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Big Data Analytics Using Hive In Hadoop

person icon Mukund Kumar Mishra

4.7

Big Data Analytics Using Hive In Hadoop

Hive The Data Warehouse Of Hadoop

updated on icon Updated on Oct, 2024

language icon Language - English

person icon Mukund Kumar Mishra

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -21

Resources -4

Duration -2 hours

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4.7

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Course Description

The  is a hands on based course which includes demo on all the major topics in Hive .

The course includes the best practices used in the industry. This course includes all the essential skills in Hive that makes anyone start working on Hive immediately after completing the course.

Goals

  • The course is gist of my experience of working in top most Big Data projects where I got the opportunity to learn and explore many problems which were first time in nature .The students will learn the Hive concept easily as the structure of course is 80%

Prerequisites

  • Basic data knowledge
Big Data Analytics Using Hive In Hadoop

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
4 Lectures
  • play icon Introducing Big Data & Hadoop 09:40 09:40
  • play icon Popular Hadoop Platforms 01:06 01:06
  • play icon Working On Cloudera 01:31 01:31
  • play icon Basic Hadoop Commands 06:07 06:07
Hive
12 Lectures
Tutorialspoint
Sqoop
4 Lectures
Tutorialspoint

Instructor Details

Mukund kumar mishra

Mukund kumar mishra

Driven by a fervent passion for catalyzing digital transformation, I am a dedicated Principal Consultant , with a strong focus on Big Data, Cloud (Azure, AWS), and cutting-edge Generative AI technologies. With over two decades of professional experience, I have built a stellar track record of driving innovation through the strategic deployment of AI and data-driven solutions.

In my career spanning diverse industries, including banking, insurance, manufacturing, and income tax, I have been at the forefront of leveraging Artificial Intelligence to empower organizations. My expertise in AI extends to enabling businesses to harness the power of data and achieve their strategic objectives by implementing state-of-the-art AI solutions.

Collaboration and innovation are the cornerstones of my approach. I thrive on working closely with cross-functional teams, including architects, engineering managers, and customer stakeholders, to define technology roadmaps that capitalize on the latest AI advancements and design robust application architectures that integrate AI seamlessly.

My forte lies in creating enterprise-level Data Lake and modern Data Warehouse capabilities, utilizing Hadoop ecosystems like HDFS, MapReduce, Pig, Sqoop, Hive, Spark, Scala, and Snowflake. I have also demonstrated remarkable proficiency in cloud environments, notably Azure and AWS, where I harness AI for data ingestion, storage, and processing, driving transformative business insights.

Additionally, my AI expertise encompasses data analysis, validation, and the development of AI-driven products, with a particular focus on areas like fraud management, where AI has proven to be a game-changer.

An enthusiastic advocate of knowledge sharing, I have been invited to speak at industry webinars and have contributed as a reviewer for a book on Practical Apache Spark. My qualifications include certifications as a Microsoft Certified Azure Solutions Architect, and I hold a PRINCE2® Practitioner Certificate in Project Management, which I apply to ensure the successful execution of AI-driven projects.

I invite you to join me on Tutorialspoint, where we will embark on an exhilarating learning journey to explore the transformative power of AI in the digital age.

This revised bio places a stronger emphasis on your AI capabilities and expertise, showcasing your proficiency in leveraging AI technologies for digital transformation.


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