BIM-Analytics-Platform

Open Source BIM Analytics Platform. Accelerate AEC Through Data.

Agnostic, Scalable, and Agile

First Track tools and build database

Second build descriptive analytics (What happend?)

Functional Requirements

Allow users to change the interface and pick what data is shown
Have multiple options for viewing the data
monitor data | such as Revit warnings, large models, large amount of clashes
track data when users are not online
data security | an option to share the data

Non-Functional Requirements

Available 24/7
Web, Desktop, and Mobile Application
Simple to use

Tools to track / ever-increasing

Revit_log and journal files
- Revit Clinic Journal File Parser 2011 https://revitclinic.typepad.com/my_weblog/2011/11/journal-file-parser.html
- Visualizing Revit Journals https://insidethefactory.typepad.com/my_weblog/2012/02/visualizing-journals.html
- Revit Journal file %LOCALAPPDATA%\Autodesk\Revit\Autodesk Revit ####\Journals
- Revit Log file
Navisworks_log and clashes
Dynamo log file - checkout the data tracking tool Autodesk is using for Dynamo
- Dynamo log file C:\Users\%USERNAME%\AppData\Roaming\Dynamo\Dynamo Revit\2.5\Logs
Hypar
BIM360
AutoCAD
SketchUp
Enscape
- Enscape main plugin log files: C:\Users\%USERNAME%\AppData\Roaming\Enscape\Data\Logs
- Revit plugin log files: C:\Users\%USERNAME%\AppData\Local\Temp\Enscape\Logs\EnscapeRevitPlugin

Database

Requirements

Data integrity
Supported operations
Modeling relationships
Supported data types
Transaction support
Scalability
Redundancy
Schema flexibility
Performance
Integrations

HDFS

Characteristics

Files and directories
Distributed file system
Any type of file
Commodity hardware
Streaming access
Query support with Hive and Impala

Assessment

Strengths
- Linear scaling
- Redundancy
- Security
- High availability
Shortcomings
- No updates
- Limited querying
- Queries_very slow_bad for live dashboards
- Not for small data
Applications
- Raw dumps
- Media storage
- Data backups

Platforms

RDBMS - Oracle

Characteristics

Tables, rows, columns
Schema driven
SQL-based queries
Number crunching

Assessment

Strenths
- Transactions
- Speed
- Data integrity
- Security
Shortcomings
- Linear scaling
- Text/media
- Complex data types
- Cost
Applications
- Master data
- OLTP
- Update intensive data
- Data Warehouse

Other Platforms

Microsoft SQL Server
MySQL
MariaDB
PostgreSQL

Document Databases - MongoDB

Characteristics

JSON documents
Flexible structures
Document key
Indexing
Sharded clusters

Assessment

Strengths
- Complex data types
- Rich querying
- Full text search
- Scalability
Shortcomings
- No transactions
- No media storage
- Joins not optimal
- No attribute-based security
Applications
- Blogs
- Catalogs
- RDBMS alternative

Other Platforms

Elasticsearch
Couchbase

Research

Identify tools - APACHE tools?
- Apache logs parser with Python for absolute beginners | Projects https://www.youtube.com/watch?v=4DdueeIE8Rs&feature=youtu.be
Build ecosystems

"Without data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway." -Geoffrey Moore

"Without data your're just another person with an opinion" -W. Edwards Deming