Hadoop Fundamentals
This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch.
Self-Paced
Learning Style
Course
Learning Style
Beginner
Difficulty
3 Hours
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch.
Course Information
About this course:
This course teaches about the Hadoop basic concepts. This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch. The course does not cover advanced level concepts though. However, by the end of this course, students will have an understanding of what goes behind the processing of huge volumes of data as the industry shifts from the excel-based analytics to real-time analytics.
Along with covering the basics of the program, the course will also give a general understanding of the commercial distributions of Hadoop alongside the features of the Hadoop ecosystem.
Learning objectives:
The course has the following learning objectives:
- Gaining understanding of the features and components of Big Data
- Explaining the fundamental concepts of Hadoop and HDFS structure
- Enlisting the components and working of MapReduce
- Getting knowledge of the fundamental concepts of Pig, Hive and HBase
- Gaining a general insight on the commercial distributions of Hadoop
- Gaining comprehension of the important features of the Hadoop ecosystem
- Getting introduction of Sqoop & ZooKeeper
Audience:
This course, Hadoop Fundamentals is intended for those experienced professionals who want to know the basics of Big Data and Hadoop. The course is extremely useful for those professionals who are on senior position in management and want to gain a theoretical comprehension of the way in which Hadoop can resolve their Big Data problem.
Requirements:
None.
Outline
More Information
| Subjects | Big Data |
|---|---|
| Lab Access | No |
| Technology | Hadoop |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 3 Hours |
| Language | English |
| VPA Discount | VPA Discount |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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