Topic Overviews

NoSQL Explained

NoSQL encompasses a wide variety of different database technologies and were developed in response to a rise in the volume of data stored about users, objects and products, the frequency in which this data is accessed, and performance and processing needs. Relational databases, on the other hand, were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the cheap storage and processing power available today.

Learn More >

Big Data Explained

Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great. But today, new technologies make it possible to realize value from Big Data.

Learn More >

Hadoop Explained

Hadoop is a software technology designed for storing and processing large volumes of data using a cluster of commodity servers and commodity storage. Hadoop is an open-source Apache project started in 2005 by engineers at Yahoo. It consists of a distributed file system, called HDFS, and a data processing and execution model called MapReduce.

Learn More >

Containers and Orchestration Explained

Want to try out MongoDB on your laptop? Execute a single command and you have a lightweight, self-contained sandbox; another command removes all trace when you're done.

Need an identical copy of your application stack in multiple environments? Build your own container image and then your entire development, test, operations, and support teams can launch an identical clone environment.

Orchestration tools manage how multiple containers are created, upgraded, and made highly available. Orchestration also controls how containers are connected to build sophisticated applications from multiple, microservice containers.

The rich functionality, simple tools, and powerful APIs make container and orchestration functionality a favorite for DevOps teams who integrate them into Continuous Integration (CI) and Continuous Delivery (CD) workflows.

Learn More >