Advanced NoSQL for Data Science
Investigate the fundamentals of NoSQL. Learn the distinctions between NoSQL and traditional relational databases, as well as how to use NoSQL to perform common data science tasks.
1 h 56 m
Master MongoDB, the NOSQL leader with Clarity and Confidence
Learn MongoDB - Updated Every Week 100+interview Questions 100+Quizzes 60+Assignments mongobooster java C# nodejs php - Free Course
11 h 44 m
Fundamentals of the MarkLogic NoSQL Database
A hands-on guide to begin building and running applications using MarkLogic - Free Course
6 h 22 m
NoSQL Data Modeling Essential Training
NoSQL technologies have left even experienced data modelers scratching their heads, wondering how their valuable skills can transfer to future development activities
1 h 33 m
Building XQuery Apps with the MarkLogic NoSQL Database
A hands-on guide to building apps using the XQuery programming language and the MarkLogic NoSQL database. - Free Course
8 h 23 m
Data Integration with the MarkLogic NoSQL Database
A hands-on guide to integrating data silos and building an operational data hub using MarkLogic - Free Course
9 h 15 m
Semantics and the MarkLogic NoSQL Database
A hands-on guide to begin using semantics in MarkLogic - Free Course
7 h 57 m
MarkLogic NoSQL for Business
An introduction for the non-technical business user. - Free Course
Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. As part of these alternative technologies the student will learn the main characteristics and how to implement the typical NoSQL databases, such as Key-value, columnar, document and graph. Let's start! After completing this course, a learner will be able to ● Identify what type of NoSQL database to implement based on business requirements (key-value, document, full text, graph, etc.) ● Apply NoSQL data modeling from application specific queries ● Use Atomic Aggregates and denormalization as data modelling techniques to optimize query processing Software to download: MongoDB Neo4j SAPIQ Cassandra In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
IBM Data Engineering
Offered by IBM. Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with.
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Collection of best No SQL Courses
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