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Overview
The Ultimate Hands-On Hadoop - Tame your Big Data from Udemy is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory.
You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.
You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!
Students at The Ultimate Hands-On Hadoop - Tame your Big Data from Udemy will:
- Design distributed systems that manage "big data" using Hadoop and related technologies.
- Use HDFS and MapReduce for storing and analyzing data at scale.
- Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
- Analyze relational data using Hive and MySQL
- Analyze non-relational data using HBase, Cassandra, and MongoDB
- Query data interactively with Drill, Phoenix, and Presto
- Choose an appropriate data storage technology for their application
- Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
- Publish data to their Hadoop cluster using Kafka, Sqoop, and Flume
- Consume streaming data using Spark Streaming, Flink, and Storm
Programme Structure
Courses include:
- Using Hadoop's Core: HDFS and MapReduce
- Programming Hadoop with Pig
- Hadoop with Spark
- Using relational data stores with Hadoop
- Using non-relational data stores with Hadoop
- Querying your Data Interactively
- Managing your Cluster
- Feeding Data to your Cluster
- Analyzing Streams of Data
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- San Francisco, United States
Disciplines
Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Who this course is for:
- Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale.
- Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop.
- Data analysts and database administrators who are curious about Hadoop and how it relates to their work.
- System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
Technological requirements
- You will need access to a PC running 64-bit Windows, MacOS, or Linux with an Internet connection and at least 8GB of *free* (not total) RAM, if you want to participate in the hands-on activities and exercises.
- Some activities will require some prior programming experience, preferably in Python or Scala.
- A basic familiarity with the Linux command line will be very helpful.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents160 USD / full≈ 160 USD / full - Out-of-State160 USD / full≈ 160 USD / full
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Domestic
Applies to youIn-State160 USD / full≈ 160 USD / full
Funding
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