MongoDB Production Features

MongoDB Production Features A user perspective: Blueskymetrics BSMSentimizer™ – Gus Segura We run more than one Big Data technology to support our production environment; MongoDB has been there with us from the start. Its just works! Our core use case is sentiment text analytics: product and service reviews – complaints and praises from customers. Our[…]

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[…]

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[…]

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[…]