Businesses now have access to more data than ever before, and a key
challenge is how to ensure that data can be easily accessed and used
efficiently. MongoDB makes it possible to store and process large sets
of data in ways that drive up business value. The flexibility of
unstructured storage, combined with robust querying and post processing
functionality, make MongoDB a compelling solution for enterprise big
data needs.
Learning MongoDB will show you how to install, configure, and secure
MongoDB to meet the demands of modern enterprise data systems. You will
quickly master data management, queries, post processing, and essential
enterprise redundancy requirements to achieve high availability and fast
response times.
The course begins with installation instructions and moves on to the
essential features, covering advanced data manipulation and high
availability. Then, topics such as backup and recovery are covered.
Advanced data analysis is demonstrated using both MapReduce and the
MongoDB aggregation framework with clear diagrams and examples.
As we move to the end of the course, we delve into SSL security and
programmatic access using various languages. You'll also learn about
MongoDB’s built-in redundancy and scale features, replica sets, and
sharding.
This video course will take you on a journey from all the downright
basics of MongoDB to the deployment of a reliable, secure, and
enterprise-ready big data solution.
About The Author
Daniel Watrous is a 15-year veteran of designing web-enabled
software. His focus on data store technologies spans relational
databases, caching systems, and contemporary NoSQL stores. For the last
six years, he has designed and deployed enterprise-scale MongoDB
solutions in semiconductor manufacturing and information technology
companies.
He holds a degree in electrical engineering from the University of Utah,
focusing on semiconductor physics and optoelectronics. He also
completed an MBA from the Northwest Nazarene University.
In his current position as senior cloud architect with Hewlett Packard,
he focuses on highly scalable cloud-native software systems. He also
owns a small software company and actively documents much of his work on
his site http://software.danielwatrous.com/.
