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 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[…]

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[…]