NoSQL Databases Courses and Certifications

Microsoft Azure Cosmos DB

104 ratings at Coursera

Work with Azure's non-relational data services: provision and configure Cosmos DB, Data Lake, Blob and File Storage, then upload and retrieve data held in them.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

MongoDB

MongoDB Aggregation Framework

66 ratings at Coursera

Analyze data with MongoDB's Aggregation Framework: filter, sort, group, join and traverse graph data, migrate relational schemas, and prepare data for machine learning workflows.

• Coursera
• 3 weeks, 6 hours a week
• Self-Paced
• Paid Course

EDUCBA

MongoDB: The Complete Guide to NoSQL Database Development

65 ratings at Coursera

Build MongoDB applications: run CRUD operations, design schemas and indexes, integrate Mongoose and Express for RESTful APIs, and configure replication, sharding, and backups.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Master MongoDB, the NOSQL leader with Clarity and Confidence

1175 ratings at Udemy

Learn MongoDB - Updated Every Week 100+interview Questions 100+Quizzes 60+Assignments mongobooster java C# nodejs php

• Udemy
• 11 hours 53 minutes
• Self-Paced
• Free Online Course

Learn by Example : HBase - The Hadoop Database

1150 ratings at Udemy

25 solved examples to get you up to speed with HBase

• Udemy
• 4 hours 56 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Master and Apply Redis for Scalable Systems

19 ratings at Coursera

Learn Redis key management, core and advanced data structures, ranking systems, pub/sub messaging, transactions, Lua scripting, persistence and replication to build scalable caching layers.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

EDUCBA

Master Redis Fundamentals for High-Performance Data Storage

17 ratings at Coursera

Learn Redis fundamentals: manage keys with expiration and TTL strategies, and apply strings, hashes, and lists for caching, session management, object storage, and producer–consumer queues.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Java Development with Databases

11 ratings at Coursera

Build Java database applications: connect through JDBC, use Spring Boot and Spring Data JPA for CRUD and REST endpoints, and work with Hibernate, MySQL, and NoSQL stores.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Big Data Technologies

Manage datasets too large for ordinary databases: work through Hadoop, HDFS, MapReduce, Spark DataFrames, Kafka streaming, and NoSQL stores like HBase, Cassandra, and MongoDB.

• Coursera
• 9 weeks, 11 hours a week
• Self-Paced
• Paid Course

Big Data Analytics

Analyze high-volume data with Hadoop, HDFS, MapReduce, Hive and Pig, query NoSQL stores, then build regression, classification and streaming applications with Spark and MLlib.

• Coursera
• 11 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

Getting Started with Apache Cassandra

Learn Cassandra from the ground up: data and storage models, architecture and services, CQL queries, plus security, deployment, monitoring, and maintenance.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

AWS DynamoDB Fundamentals

Learn to work with Amazon DynamoDB: run CRUD and batch operations on tables and items, configure auto scaling, use local and global secondary indexes, global tables, and backups.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Getting Started with Redis and RediSearch

Install and run a Redis instance, import example hashes, index them with the RediSearch module, and query them for full-text search and secondary indexing.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Packt

The Ultimate Hands-On Hadoop

Build and manage Hadoop data pipelines: work with HDFS, MapReduce, Pig, Hive, Spark MLLib, HBase, Kafka and YARN to process and stream big data.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Modern Databases

Work across the modern database landscape: query MongoDB, Neo4j, DynamoDB and Redis, apply CAP and BASE principles, process streams with ksqlDB, and integrate databases via Spring Boot.

• Coursera
• 10 weeks, 6 hours a week
• Self-Paced
• Paid Course