Rapid Cassandra. Learn how to design a NoSQL database using Cassandra and implement a real-life application written in Java
The name of this course is Rapid Cassandra. The knowledge you will get with this indescribable online course is astonishing. Learn how to design a NoSQL database using Cassandra and implement a real-life application written in Java.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Packt Publishing, one of the very best experts in this field.
Description of this course: Rapid Cassandra
Course Description Rapid Cassandra is a practical video course that covers the typical administration tasks in real-life systems. It starts from the architecture basics and proceeds in a step-by-step fashion with demonstrations on how to evolve a single environment from scratch to a completely operating cluster. The course starts with a quick and essential review on Cassandra’s architecture. It also recapitulates important concepts such as the native data types and the building blocks. The course covers the modeling by query techniques and the fundamental difference between primary key and secondary indexes, which are usually encountered in designing a high-performance Cassandra data model. Then the course shows you how to design and build a stock analysis application written in Java to work with Cassandra, where you will walk through the software development life cycle of a single application. This rapid video tutorial will help you transform from a novice developer into an expert on Cassandra. Using Cassandra’s unique features, you will learn just how easy it is to create your own production-grade Cassandra cluster! This guide is indispensable for developers who want to design a smart NoSQL data model and build a Java application backed by Cassandra, from scratch. By the end of this course, you will be knowledgeable enough to correctly leverage Cassandra’s unique capabilities, effectively design a NoSQL database, and use Java to develop applications working with Cassandra. About the Author C Y Kan is an expert in system integration and has over 20 years of IT experience, including 15 years of project management and architect roles in many large-scaled regional and international projects. He received a Bachelor’s degree from the University of Hong Kong and a Master’s degree from the University of Technology, Sydney. He holds many professional certifications such as PMP, PRINCE2 Practitioner, PMI-ACP, Scrum Master, CISSP, ITIL, TOGAF9, and SOA Certified Architect. He has expertise and strong interests in software technologies and development methodologies, including enterprise architecture, service-oriented architecture, Java-related technologies, Oracle databases, iOS application development, Scrum, extreme programming, agile software development, and various kinds of project management methodologies.
#R #Python #MachineLearning #BigData #DataAnalysis
Requirements of this course: Rapid Cassandra
What are the requirements? All you need to start this course is an understanding of basic Linux commands and común knowledge of Java. Previous experience with Cassandra is helpful but not essential.
What will you learn in this course: Rapid Cassandra?
What am I going to get from this course? Explore the unique features and capabilities offered by Cassandra’s data model Understand the modeling by query technique with an example-driven explanation Design and implement a data model for a real-life stock analysis application Configure the Java development environment for Cassandra Master the use of primary and secondary key indexes Connect Java to Cassandra using a driver provided by DataStax Determine the usage of the most frequently used monitoring tools in Cassandra Discover the most important metrics for performance tuning opportunities
Target audience of this course: Rapid Cassandra
Who is the target audience? If you are a beginner to intermediate level architect, developer, or anybody who is interested in developing applications with Cassandra, this is the course for you.