Database management system (DBMS) architecture, design and strategy News
February 03, 2016
Attention's been placed on Spark running on Hadoop, but there are Spark connectors for NoSQL that usher in a new class of operational analytics.
January 14, 2016
MapR's Hadoop distribution will add a message system to feed a streaming data pipeline. It takes a cue from open-source Kafka technology.
December 21, 2015
In a Q&A, big data and data science expert Kirk Borne discusses new data processing and analytics technologies and the growing importance of data literacy in organizations.
November 20, 2015
At Oracle OpenWorld 2015, Oracle continued to demonstrate its focus on the cloud, with execs claiming superiority over rival cloud vendors. Access our full coverage in this guide.
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A JDBC driver (Java Database Connectivity driver) is a small piece of software that allows JDBC to connect to different databases. Once loaded, a JDBC driver connects to a database by providing a specifically formatted URL that includes the port ... Continue Reading
A cloud database management system (CDBMS) is a database management system that is hosted by a third-party service provider on a remote server and accessed over the Internet. Continue Reading
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We asked attendees at a conference on NoSQL databases about the challenges faced by users of the software. Their responses cited issues such as scalability, data modeling and analytics. Continue Reading
In a book excerpt, consultant Dan Sullivan offers insights into how to select the right type of NoSQL database for the right application in your organization. Continue Reading
SAP HANA is an in-memory DBMS and application platform designed to handle high transaction rates and complex queries using one data copy. Continue Reading
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The JSON data-interchange format has increasingly found a home in Web applications. But XML is keeping its place in a publishing system at the American Psychological Association. Continue Reading
This episode of the Talking Data podcast looks at obstacles to NoSQL, as well as big data analytics challenges that software architects confront with Hadoop. Continue Reading
NoSQL database technology is built for processing speed and data flexibility. But it needs a fuller feature set and more skilled workers to make it big in enterprise applications. Continue Reading
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Consultant Dan Sullivan, author of "NoSQL for Mere Mortals," discusses some of the pertinent points for IT shops to consider before entering the new world of NoSQL databases. Continue Reading
For many data management teams, going through application code is the only way to find NoSQL data models. But there are ways to change that, according to this Talking Data podcast. Continue Reading
Encouraged by the promise of cost savings and better efficiency, early adopters are wading into Hadoop as a central reservoir for their analytics data. Continue Reading