Скачать или смотреть Apache Pig Tutorial | What is Apache Pig | Big Data Training | Edureka | Big Data Live

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This Edureka video on "Apache Pig Tutorial " will help you understand the basics of Apache Pig with examples.

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About the Course:

Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab.
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What are the objectives of our Big Data Hadoop Online Course?

Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop course offers:
In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The exposure to many real-world industry-based projects which will be executed in Edureka’s CloudLab
Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce
Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices
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What are the skills that you will be learning with our Big Data Hadoop Certification Training?

Big Data Hadoop Certification Training will help you to become a Big Data expert. It will hone your skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects.
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For more information, please write back to us at [email protected] or call us at:
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