Tag: MarkLogic

A Prescription for Operational Data Integration
We’re  a few weeks into open enrollment 2016 and millions of Americans are shopping healthcare plans and finding affordable care through Healthcare.gov. MarkLogic is grateful to continue to play a crucial role in the success of Healthcare.gov – one of the healthcare world’s most ambitious operational data integration projects. The infographic below illustrates the immense data challenges that were successfully met by MarkLogic […]
Bill Fox November 24, 2015
‘Mainframe Brain Drain’ Provides New Opportunities for NoSQL
Mainframe computers first appeared half a century ago, and the “big irons” still store and process a significant amount of all Internet data. However, mainframes are showing their age and having trouble keeping up with the demands of a digital era. Besides being costly to operate, they also can’t easily move to the cloud, meaning […]
RDBMS Are A Mismatch For Modern App Development
Relational databases require ORM, which extracts the data away, tearing apart the data and adding more overhead in the process. This post is the last one in my series about “why RDBMS aren’t working” to handle today’s data challenges. The previous posts focused on the relational data model being a poor fit for today’s data, […]
Matt Allen November 20, 2015
TDWI Hadoop Readiness Assessment and Guide
Research organization TDWI recently published an online survey and assessment guide to help organizations determine how ready they are to adopt and implement Hadoop. In the past few years, the number of organizations using Hadoop—or contemplating using it—has grown astronomically. Each organization has common questions about whether they are really ready to implement Hadoop, and […]
Matt Allen November 16, 2015
Relational Databases Are Not Designed For Mixed Workloads
Relational databases are designed for either OLTP or OLAP workloads. You can’t use one database for both. Today, that limitation is no longer acceptable as IT struggles to keep pace with the speed of business. To recap, in previous posts I discussed two aspects of how relational databases have inflexible data models that are not […]
Matt Allen November 13, 2015

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