Description:
Hadoop is a groundbreaking open-source framework that has revolutionized the way businesses store and process large amounts of data. It allows organizations to store vast amounts of data across multiple clusters of commodity hardware, drastically reducing installation and maintenance costs. Hadoop provides enormous storage capabilities, processing power, and analytics capabilities—such as real-time and predictive analytics—at your fingertips. As the volume of data continues to grow exponentially, Hadoop is becoming essential for businesses looking to make data-driven decisions.
Through this training, students will gain expertise in Hadoop development and administration, equipping them with the skills to handle big data solutions efficiently. Completing the course will prepare you for a successful career as a Hadoop professional, with opportunities in roles such as Hadoop Developer or Hadoop Administrator.
Key Objectives:
- Java MapReduce: Gain expertise in writing customized Java MapReduce jobs to summarize data and solve common data manipulation problems.
- Debugging and Workflows: Learn best practices for debugging and implementing workflows and algorithms within the Hadoop ecosystem.
- Custom Components: Learn how to create custom components like input formats and writable comparables to manage complex data types.
- Advanced Hadoop API: Understand advanced topics in the Hadoop API to enhance your data processing capabilities.
- Hadoop Ecosystem Projects: Gain hands-on experience with Hadoop ecosystem projects like Hive, Oozie, Pig, Flume, Sqoop, and others.
Pre-requisites:
- No specific prerequisites are required for learning Hadoop, though basic knowledge of Core Java and SQL would be helpful.
- Students who wish to learn Core Java can access a complimentary self-paced course in “Core Java” when enrolling in the Hadoop Certification course.
Who Should Attend This Training?
- Architects and Java developers looking to develop data processing applications using Apache Hadoop.
- Technical managers involved in development processes, who want to enhance their understanding of Hadoop.
- Business Analysts, Database Administrators, and SQL Developers seeking to deepen their knowledge of big data technologies.
- Software engineers with a background in ETL/Programming and professionals dealing with data management.
- .NET Developers and Data analysts aiming to use Hadoop for big data analysis and application development.
Certification Preparation:
This training program will help you prepare for certification exams and provide you with a solid understanding of Hadoop’s core concepts. Becoming a certified Hadoop professional will not only enhance your skills but also significantly improve your career prospects. After completing the course, students can register for the
Cloudera Certified Developer for Apache Hadoop (CCDH) exam and, upon passing, earn the
Cloudera Certified Associate (CCA175) and
Cloudera Certified Professional (CCP-DE575) certifications.
Job Outlook: The demand for professionals with Hadoop expertise is growing rapidly. By completing this training and obtaining certification, you will open doors to exciting career opportunities in big data, cloud computing, and data engineering roles.
