Enterprise Data Warehouse · High Speed Data Pipeline · Machine Learning Solutions [Contact Us]
Big Data Analytics
Distributed Platform Architecture (Cloud, On-Premise) · Data Science · Software Development [Contact Us]
EDW Cloud Migration, Architecture, ETL (RealTime, Batch), Star Schema, Cubes, SQL – NoSQL, Big Data, etc.
ERD, Data Dictionary, Facts, Dimensions, Hierarchies, Keys, Relationships, Doc-JSON, UnStructured, Graph, IOT, etc.
Forecasting, Classifiers, Segmentation, Sentiment, OpIntel, Clustering, Deep Learning. TensorFlow, R, Py
Realtime, Batch, ETL, Pipeline, Spark, Kafka, IOT, MQTT, ELK, Splunk, Spring Rest API, DevOps, Jenkins, Release, etc.
We are technology focused and have a long record of successfully delivering quality, feature and value to our customers. We build, deploy, manage and secure complex distributed architectures at world scale. This include Docker, Kubernetes, Mesos, DCOS and More...
Latest Blog Post
Blog Posts, Study Results and Interesting Articles [Contact Us]
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. If you’re starting a[…]
Enterprise Data Catalog A Data Catalog Can Improve Productivity: Gus Segura The database catalog of a database instance consists of metadata in which definitions of database objects such as data lake source interfaces, source files, base tables, views (virtual tables), synonyms, value ranges, indexes, users, and user groups are stored – or- “An Enterprise metadata catalog is a set of relational tables that contain information about how[…]
Text Sentiment Analytics Architecture, Data – Pipeline, Analytics: Gus Segura Text and Sentiment Analytics are becoming a more important data set in the corporate enterprise. The metrics and analysis are helping drive the customer journey. We use this information daily to create and enhance the customer experience through personalization and responding to customer feedback. I[…]
IOT Plant Floor Sample Architecture Architecture overview IOT Device – Analytics: Gus Segura There is more than on way to implement IOT analytics for the Plant Floor. For me, its all about guaranteed message delivery (from the IOT Device), micro-services vs monolithic architecture and edge analytics (de-coupled from the cloud). You have a choice on[…]
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[…]
Sentiment Analytics Sentiment Analytics as it relates to speech, text and language – is the practice of attempting to understand the “emotional response” around a topic (person, place, thing, product, service, etc.). I’ve been working in this area for over 10+ years. My fist systems were interactive voice response systems where folks would leave a[…]
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 – 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[…]
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 – 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[…]
Contact US - Questions
email: email@example.com | 765.325.8373
Text "Info" to 765.325.8373 -Or- Submit Request Below Today