Become a Big Data Hadoop Developer from scratch
Basic Hadoop tutorial
3.40 (33 reviews)
410
students
5 hours
content
Jan 2019
last update
$19.99
regular price
What you will learn
learn introduction to hadoop
Hadoop Distributed File System(HDFS)
MapReduce(MR)
Run MapReduce Application using JAVA
Run Word Count example in JAVA
Run Max.Temp. Hadoop MapReduce program in JAVA
HDFS Commands for accessing Hadoop File System
Running Queries in HBase
Different operations in HBase using JAVA API
HBase Architecture
Apache HIVE
Apache PIG
Why take this course?
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**Course Headline:** π **Master the World of Big Data with Hadoop β A Comprehensive Guide for Elementary Learners!**
**Course Title:** Become a **Big Data Hadoop Developer from scratch** π»
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**Course Description:**
Are you intrigued by the vast ocean of **Big Data** and eager to dive into the realm of data processing at scale? Look no further! Our **"Big Data Hadoop Developer"** course is your gateway to mastering Apache Hadoop, the cornerstone of Big Data processing. This course is meticulously designed for **elementary learners** who aspire to become proficient in handling and analyzing large datasets using the powerful Hadoop framework.
**What You'll Learn:**
- π **Understanding Big Data**: Grasp the fundamentals of Big Data, its significance in today's data-driven world, and the scenarios where Hadoop excels.
- ποΈ **HDFS Explained**: Unravel the components and architecture of the Hadoop Distributed File System (HDFS), and understand how it stores and manages large datasets across a cluster.
- β‘ **MapReduce Deep Dive**: Learn the inner workings of MapReduce, from its phases to its powerful architecture, and discover how it processes data efficiently in distributed systems.
- π· **Hands-on with Pig**: Dive into Apache Pig, a high-level platform for creating MapReduce programs, and learn when and how to leverage Pig Latin to simplify your data analysis tasks.
- π **Explore HBase**: Discover the role of HBase as a scalable, distributed database that builds on HDFS, and master its commands and operations through real-world use cases.
**Course Structure:**
- **Hadoop Overview**: Discover what Big Data is all about, its significance in various industries, and the architecture of a Hadoop cluster.
- **Deep Dive into HDFS**: Explore the components that make up HDFS, its architecture, and how it ensures high availability and fault tolerance.
- **Understanding MapReduce**: Gain insights into the Map phase, the Reduce phase, and how this powerful programming model processes data across a cluster.
- **Pig Latin for Data Analysis**: Learn why Apache Pig is a crucial tool in the Hadoop ecosystem and how to use its scripting language to perform complex data transformations.
- **Real-time Data with HBase**: Understand the role of HBase as a NoSQL database, learn the core commands and operations, and see how to create, manage, and integrate tables within this column-oriented database.
**Why This Course?**
- **Hands-On Learning**: Engage with practical examples and real-world scenarios that solidify your understanding of Hadoop concepts.
- **Comprehensive Coverage**: From HDFS to MapReduce, Pig, and HBase, this course covers the entire spectrum of Hadoop technologies.
- **Expert Instructors**: Learn from industry experts who bring years of experience and a passion for teaching.
- **Flexible Learning**: Study at your own pace, with content that's accessible anytime, anywhere, on any device.
**Ready to embark on your journey towards becoming a Big Data Hadoop Developer? π**
Enroll now and transform your career! Let's unlock the potential of data together. ππ
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Reviews
Mohamed
January 10, 2019
the instructor is reading the slides as a machine he is not give any interaction or question so students can think about
he is not give examples on what he is saying
you can't know exactly what he is talking about in real life example like when he said that RDBMS is vertical and hadoop is horizontal
Francisco
October 31, 2018
Yes only the origin of the jars o libraries is not clear. If we are running this course in a mac or PC. The other thing is the language because if you put a neutral English accent the course could be better
Laura
September 30, 2018
The arguments of the course are very interesting, although sometimes the explanations are more complicated than the argument really is.
Saurabh
October 7, 2016
good for the beginners who want to start with big data. The sound at some point is bit low but overall is a good attempt.
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Enrollment distribution
940964
udemy ID
8/25/2016
course created date
7/1/2019
course indexed date
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