Hive Tutorial for Beginners | Hive Architecture | Hadoop Hive Tutorial | Hadoop Training | Edureka

🔥Edureka Big Data Hadoop Certification Training:
This Edureka video on “Hive Tutorial” will provide you with detailed knowledge about Hive and the functionalities it can perform. Below are the topics covered in this Hive Tutorial:
Why we needed Hive?
What is Hive?
Features of hive
Hive Architecture
Hive Components
Install Hive
Hive Datatypes
Hive Operators
Hive Data Models
Hive Demo

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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.
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
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. During Big Data & Hadoop course you will be trained by our expert instructors to:
Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management.
Understand MapReduce Framework
Implement complex business solution using MapReduce
Learn data ingestion techniques using Sqoop and Flume
Perform ETL operations & data analytics using Pig and Hive
Implementing Partitioning, Bucketing and Indexing in Hive
Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
Integrate HBase with Hive
Schedule jobs using Oozie
Implement best practices for Hadoop development
Understand Apache Spark and its Ecosystem
Learn how to work with RDD in Apache Spark
Work on real-world Big Data Analytics Project
Work on a real-time Hadoop cluster
How will Big Data and Hadoop Training help your career?

The below predictions will help you in understanding the growth of Big Data:
Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes
McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts
Average Salary of Big Data Hadoop Developers is $97k
For more information, please write back to us at or call us at:
IND: 9606058406 / US: 18338555775 (toll free)


15 thoughts on “Hive Tutorial for Beginners | Hive Architecture | Hadoop Hive Tutorial | Hadoop Training | Edureka”
  1. Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Hadoop Training and Certification Curriculum, Visit our Website:

  2. How to create a new table using existing table as input. In which two columns should add l, one is to be set to value dor all rows and second is a key value pair for ex. Exiting field:0

  3. Little blurr when we enlarge the screen.Very nicely explained hive in grater detail.very helpful👍

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