You're reading from Modern Big Data Processing with Hadoop

Product typeBook

Published inMar 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781787122765

Edition1st Edition

Languages

Scala

Tools

Hadoop Apache Spark

Concepts

Big Data

Authors (3):

V Naresh Kumar

Manoj R Patil

Prashant Shindgikar

View More author details

Apache Sqoop

Apache Sqoop is a tool designed for efficiently transferring bulk data between a Hadoop cluster and structured data stores, such as relational databases. In a typical use case, such as a data lake, there is always a need to import data from RDBMS-based data warehouse stores into the Hadoop cluster. After data import and data aggregation, the data needs to be exported back to RDBMS. Sqoop allows easy import and export of data from structured data stores like RDBMS, enterprise data warehouses, and NoSQL systems. With the help of Sqoop, data can be provisioned from external systems into a Hadoop cluster and populate tables in Hive and HBase. Sqoop uses a connector-based architecture, which supports plugins that provide connectivity to external systems. Internally, Sqoop uses MapReduce algorithms to import and export data. By default, all Sqoop jobs run four map jobs...

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Modern Big Data Processing with Hadoop

Published in: Mar 2018Publisher: PacktISBN-13: 9781787122765

Authors (3)

V Naresh Kumar

Naresh has more than a decade of professional experience in designing, implementing and running very large scale Internet Applications in Fortune Top 500 Companies. He is a Full Stack Architect with hands-on experience in domains like E-commerce, Web-hosting, Healthcare, Bigdata & Analytics, Data Streaming, Advertising and Databases. He believes in Opensource and contributes to them actively. He keeps himself up-to-date with emerging technologies starting from Linux Systems Internals to Frontend technologies. He studied in BITS-Pilani, Rajasthan with Dual Degree in Computer Science & Economics.
Read more about V Naresh Kumar

Manoj R Patil

Manoj R Patil is the Chief Architect in Big Data at Compassites Software Solutions Pvt. Ltd. where he overlooks the overall platform architecture related to Big Data solutions, and he also has a hands-on contribution to some assignments. He has been working in the IT industry for the last 15 years. He started as a programmer and, on the way, acquired skills in architecting and designing solutions, managing projects keeping each stakeholder's interest in mind, and deploying and maintaining the solution on a cloud infrastructure. He has been working on the Pentaho-related stack for the last 5 years, providing solutions while working with employers and as a freelancer as well. Manoj has extensive experience in JavaEE, MySQL, various frameworks, and Business Intelligence, and is keen to pursue his interest in predictive analysis. He was also associated with TalentBeat, Inc. and Persistent Systems, and implemented interesting solutions in logistics, data masking, and data-intensive life sciences.
Read more about Manoj R Patil

Prashant Shindgikar

Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.
Read more about Prashant Shindgikar

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