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 Read more about MongoDB Production Features[…]
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 Read more about Sentiment 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 Read more about Big Data Advanced Analytics[…]
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 Read more about Streaming Data – 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 Read more about Building with MongoDB – NodeJS – Robomongo[…]
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 Read more about AWS DW, Aggregations, Default Filters – IIIB[…]
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 Read more about AWS DW, Data Sets, Data Model – IIIA[…]
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 Read more about Project Management – AWS Data Warehouse – II[…]
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 Read more about Considerations, AWS Data Warehouse, Part I[…]
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 Read more about Use Python to Clean Your Text Stream[…]