Deep Learning Healthcare

Deep Learning in Healthcare Machine Learning has been used in Healthcare for some time now. Today, Deep Learning can be used to help Physicians diagnose injury and ailments.  There are many different types of technology working together to enable deep learning.  This includes imaging sytems, scanners, iot devices, big data storage and much more.  Its[…]

Data Engineering DevOps

Data Engineering DevOps – It’s Different… DevOps is the combination of Development and Operations in an Agile environment or “DevOps is the practice of operations and development engineers participating together in the entire service lifecycle, from design through the development process to production support.” I think its slightly different for Data Engineering and the data pipeline tasks related[…]

R Arima Time Series to Tableau

ARIMA R Model – Tableau Visual Time Series Analysis and Forecasting has come a long way in the last few years.  Today, We do time series analysis to forecast customer demand, future sales, inventory levels and much more.  Building accurate models has become much easier and its actually fun now. I recently reviewed an on-line[…]

Microservice Horizons 2017

Microservice – DevOps Horizons 2017 2016 was an exciting year for Architecture, DevOps, Testing and Continuous Integrations for those implementing “Container Orchestration” and Microservice Architectures.  DevOps – Testing – CI have found they’re feet in most enterprises.  Companies are implementing application decoupling at an astounding rate. Multiple release per day are becoming common place.  Folks[…]

Top 5 IOT Device Types

Top 5 IOT Edge Device Types The number of IOT Devices is growing every day. Its seems like everyone is offering a “connected device” and App. These devices range from interesting, inventive and innovative to strange [ maybe for now ]. The following is my Top 5 IOT Edge Device types. This is for the year 2016.  Next[…]

Top 5 Cloud Migration Tips

Top 5 Cloud Migration Tips  Migrating to the Cloud can be daunting, complex and time consuming.  The first few migrations may be tough. However, If you plan correctly and have prepared adequately then you will likely have a successful migration.  This post is for anyone considering migrating or implementing cloud technology. I’m Gus Segura, Director – Principal[…]

AWS Data Warehouse Migration

Overview: General Guidelines, considerations for Migrating your existing enterprise data warehouse to Amazon AWS services and a story from www.Blueskymetrics.com. When I was little, My older brother would buy me an ice cream cone and tell me to just eat the top part with the ice cream and caramel. He would relieve me of the[…]

Big Data Advanced Analytics

Big Data Advanced Analytics The selection of technologies available today to get work done is awesome! Literally… Let’s take a moment and talk about two interesting use-cases for Big Data: IOT Device Messaging and Text Sentiment Aggregation.  We going to examine both use cases in detail and talk about the similarities.  Finally, we’re going to touch[…]

Data Driven Analytics

Data Driven Analytics … Are you Business Intelligent? Are you making better decisions based on the data you’re collecting for your business?  Are you using data to re-enforce what you already knew about your choices? Are you able to predict change accurately with data?  Well, Then you’re probably using Data Driven Analysis and Business Intelligence.[…]

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[…]