Cloudera Data Analyst training for Apache Hadoop - Xebia Training

1. Training Software Development Done Right for Apache Hadoop Cloudera Data Analyst training for Apache Hadoop

2. Contents • Cloudera Developer for Apache Hadoop • Programme and Course Overview Developer Certification • Target Group & Prerequisites: Agenda Eliminate even the smallest risk of configuration drift Keep production monkey-proof while releasing all the time Xebia Worldwide Our Clients

3. Organizational Overview • Founded in 2001, Xebia Training is a global leading brand in the Education Training space. • An International IT Consulting, Project & Outsourcing organization. • Specialized in Agile, Java, Software and Mobile development, Big Data, Architecture and Agile testing. • Work with Corporates, Students, Academic Institutes, PSUs & Government to enhance the quality. • Global delivery footprint. • Trained over 30,000 students in India & abroad. • Conducted training for more than 100 Corporates across various sectors. Corporate Learning Solution Campus Learning Solution An Organization Driving “ Software Development Done Right” Individual Learning Solution Government Learning Solution

4. Xebia's four-day developer training course delivers the key concepts and expertise participants need to create robust data processing applications using Apache Hadoop. From workflow implementation and working with APIs through writing MapReduce code and executing joins, Cloudera's training course is the best preparation for the realworld challenges faced by Hadoop developers. Cloudera Developer for Apache Hadoop http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/

5. Xebia University delivers a developer-focused Cloudera Certified training course that closely analyzes Hadoop's structure and provides hands-on exercises that teach you how to import data from existing sources; process data with a variety of techniques such as Java MapReduce programs and Hadoop Streaming jobs; and work with Apache Hive and Pig. • Programme and Course Overview • Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • The internals of MapReduce and HDFS and how to write MapReduce code • Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms • How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects • Creating custom components such as WritableComparables and InputFormats to manage complex data types • Writing and executing joins to link data sets in MapReduce • Advanced Hadoop API topics required for real-world data analysis http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/ The only company which can support you on Learning, training and certification initiatives.

6. Developer Certification: Certification is a great differentiator; it helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise. Learn more about the CCDH Certification Exam here:http://cloudera.com/content/cloudera/en/training/certification/ccdh.html Target Group & Prerequisites: This course is best suited to developers and engineers who have programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises. http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/

7. Key Promises of this Training: • The core technologies of Hadoop. • How HDFS and MapReduce work. • How to develop MapReduce applications. • How to unit test MapReduce applications. • How to use MapReduce combiners, partitioners and the distributed cache. • Best practices for developing and debugging MapReduce applications. • How to implement data input and output in MapReduce applications. • Algorithms for common MapReduce tasks. • How to join data sets in MapReduce. • How Hadoop integrates into the data center. • How Hive, Impala and Pig can be used for rapid application development. • How to create large workflows using Oozie. http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/

8. Agenda: • Introduction • The Motivation for Hadoop • Hadoop: Basic Concepts and HDFS • Introduction to MapReduce • Hadoop Clusters and the Hadoop Ecosystem • Writing a MapReduce Program in Java • Writing a MapReduce Program Using Streaming • Delving Deeper into the Hadoop API • Practical Development Tips and Techniquess • Partitioners and Reducers • Data Input and Output • Implementing Custom InputFormats and OutputFormats • Frequency • Joining Data Sets in MapReduce Jobs • Integrating Hadoop into the Enterprise Workflow • An Introduction to Hive, Imapala, and Pig • An Introduction to Oozie • Conclusion http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/

9. Key Promises of this Training: • At least 4GB RAM; • 15GB of free hard disk space; • VMware Player 5.x or above (Windows)/ VMware Fusion 4.x or above (Mac); • Your laptop must support a 64-bit VMware guest image. If the machines are running a 64-bit version of WIndows, or Mac OS X on a Core DUO 2 processor or later, not other test is required. Otherwise, VMware provides a tool to check compatibility, which can be downloaded from http://tiny.cloudera.com/training2; • Your laptop must have VT-x virtualization support enabled in the BIOS; • If running Windows XP: 7-Zip or WinZip  is needed (due to a bug in Windows XP's built-in Zip utility). http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/

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