NoSQL databases can store non-relational data on a super large scale, and can solve problems regular databases can’t handle: indexing the entire Internet, predicting subscriber behavior, or targeting ads on a platform as large as Facebook. But with over 150 NoSQL database types, it can be hard for a SQL professional to know where to start. In this course, Lynn Langit breaks these types down into five main categories and shows how to get your own NoSQL database up and running with easy-to-configure cloud solutions. You’ll learn how to add and query data and also examine case studies where NoSQL was used to solve real-world data storage management issues. The final chapter contains tips just for startup businesses that are considering their first NoSQL solution.
LEVEL – Intermediate
COURSE TOPICS:
What is NoSQL?
What is Hadoop?
Exploring Redis, HBase, MongoDB, and Neo4j
Exploring NoSQL features in Microsoft SQL Server
Working with NoSQL data in the cloud
Applying NoSQL choices to business scenarios
Considering how data will be input and output at your business
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LEARN THIS COURSE FOR FREE *10 days of free unlimited access to “NoSQL for SQL Professionals”
Instructor’s Welcome Note:
– Hi, I’m Lynn Langit and welcome to NoSQL for SQL Professionals. NoSQL is a set of database technologies designed to store non-relational data at large or very large scale. NoSQL databases originated out of work done by Google, Facebook and Yahoo to solve web scale problems such as indexing the entire internet, predicting subscriber behavior or targeting Facebook ads. In this course, we’ll take a look at the complex landscape of NoSQL databases, we’ll group the over 150 current NoSQL databases into five categories so we can understand differences and functionality, we’ll see how to a add data to and query from each of the major types.
Then I’ll show you how to quickly get up and running with your NoSQL databases, leveraging the Cloud offerings. We’ll apply the knowledge to real-world scenarios so you can put your new understanding of NoSQL databases to practical use. So let’s get started.
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