Watson machine learning within IBM Data Science Experience

Acknowledgments: This blog was written by Fehmina Merchant, Sivakumar Anne, and Aleksandr Petrov. Special thanks to John J. Thomas and Allen Kliethermes for their valuable inputs. (Note: This post showcases features that are currently in beta and may be subject to changes by general availability.) Machine learning is all about building algorithms and models that can learn...  Continue reading Watson machine learning within IBM Data Science Experience

Graph Databases: The right technology for the right time

The core components of traditional databases, such as tables and columns, obfuscate the natural relationships between data points. Users of these databases struggle with creating a meaningful entity relationship diagram – even though that’s how the data originated. The Need for a NoSQL Database When I was a developer in the 90’s working on IBM Lotus Notes,...  Continue reading Graph Databases: The right technology for the right time

Need a recommendation engine? Graph databases boost customer service with real-time insight

Whether your organization sells primarily to consumers or to businesses, it’s the strength of your customer relationships that makes all the difference. Increasingly, companies are realizing that building and maintaining those relationships requires more than a one-size-fits-all approach to customer service. Instead of thinking in terms of business-to-business (B2B) or business-to-consumer (B2C), the new paradigm is...  Continue reading Need a recommendation engine? Graph databases boost customer service with real-time insight

Detecting complex fraud in real time with Graph databases

As more and more businesses move to an increasingly online-focused operating model, they open up new attack vectors for fraudsters – and often struggle to put adequate fraud detection safeguards in place. In industries such as retail and advertising, where fraud has not been a major threat to offline operations in the past, developing effective online...  Continue reading Detecting complex fraud in real time with Graph databases

No more joins: An overview of Graph database query languages

Graph databases are rising in popularity among the ranks of NoSQL databases. They allow you to store data as entities (nodes) and relationship (edges), and allow you to query the data as a graph. Queries written against graph databases are closer to how the data is modeled than other query languages. A great advantage...  Continue reading No more joins: An overview of Graph database query languages
Searching for Search Webinar

[Webinar] Searching for Search: A guide for application developers

Imagine how frustrating it would be to purchase something from a web or mobile retail application that didn't have search functionality. Or how useless a real estate app would be if you couldn't filter out certain housing features. Would you even bother trying to search for a flight or a hotel if you had...  Continue reading [Webinar] Searching for Search: A guide for application developers

The hype and potential behind blockchain technologies

Recently a very influential technology analyst group released its annual Hype Cycle for Emerging Technologies. In this report you can find their perspective on where a variety of new-wave technologies are on their journey to mainstream adoption. If you're wondering where blockchain technologies appear on that hype cycle, I can tell you that...  Continue reading The hype and potential behind blockchain technologies

Apache CouchDB 2.0 is here!

This week, the Apache Software Foundation announced the long-awaited release of Apache® CouchDB™ 2.0, which brings vastly improved scalability, as well as performance and UI enhancements, to the open source JSON database. The new version enables CouchDB users to tap into the core clustering capabilities previously only accessible via the open source BigCouch project...  Continue reading Apache CouchDB 2.0 is here!

Drilling into analytics with NoSQL data stores

One question many app developers find themselves asking is, "OK, I have plenty of data from my application's users. Now how do I gain insight from my application's data?" Likely, much of the developer's dilemma here stems from the NoSQL data stores which support their web or mobile app, because NoSQL databases (like JSON...  Continue reading Drilling into analytics with NoSQL data stores

Navigating the world of modern data stores and NoSQL

Ever since the internet blew up the world of enterprise data and application silos in the mid-1990s, software engineers have been continuously challenged to integrate web solutions and platforms that were never meant to work together. Now 20 years later, those challenges are amplified by the expectations of an information-hungry world that demands ever-more...  Continue reading Navigating the world of modern data stores and NoSQL