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Big Data, Big Data Fundamentals, hdfs, yarn, mapreduce programming model

NewCondition 2659.60
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DURATION
4 days

LEVEL
Basic

OBJECTIVES
In this course you’ll learn about the key characteristics of big data, the benefits it can provide, and the types of data it incorporates. You’ll also be introduced to the different ways Big Data can be applied. This course also covers some fundamental security challenges of Big Data and some best practices for managing Big Data through an effective information life cycle.

PREREQUISITES
Basic computer science knowledge and ability to install applications and utilize virtual machines.

WHO SHOULD ATTEND
Technical staff and engineers involved in management and planning of unstructured Big Data collection, monitoring and analysis.

TOPICS
Key sources of Big Data
Volume, Velocity, Variety, Veracity, Valence, Value
Data collection and monitoring
Identifying big data problems
Architectural components and programming models
Core Hadoop stack components
YARN resource and job management system
HDFS file system
MapReduce programming model
Program deployment using Hadoop and Spark

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