Current enterprise data architectures include NoSQL databases co-existing with relational databases. However, NoSQL data management currently lacks mature methods and tools to manage NoSQL data. In this article, author discusses a solution for managing both NoSQL and relational databases using Unified Data Modeling techniques.
Neo Technology, the company behind the graph NoSQL database Neo4j, recently released version 2.3 of the database and also announced openCypher initiative. InfoQ spoke with Philip Rathle about it.
In this article, author Dan Macklin discusses the transition to Riak NoSQL and Erlang based architecture coupled with Convergent Replicated Data Types (CRDTs) and lessons learned with the transition. 3
ColumnarStore can offer performance improvements over traditional tables, but aren’t always faster. Aleksandr Shavlyuga explores the power, and limitations of SQL Server’s ColumnStore Indexes.
Author Lenley Hensarling discusses Foreign Data Wrapper (FDW) feature in Postgres database. FDW provides a SQL interface for accessing data from disparate sources like NoSQL databases.
An interview with Google's William Vambenepe, who's lead product manager for Big Data services, to ask him about the shift from products to services when working with Big Data.
NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author.
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools.
Graph NoSQL databases support data models with connected data. In this article, author discusses security implications of graph databases in use cases like graph discovery and knowledge management.
When building a web application there are lot of choices for the database. In this article, author discusses why Neo4j is a good choice if data model contains lot of connected data and relationships.
In this article, Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization. 1
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR:
Moving from Relational to NoSQL: How to Get Started
As enterprises adapt to the digital economy, development and operations teams have to build...
MongoDB vs. Couchbase Server: Architectural Differences and their Impact
From the new generation of NoSQL databases, MongoDB and Couchbase Server have...
NoSQL Database Evaluation Guide
While every company has its own specific set of requirements for the NoSQL database...
Why Retail and eCommerce are making the move to NoSQL
In today’s digital economy, leading companies like Best Buy Canada, Nike, Staples, and...
How to Choose a Database for your Mobile Apps
Today’s consumers rely on their mobile apps everywhere – even when they can’t get a network connection...
Simply Accelerate NoSQL data stores
Leading businesses count on NoSQL databases to run their web, mobile, and IoT applications...
High Performance with Distributed Caching Couchbase
For many web, mobile, and Internet of Things (IoT) applications that run in...
Introduction to Data Modeling in Couchbase
The white paper, “Introduction to Data Modeling in Couchbase Server,” explains the process...