All Posts By

Matt Allen

Matt Allen is a Director of Product Marketing Manager responsible for marketing all the features and benefits of MarkLogic across all verticals. In this role, Matt interfaces with the product and engineering team and with sales and marketing to create content and events that educate and inspire adoption of the technology. Matt is based at MarkLogic headquarters in San Carlos, CA and in his free time he is an artist who specializes in large oil paintings.

Significantly reduce the cost and time associated with ETL by using a multi-model database that makes data integration faster and easier. Yes, you still harmonize data -- but only after you load it. See how companies are doing it!
Security is getting more and more critical. One recent report from PwC shows the number of security incidents in 2015 increased by 38% compared to 2014. And along with increased risk comes increased spending. According to a recent report by Gartner, worldwide security spending reached $76.9 billion in 2015, and is expected to reach $170 […]
MarkLogic 8.0-4 Now Available This type of release is not usually something I would write a blog post about—and technically, MarkLogic 8.0-4 is but another in the sequence of maintenance releases that round out the enormous leaps and bounds we made with the release of MarkLogic 8 last February. But we decided to pack a […]
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, […]
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 […]
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 […]
What is Semantics and why should you use it? In this infographic, we answer those questions and also provide an example of one of our customers using semantics to model complex relationships in their data. Please take a look, share it, and download the SNL 40 app to see semantics in action! View and Download […]
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