This course is designed for developers and engineers who have programming experience, but prior knowledge of Hadoop and/or Spark is not required Apache Spark examples and hands-on exercises are presented in Scala and Python. The ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful
In this Oracle NoSQL Database for Developers Ed 2 course, you learn to create applications for the Oracle NoSQL Database. You use the Java APIs for the Oracle NoSQL database to perform insert, delete, and update operations on a KVStore. You create consistency and durability policies for the KVStore. You also handle exceptions that may raise while performing operations effectively. Lean To: Retr...
The course provides the students with practical hands-on experience on data mining and machine learning using open source machine learning libraries such as scikit-learn in Python programming language. After completing the course, the students will be able to apply and use various data mining and machine-learning techniques on real-word big/business datasets.
The course provides knowled...
This Predictive Analytics using Oracle Data Mining Ed 1 training will review the basic concepts of data mining. Expert Oracle University instructors will teach you how to leverage the predictive analytical power of Oracle Data Mining, a component of the Oracle Advanced Analytics option. Oracle University
This Oracle Database: Introduction to SQL training helps you write subqueries, combine multiple queries into a single query using SET operators and report aggregated data using group functions. Learn this and more through hands-on exercises.
- Understand the basic concepts of relational databases ensure refined code...
This Oracle R Enterprise Essentials training will teach you how to leverage the Oracle Database as a high performance computing platform from the powerful R statistical programming language and environment. Overcome the memory limitations of the open source client R engine. Prepare data, perform statistical analysis, and build predictive models on Big Data data sets that are generally impossibl...