MarkLogic 9 introduces row-oriented views and the Optic API

AAEAAQAAAAAAAA1uAAAAJDVjMjMwYzFkLWM4OTgtNDY0My04YTc4LTQxNDc4MTI0M2E3MA

MarkLogic has always been adept at storing a variety of data types: XML, JSON, RDF, text, and binary. Its powerful search capabilities, rich APIs, and support for many kinds of data in a variety of languages have made it a flexible choice for addressing a wide range of technical challenges without the need for complex […]

Data Data Everywhere

dsc_0007

How NoSQL complements traditional relational databases I like working with traditional relational database management systems (RDBMS).  There is something elegant about good table design and the physical implementation of a database.  I like running SQL statements and looking at data along with figuring out how to get specific result sets.  I’m not sure why this […]

Purchase Transaction Alerting with Couchbase and Kafka

credit_card_scanner

During my experience with Couchbase, I have found a number of useful integration points to enhance its capabilities. One example is Apache Kafka. Kafka is a global commit log messaging service that has recently gained popularity as a distributed tool to provide a data transport layer to large systems. With Couchbase, as with any data […]

On Demand Recommendations with N1QL

N1QL example

Last month I posted a Market Basket Analysis example using Couchbase and Spark: Combining Operational and Analytical Big Data Using Couchbase and Spark: A Market Basket Analysis Example. I used Couchbase as an operational data store for market basket data, transported the data using the Couchbase Spark Connector, then did the MBA in Spark. It […]