions
  3. Working Data Actions (Filtering, Deduplicating, Sampling Data, Joins, Slices, Appends, and others)
  4. Basic Data Summary and Exploratory Analysis Functions
  5. Generic Expressions and Data Point Computing
  6. HyperCube Computation and Multi-dimensional Analysis
  7. Introduction to Results / Dashboards
  8. Data Visualization, HyperCube Visualization, Multi-dimensional HyperCube Reporting
  9. Deployment to Autonomous Agents
  10. Variables / Loops / Jumps
  11. Data Acquisiton (Databases, RESTFul APIs, Social Sources, Web-based Sources, CRM systems)
  12. Workflow Control Functions, Agent Communication, and Agent Synchronization
  13. Agent-based Distributed Computing
  14. Artificial Intelligence and Cognitive Computing
  15. Machine Learning and Intelligent Agents
  16. Tesseract Distributed File System
  17. Putting It All Together

Each section will have it's own dedicated blog post which will describe the content of the section.

The objective of this crash-course series is not just to teach Flow but also to empower users to become great data analysts and data scientists. This course will teach you fundamentally new paradigms in data analytics, reporting, integration, and automation.

If you are currently a skilled data analyst / data scientist / business intelligence specialist - this course will teach you all kinds of new groundbreaking tricks not seen anywhere else.

If you are a beginner - this series will walk you through everything you need to solve real-world problems using the Flow Computing Framework.

This first section will cover an Introduction to the Flow Computing Framework. Topics covered in this section include:

  1. What is the Flow Computing Framework
  2. Learning the three environments (Flow Portal, Flow Cloud Connect, Flow Autonomous Agent Framework)
  3. Launching and Navigating Flow Cloud Connect
  4. Introduction to Workflow Actions and Design
  5. Introduction to Generic Data / Generic Objects
  6. Introduction to Generic Data Types
  7. Importing Common Data Sources (delimited files, excel workbooks, xml, access databases)

If you do not have a Flow account - register here. Flow Community is FREE for personal use.

After you finish this section, you will be ready to move on to Basic Data Point Actions.

Check out the first video in our series below: