cloudera data analyst training for apache hadoop - xebia training
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Cloudera Data Analyst training for Apache Hadoop - Cloudera Data Analyst training for Apache Hadoop provided by Xebia University that offers store and access massive quantities of multi-structured data and also provides prior experience with data bases. - PowerPoint PPT PresentationTRANSCRIPT
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for Apache HadoopCloudera Data Analyst
training for Apache Hadoop
Training
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Target Group & Prerequisites:
Cloudera Developer for Apache Hadoop
Agenda
Developer Certification
Xebia Worldwide
Contents Programme and Course
Overview
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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.
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Cloudera Developer for Apache Hadoop
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.
http://training.xebia.in/big-data/cloudera-developer-for-apache-hadoop/
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Programme and Course Overview
The only company which can support you on Learning, training and certification initiatives.
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.
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/
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Developer Certification:
Target Group & Prerequisites:
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
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/
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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/
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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/
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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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List of Trainings
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Practice tests+
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