Apache Hadoop, Yarn, Hive and Spark are popular big data tools used by many organizations to develop big data analytics solutions. Through this course students can develop big data applications using these tools to process data and derive valuable insights from data. By the end of the course, students will be able to set up a personal big data development environment, master the fundamental concepts of Hadoop, Yarn, Hive and Spark, copy data into and from a big data cluster, process the data using the Map/Reduce paradigm, run Map/Reduce and Spark jobs on Yarn, Learn to process big data using Scala programming language in Spark, Use RDDs and data frames to process big data, use Parquet format to store data, and finally use Machine Learning Libraries of Spark to develop Machine Learning solutions like decision trees, recommendation engine, Linear Regression and Anomaly detection.
Intro to database program units
Building, managing, and using packages
Creating, maintaining, and implementing triggers
Work with BEGIN, DECLARE, EXCEPTION, and Oracle database tools
App developers and designers looking for career growth
Database administrators willing to enhance their skills
Organizations willing to develop apps using Oracle-SQL
Students wanting to prepare for Oracle certification exams
Download Brochure for the course
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