Big Data

At AVTECH, we provide I.T. & allied health certifications, and hands-on training.

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Certification Training is our specialty. Courses are for certificate preparation purposes only. These courses are NOT associated with WIOA/WDP or any other State or Federal sponsored employment training.


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Course Introduction

Corporations, institutions and government agencies today are generating massive amounts of data that are too large and too unwieldy to fit in relational databases. They are turning to massively parallel computing solutions such as Apache Hadoop for help. Hadoop is a framework, with Hadoop Distributed File System (HDFS) and MapReduce (M/R) framework at its core, which allows for the distributed processing of massive data sets across clusters of computers using a simple programming model. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Hadoop has established itself as an industry-leading platform for deploying cloud-based applications and services. The Hadoop eco-system is large, and it includes such popular products as HBase, Zookeeper, Oozie, Pig, and Hive. However, with such versatility comes complexity and difficulty in deciding on appropriate use cases. This course breaks down the walls of complexity of the Hadoop eco-system and distributed processing of Big Data by providing a practical approach to developing applications on top of the Hadoop platform.

Having background in Java language, such as multi-threading, serialization, JAVA I/O, and JAVA Collection API. Having Basic Knowledge of Object-Oriented concepts mandatory. Unix experience is helpful. The course consists of an approximately equal mixture of lecture and hands-on lab time. The course assumes that all students already have at least moderate previous Java experience, but not necessarily any experience with Hadoop or cloud computing. Although the course will use Java 7, previous experience with earlier Java versions is sufficient.

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