Learn Big Data : Complete Hadoop Ecosystem with Practicals

Learn Complete Big Data (Spark + MongoDB + Pig + Hadoop + Hive + Cassandra + HBase + Redis + Beeline) with Examples
3.77 (35 reviews)
Udemy
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English
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Learn Big Data : Complete Hadoop Ecosystem with Practicals
312
students
12.5 hours
content
Jan 2018
last update
$29.99
regular price

Why take this course?

🌟 Course Title: Master Big Data: Comprehensive Hadoop Ecosystem with Practical Applications

Course Headline: πŸš€ Dive into the World of Big Data with a Complete Toolkit - Spark, MongoDB, Pig, Hadoop, Hive, Cassandra, HBase, Redis, and Beeline!


Unlock Your Potential in Big Data πŸ’»πŸ“Š

Course Description:

Are you a software developer, tester, or aspiring data engineer eager to conquer the vast landscape of Big Data? Look no further! Our meticulously crafted course, "Learn Big Data: Complete Hadoop Ecosystem with Practical Examples," is tailor-made for professionals like you who aim to establish a robust career in the Big Data arena.

Why Choose This Course?

  • For All Profiles: Whether you're a developer, tester, or simply curious about Big Data technologies, this course caters to everyone interested in exploring the field.
  • Hands-On Learning: Get hands-on experience with the full suite of Big Data tools and technologies, including Hadoop, Hive, Pig, HBase, Cassandra, MongoDB, Redis, and Beeline.
  • Real-World Application: This course is not just theoretical; it provides practical examples that align with real-world scenarios, ensuring you're learning skills that are highly relevant and in-demand.
  • Comprehensive Curriculum: From beginner to advanced knowledge, this course covers all the essentials needed for a career in Big Data, including testing.
  • Testing Domain Focus: Specially designed to address the needs of those looking to transition into the Big Data testing domain, this course includes materials that are crucial for understanding and executing tests within Big Data ecosystems.
  • Detailed Command and Query Guide: Learn the ins and outs of commands and queries across different databases, which is essential for both development and testing purposes.

Course Structure:

The course is structured into clear, manageable sections that cover each aspect of the Big Data ecosystem:

  • Introduction to Big Data - Understanding the importance and scale of Big Data.
  • Hadoop Fundamentals - Get acquainted with the Hadoop framework, its architecture, and core components like MapReduce and YARN.
  • Data Storage Solutions - Explore various storage solutions within the Big Data ecosystem, including HBase, Cassandra, MongoDB, and Redis.
  • Data Processing and Analysis - Dive into data processing with Pig and Hive, learning to write MapReduce jobs using these tools.
  • Advanced Data Processing - Understand Apache Spark and its role in real-time analytics and machine learning workloads.
  • NoSQL Databases - Gain insights into NoSQL databases, their use cases, and how they fit into the Big Data landscape.
  • Interactive Query Tool - Learn to interact with large datasets using Beeline and other query tools.

Who Should Take This Course?

This course is ideal for:

  • Developers looking to expand their skill set to include Big Data technologies.
  • Testers aiming to understand the Big Data ecosystem from a testing perspective.
  • Individuals transitioning into or upskilling within the Big Data domain.

Embark on Your Big Data Journey Today! 🌟

Don't miss this opportunity to become a proficient Big Data professional. With our comprehensive course, you'll have all the tools and knowledge you need to succeed in one of today's most exciting and dynamic fields. Enroll now and take your career to new heights!

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1483600
udemy ID
27/12/2017
course created date
18/12/2020
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