cloudera data analyst training for apache hadoop - xebia training

Download Cloudera Data Analyst training for Apache Hadoop - Xebia Training

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Software Development Done Rightfor Apache HadoopCloudera Data Analyst training for Apache HadoopTraining

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Target Group & Prerequisites:Cloudera Developer for Apache HadoopAgendaDeveloper CertificationXebia WorldwideContentsProgramme and Course Overview

Eliminate even the smallest risk of configuration driftKeep production monkey-proof while releasing all the timeOur Clients

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Individual LearningSolutionCampusLearningSolutionCorporate LearningSolutionGovernment LearningSolution

An Organization Driving Software Development Done Right

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.

Software Development Done Right4Cloudera 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.

Software Development Done Right5Programme and Course OverviewThe 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 willnavigate 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 workflowsand common algorithms How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects Creating custom components such as WritableComparables and InputFormats tomanage complex data types Writing and executing joins to link data sets in MapReduce Advanced Hadoop API topics required for real-world data analysis

Software Development Done Right6Developer 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: 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.

Software Development Done Right7Key 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.

Software Development Done Right8Agenda: 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

Software Development Done Right9Key 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; 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).

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11Global Delivery Model Classroom Training Virtual classroom

Instructor led online classroom +Access to self learning course content+

Practice tests+

Support via live chat, email and phone

Instructor Led training

+ Practice tests


Support via live chat, email and phone

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Why Xebia?

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The future at Xebia

Agile is our core focus and speciality

Company of the YearPair Programming, additional redundancyXebia India to grow to 500 in the next yearNew development center in Bangalore Regular skill gap assessments Extensive Trainings of new hiresExcellency around DevOps & Continuous Delivery

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Headquartered at Hilversum, Netherlands600+ employeesUS$ 71 Million in revenueThought leader in cutting edge technologiesXebialabs Leading Deployment automation tool

Xebia Worldwide

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Select clients across 13 industries

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Xebia:PeopleFirst.Thank YouXebia NetherlandsUtrechtseweg 491213 TL Hilversum

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