LECTURES
77 Lessons
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REVIEWS

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. 

Opportunities

Career Opportunities

Big Data Engineer 

Data Analyst 

Data Scientist 

Database Developer 

INCLUDES

Certification details 

Intro to database program units 

Building, managing, and using packages 

Creating, maintaining, and implementing triggers 

Work with BEGIN, DECLARE, EXCEPTION, and Oracle database tools 

Cloudera Certified Professional 

Microsoft’s MCSE: Data Management and Analytics 

MongoDB Certified Developer 

IBM Certifications. 

PREREQUISITE

Pre-requisites 

Development experience with Java or C++, database experience. 

Access to Linux environment or virtual machine with Linux on Windows. 

Audience

Target Audience 

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 

Beginners who want to learn big data tools 

Candidates who interested to take Big Data certification. 

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$850.00