Big Data NoSQL Databases

This course is about distributed persistence technologies, focusing on NoSQL databases, and their query languages. For each particular NoSQL implementation, its architecture is described and positioned via the CAP theorem.
Learn via
2 days or 4 evenings
  • Overview
  • Prerequisites
  • Learning Outcomes
  • What's included
  • Course Outline

The growth of the internet has brought along with it the phenomena of Big Data and its massive quantities of rapidly evolving, unstructured information. The need to process and store this information in a timely and cost effective way has led to the adoption of the computer cluster as the infrastructure of choice. The adoption of computer clusters as a primary tool in the IT world has given greater impetus to the development of distributed systems that take full advantage of this infrastructure. Apache Spark is an example of such a distributed system for data processing. This course is about distributed persistence technologies, focusing on NoSQL databases, and their query languages.

The Hadoop Distributed File System (HDFS) is the first persistence technology presented in the course. Well known for its role in Hadoop MapReduce, HDFS is also used directly by many Big Data and NoSQL applications including Apache Spark, Pig, Hive, and HBase. Each of these three technologies: Pig for data mining, Hive for data warehousing, and HBase as a NoSQL column-family store, are described.

The course then presents representative NoSQL databases for each of the four previously mentioned data models: MongoDB for the document, Cassandra for column-family, Neo4j for graph, and Redis for key-value.

For each particular NoSQL implementation, its architecture is described and positioned via the CAP theorem. Common use cases are presented and the API demonstrated. Specific approaches for achieving scalability are identified.

The ability to read Java is necessary for many of the examples presented in the notes. The exercises require the ability to make slight adaptations of code presented in the notes. Note that all the NoSQL databases presented in this course publish client libraries in multiple languages. Java is one client language that is common to all the NoSQL databases used here.

When learning about NoSQL, it is helpful to be able to make comparisons with relational technology. Although the latter is reviewed in the course, it will be helpful if the participant has some prior experience with the relational model.

After successfully completing this course, delegates will be able to:

Distinguish the different types of NoSQL databases
Understand the impact of the cluster on database design
State the CAP theorem and explain it main points
Explain where HBase, MongoDB, Cassandra, Neo4j, and Redis fit with the CAP theorem
Work with the Hadoop Distributed File System (HDFS) as a foundation for NoSQL technologies
Warehouse HDFS data using Apache Hive
Data mine HDFS data with Apache Spark-SQL and Apache Pig
Describe the design of HBase, MongoDB, Cassandra, Neo4j, and Redis
Use the data control, definition, and manipulation languages of the NoSQL databases covered in the course

•Interactive training classes in 2 days (daytime timetable) or 4 evenings (evening timetable)
•Hands-on practice after the classes with a work-based assignment in 14-21 days
•Access to support by our mentors during the course period
•Pairview Certification for achieving this competency

Review of the Relational Model
ACID Properties
Distributed Databases: Sharding and Replication
…and more.

Overview of HDFS
HDFS Deployment
Core HDFS Services
…and more.

What Is Hive?
Hive Metastore and HiveServer2
The Beeline Command-Line Interface
…and more.

Configuring HBase
Data Model: Conceptual and Physical Views
Data Model Operations
…and more.

The Document Data Model
Documents and Collections
MongoDB Use Cases
…and more.

The Column-Family Data Model
Databases and Tables
Columns, Types, and Keys
…and more.

Overview of Graph Theory
The Graph Data Model
Relationships as First-Class Citizens
…and more.

The Key-Value Data Model
Redis as a Cache
Commands and Pipelining
…and more.

What You Will Benefit From

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You will have access to tailored support by our dedicated mentors while you learn and practise. Our mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track. They also give you valuable advice on professional and career development.

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Big Data NoSQL Databases

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