Comprehensive Hive Certification Training

Master Hive Query language, Hive UDF and other concepts like Loading, Querying and Importing data in Hive.

Comprehensive Hive Certification Training

Course Description

Master Hive Query language, Hive UDF and other concepts like Loading, Querying and Importing data with this Comprehensive Hive Certification Training course. Hive is an Open-source, peta-byte scale Data Warehousing framework based on Hadoop. Comprehensive Hive certified personnel are in demand in the fields of Database management to manage Big Data. On completing this course at Edureka participants will have in-depth understanding of all the concepts in Hive. Hive is an essential tool that will help professionals to manage and control Big Data with ease. Hive brings the property of structuredness to Big Data when implemented in Hadoop and that is the reason Comprehensive Hive is a highly sought after course by professionals looking for expertise in Hadoop.   Projects Project #1: Health & Hospital Management I... Read More »

Master Hive Query language, Hive UDF and other concepts like Loading, Querying and Importing data with this Comprehensive Hive Certification Training course. Hive is an Open-source, peta-byte scale Data Warehousing framework based on Hadoop. Comprehensive Hive certified personnel are in demand in the fields of Database management to manage Big Data. On completing this course at Edureka participants will have in-depth understanding of all the concepts in Hive.

Hive is an essential tool that will help professionals to manage and control Big Data with ease. Hive brings the property of structuredness to Big Data when implemented in Hadoop and that is the reason Comprehensive Hive is a highly sought after course by professionals looking for expertise in Hadoop.

 

Projects

Project #1: Health & Hospital Management
Industry: Healthcare
Problem Statement: How many hospitals centres have more than 60% patient satisfaction with respect to cleanliness? Which hospital centre has the overall rating of either 9 or 10

Project #2: Country Project
Industry: Government
Problem Statement: Sort the number of countries based on landmass. Find out the top 5 countries with sum of bars and strips in a flag. Count the number of countries with an icon in the flag. Count the number of countries which have the same colour in the top left and top right corners of their flag.

Assignments
Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Read Less
Course Outcomes:
  • Understand the benefits of Hive and HiveQL
  • Perform Data Analysis using Hive
Course Details:

Target Audience

The course is designed for those who want to learn Hive and implement it in Hadoop framework. The following professionals can learn Comprehensive Hive:
  • Analytics Professionals

  • BI /ETL/DW Professionals

  • Project Managers

  • Testing Professionals

  • Mainframe Professionals

  • Software Developers and Architects

  • Graduates aiming to build a career in Big Data and Hadoop

Access Timeframe

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

Prerequisites

Understanding of Linux commands and SQL queries will be beneficial to learn Hive. It gives an opportunity to non-java professionals to work on Hadoop. Basic knowledge of core java will be helpful to work on UDF.
Certificate Info:

Type of Certification

Certificate of Completion

Format of Certification

Digital

Professional Association/Affiliation

edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc.

Course Outline

Learning Objectives: This module will help you in understanding concepts like Loading, Querying and Importing data in Hive.

Topics :

  • Hive Background
  • Hive Use Case
  • About Hive
  • Hive vs Pig
  • Hive Architecture and Components
  • Meta-store in Hive
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Partitions and Buckets
  • Hive Tables(Managed Tables and External Tables)
  • Importing Data
  • Querying Data
  • Managing Outputs

Learning Objectives: In this module you will learn more advanced concepts of Hive like the Hive querying language and Hive UDFs.

Topics :

  • Hive Script
  • Hive UDF and Hive Demo on Healthcare Data set. Hive QL: Joining Tables
  • Dynamic Partitioning
  • Custom MapReduce Scripts
  • Thrift Server
  • User Defined Functions

Technical Requirements

Understanding of Linux commands and SQL queries will be beneficial to learn Hive. It gives an opportunity to non-java professionals to work on Hadoop. Basic knowledge of core java will be helpful to work on UDF.

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