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Introduction to Big Data with Spark and Hadoop

Descripción

Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of some of the Big Data processing tools. You’ll explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses.

Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets residing in various databases and file systems that integrate with Hadoop.Lee mas.

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Relevancia profesional por rol de datos

Las técnicas y herramientas cubiertas en Introduction to Big Data with Spark and Hadoop son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Ingeniero de datos.

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Secuencia de aprendizaje

Introduction to Big Data with Spark and Hadoop is a part of uno structured learning path.