The NoSQL Databases (Big Data) course offers you the chance to delve into the fascinating world of non-relational databases, a key technology in the Big Data management, which is transforming the current technological landscape. Increasing digitalisation and the exponential growth in data have fuelled demand for professionals trained in NoSQL. This course will equip you with the skills you need to understand the NoSQL data models, explore distributed databases and analyse practical examples of their application. You will learn to handle large volumes of data efficiently and flexibly – skills that are highly valued in the job market. By choosing this course, you will not only position yourself at the forefront of technological innovation, but you will also broaden your professional horizons, preparing you for a booming sector full of opportunities.
NoSQL databases (Big Data)
Big Data
40 hours
Introduction
Objectives
- Understand the basics of NoSQL databases.
- Identify the different NoSQL data models available.
- Distinguish between relational and NoSQL databases.
- Analyse the architecture of distributed databases.
- Explore practical examples of NoSQL databases.
- Assess the advantages and disadvantages of using NoSQL.
- Apply knowledge of NoSQL to Big Data projects.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO NOSQL DATABASES
Introduction
Multilingual persistence.
Acid model.
New trends
Comparison of SQL and NoSQL
TEACHING UNIT 2. NOSQL DATA MODELS
Data models.
Aggregation models
Key-value aggregation models.
Document-oriented data models.
Column-oriented aggregation models.
Graph data models.
TEACHING UNIT 3. DISTRIBUTED DATABASES
Distributed databases
Strategies for designing distributed databases.
Designing NoSQL Databases
Hadoop Distributed File System (HDFS)
TEACHING UNIT 4. EXAMPLES OF NOSQL DATABASES
Example of a NoSQL aggregation database
RIak. Key-value database example
MongoDB: an example of a document database.
Neo4j. Example of a NoSQL graph database.
HBase. Example of a columnar database
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