Overview/Description The performance, integrity, and security of your MySQL servers is key to maintaining stable, consistent, and secure databases. In this course, you'll learn about monitoring and maintaining your servers while planning for growth, and about security measures to keep your data safe. The course also covers monitoring systems, measuring performance, securing databases, reviewing database metadata, and ensuring data integrity. Target Audience Personnel at all levels of an enterprise seeking to attain competency in MySQL Prerequisites None Expected Duration (hours)...

Overview/Description Big Data requires a holistic approach and a change to regular working practices. This course covers the way teams work in Big Data organizations, some projects and use cases for Big Data, and challenges and opportunities that Big Data presents. Target Audience IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems Prerequisites None Expected Duration (hours) 1.5 Lesson Objectives Big Data Opportunities and Challenges start the course...

Overview/Description MapReduce programming is a framework for processing parallelizable problems across huge datasets. This course will define MapReduce programming and explain the basics of programming in MapReduce and Hive. Target Audience This path is designed for developers, managers, database developers, and anyone with the basic knowledge of Java interested in learning the basics of programming in MapReduce. Prerequisites None Expected Duration (hours) 2.0 Lesson Objectives MapReduce Essentials start the course describe the job components and the steps of...

Overview/Description Hadoop's HDFS is a highly fault-tolerant distributed file system and, like Hadoop in general, designed to be deployed on low-cost hardware. It provides high throughput access to application data and is suitable for applications that have large data sets. This course examines the Hadoop ecosystem by demonstrating all of the commonly used open source software components. You'll explore a Big Data model to understand how these tools combine to create a supercomputing platform. You'll also learn how the principles of supercomputing apply to Hadoop and how this yields an...