Data Modeling for Hadoop Training
Data Modeling for Hadoop Training
Order this unique E-Learning course Data Modeling for Hadoop Training online, 1 year 24/7 access to rich interactive videos and tests.
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- Buy 2 for €126,42 each and save 2%
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- Buy 10 for €116,10 each and save 10%
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- Buy 50 for €103,20 each and save 20%
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- In stock
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- Ordered before 5 p.m.! Start today.
- Award Winning E-learning
- Lowest price guarantee
- Personalized service by our expert team
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Data Modeling for Hadoop E-Learning
Order this unique E-Learning course today!
✔️ 1 year of 24/7 access to rich interactive videos with voice support.
✔️ Progress tracking through reports and chapter-based tests to immediately strengthen your knowledge.
Why choose this training?
The vast volume, complexity, and speed of data that organizations process today require advanced techniques and tools. Hadoop is an open-source software framework that helps businesses process and analyze large volumes of fast and diverse data. This course offers an introduction to:
- Hadoop and its key tools: Learn how to use Hadoop to process big data.
- Data modeling: Gain insight into data modeling concepts for Hadoop, from beginner to intermediate level.
- Practical application of Hadoop: Learn how to effectively use Hadoop for business and technical purposes.
The training includes both theory and demonstrations of key concepts, helping you master the fundamentals of data modeling and big data analysis.
Who should take this course?
This course is suitable for:
- Data analysts who want to leverage the power of Hadoop for big data analysis.
- IT professionals looking to specialize in data modeling and Hadoop technology.
- Software developers who want to integrate Hadoop into their applications.
- Business users who want to understand how Hadoop can help their organization process and analyze data.
Course content
Introduction to Hadoop
Course: 25 Minutes
- Course Introduction
- What is Big Data and Its Applications?
- Big Data Platforms
- What is Hadoop?
- Virtual Machine Setup
- Install Linux
UNIX and JAVA Modeling
Course: 5 Minutes
- UNIX Commands
Hadoop Data Internals and Interactions
Course: 17 Minutes
- Hadoop Deployment
- Internals of HDFS
- Read/Write Processes in HDFS
- HDFS Commands
MapReduce and YARN
Course: 17 Minutes
- What is YARN?
- What is MapReduce?
- MapReduce Examples
- Java MapReduce
Ecosystem and Data Type Handlings
Course: 23 Minutes
- Hadoop Ecosystem (Pig, HIVE, HBase)
- Hadoop Ecosystem (Sqoop, Flume, Mahout, Oozie)
- Hadoop Data Type
- Hadoop Distributions
- Features of Hadoop Application
Practice: Practice Filtering in Hadoop
Course: 2 Minutes
- Exercise: Practice Filtering in Hadoop
Big Data Designing and Modeling
Course: 1 Hour, 6 Minutes
- Course Introduction
- What is Data Management?
- Introduction to Data Modeling in Hadoop
- Hadoop Data Storage Options
- HDFS Schema Design
- HBase Schema Design
- Introduction to Data Movement in Hadoop
- Data Ingestion Considerations in Hadoop
- Data Ingestion Options in Hadoop
- What is a Data Stream?
- What is a Data Lake?
- Introduction to Data Security Management
- What is Kerberos?
- Hadoop and Kerberos
- Data Warehousing with Hadoop
Practice: Key Features of Data Modeling
Course: 1 Minute
- Exercise: Data Modeling in Hadoop
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 2:35 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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