Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

Lack of an ability or solution (MarkLogic) to integrating different sources of siloed data in real-time will make it impossible for retailers to execute on Omnichannel, personalization, real-time promotions, or dealing with locational and weather issues.
Why is Oracle ignoring the pain that so many organizations are going through? MarkLogic ends up finishing so many projects that couldn't be completed on relational because of its clear understanding of data challenges.
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, […]
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 […]
Relational databases are designed to run on a single server in order to maintain the integrity of the table mappings and avoid the problems of distributed computing. We’re at a tipping point with data volume. In my last post, I showed the stat from EMC about how the digital universe is expected to grow from […]
Relational databases have resulted in accidental complexity that keeps most organizations spinning in circles. Organizations simply cannot keep up with the many shapes, sizes, and types data that are quickly growing in volume and changing. In the previous post, I discussed why today’s dynamic, constantly changing data is a problem for relational databases. In this […]
Today, change occurs frequently, and data modeling is a huge challenge because of the time and resources that relational databases require. Unfortunately, when using a relational database, even a simple change like adding or replacing a column in a table might be a million dollar task. From CIOs to developers, everyone is realizing that relational […]
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