Big Data and Hadoop Training Course
KnowledgeHut
Summary
- Tutor is available to students
Overview
Companies around the world today find it increasingly difficult to organize and manage large volumes of data. Hadoop has emerged as the most efficient data platform for companies working with big data, and is an integral part of storing, handling and retrieving enormous amounts of data in a variety of applications. Hadoop helps to run deep analytics which cannot be effectively handled by a database engine.
Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.
Hadoop 2.0 Developer training at KnowledgeHut will teach you the technical aspects of Apache Hadoop, and you will obtain a deeper understanding of the power of Hadoop. Our experienced trainers will handhold you through the development of applications and analyses of Big Data, and you will be able to comprehend the key concepts required to create robust big data processing applications. Successful candidates will earn the credential of Hadoop Professional, and will be capable of handling and analysing Terabyte scale of data successfully using MapReduce.
Note: You are requested to carry a laptop for this training.
Description
From the course:
- Understand Big Data and the various types of data stored in Hadoop
- Understand the fundamentals of MapReduce, Hadoop Distributed File System (HDFS), YARN, and how to write MapReduce code
- Learn best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms
- Learn how to leverage Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem
- Understand optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster
- Learn advanced Hadoop API topics required for real-world data analysis
- Understand the path to ROI with Hadoop
From the workshop:
- High quality training from an industry expert
- 24 hours of comprehensive training
- Course Completion Certificates
- 50% interactive and hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features, and more
Who is this course for?
- Architects and developers who design, develop and maintain Hadoop-based solutions
- Data Analysts, BI Analysts, BI Developers, SAS Developers and related profiles who analyze Big Data in Hadoop environment
- Consultants who are actively involved in a Hadoop Project
- Experienced Java software engineers who need to understand and develop Java MapReduce applications for Hadoop 2.0.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.