Data Quality, Top 5 Don’ts!

Data Quality Things to avoid in your data quality efforts Data Quality – There are many definitions of data quality but data are generally considered high quality if “they are fit for their intended uses in operations, decision making and planning.” Talk about an arbitrary definition.  I have this conversation allot with new customers. It boils[…]

Advanced Analytics on the Edge

Advanced Edge Analytics with Javascript, MongoDB… Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Edge Analytics is a term normally[…]

Advanced Edge Analytics

Streaming Data – MongoDB, NodeJS, Robomongo

Streaming Data – Aggregate with MongoDB, NodeJS, Robomongo Do you want to learn more about NoSQL databases? The following is part II of my series on building fast apps with MongoDB, NodeJS and Robomongo (great MongoDB tools).  Part I – Installation is about getting and installing the tools along with a simple primer on how[…]

Building with MongoDB – NodeJS – Robomongo

Getting Started… with MongoDB, NodeJS, Robomongo Do you want to learn more about NoSQL databases. The following is a two-part series on building fast apps with MongoDB, NodeJS and Robomongo (great MongoDB tools).  The first part is about getting and installing the tools along with a simple primer on how to build a simple mongodb[…]

AWS DW, Aggregations, Default Filters – IIIB

Aggregations, Filters – AWS Data Warehouse, Part III-A The following post is a list of considerations when developing an AWS Data Warehouse solution.  Use it as a good starting point for discussions with architects, project management and stake-holders. There are many times when starting a new data warehouse project and you’re not quite sure what should[…]

AWS DW, Data Sets, Data Model – IIIA

  Data Sets, Data Model – AWS Data Warehouse, Part III-A The following post is a list of considerations when developing an AWS Data Warehouse solution.  Use it as a good starting point for discussions with architects, project management and stake-holders. There are many times when starting a new data warehouse project and you’re not quite[…]

Project Management – AWS Data Warehouse – II

  Project Management – AWS Data Warehouse – II The following post is a list of considerations when developing an AWS Data Warehouse solution.  Use it as a good starting point for discussions with architects, project management and stake-holders. There are many times when starting a new data warehouse project and you’re not quite sure what should[…]

Considerations, AWS Data Warehouse, Part I

Considerations – AWS Data Warehouse, Part I The following post is a list of considerations when developing an AWS Data Warehouse solution.  Use it as a good starting point for discussions with architects, project management and stake-holders. There are many times when starting a new data warehouse project and you’re not quite sure what should[…]

Use Python to Clean Your Text Stream

Ok, Potty Mouth. Your Time is Up! .. Maybe Not? In this post, I’m going to show you a decent Python Function (Lib) you can use to clean your text stream. Thoughts: We do “Allot” of Sentiment Analytics and use several methods, libs and use cases.  There are times when you’ll be asked to remove the[…]

Use Tableau Public for Rapid Visualization

* TIP MOBILE USERS * : “Landscape View Best for Visualization” Go Ahead, Use Tableau Public, It won’t bite. We use Tableau public for rapid visualization and prototyping. I going over my Top 5 reasons to use Tableau Public for Rapid Visualization. [Please contact Tableau Sales for information on all the versions that are available].[…]