Big Data Training
Big Data Training
Order this unique E-Learning Training Big Data online, 1 year 24/7 access to rich interactive videos and tests.
Read more- Brand:
- Big Data
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- Buy 2 for €126,42 each and save 2%
- Buy 3 for €125,13 each and save 3%
- Buy 5 for €119,97 each and save 7%
- Buy 10 for €116,10 each and save 10%
- Buy 25 for €109,65 each and save 15%
- Buy 50 for €100,62 each and save 22%
- Buy 100 for €90,30 each and save 30%
- Buy 200 for €64,50 each and save 50%
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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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- Order and start within 24 hours
Big Data E-Learning
Order this unique E-Learning Big Data course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports tests.
In the modern world, data is being generated at an exponential rate. Business data generation is increasing at a similarly rapid rate. Only a small percentage of business data is structured data in rows and columns of databases. This data proliferation requires a rethinking of traditional techniques for capture, storage, and processing. Big data is a term that describes data sets so big they can’t be managed with traditional database systems. Big Data is also a collection of tools and techniques aimed at solving these problems. This learning path covers the current thinking and state of the art for managing and manipulating large data sets using the techniques and tools of Big Data.
Course content
Big Data in Perspective
Course: 17 Minutes
- Course Introduction
- Introducing Big Data
- The Biggest Wave Yet
- Emerging Technologies
Global Data
Course:14 Minutes
- Defining Big Data
- Key Terms for Data
- Sizing Big Data
The Key Contributors
Course: 10 Minutes
- The Original Key Contributors
- The Distro Companies
The Apache Software Foundation
Course: 10 Minutes
- Apache Software Foundation
- Apache Projects
- Other Apache Projects
- Other Open Source Projects
Big Data Stack
Course: 13 Minutes
- The Big Data Stack
- Big Data Components
- NoSQL Databases
Hadoop in Detail
Course: 31 Minutes
- Distributed Computing
- Design Principles of Hadoop
- Functional View of Hadoop
- HDFS in Action
- Yarn in Action
- MapReduce in Action
- Spark in Action
Practice: Big Data elements and functions
Course: 15 Minutes
- Exercise: Working with Big Data Elements
Big Data Teams
Course: 28 Minutes
- Course Introduction
- The Big Data Team
- Business Team Members
- Analytics Team Members
- Data Solutions Team Members
- Cluster Team Members
- Big Data Impacting IT
Big Data Projects
Course: 25 Minutes
- DIY Supercomputing
- Hadoop in the Clouds
- Big Data and Data Warehouses
- Business Case for Big Data
- Big Data and RDBMS
- Data Center Projects
Big Data Use Cases
Course: 20 Minutes
- Data Analytics
- Big Data Engines
- Common Analytics Use Cases
- Big Data Impacting the Globe
Opportunities and Challenges
Course: 32 Minutes
- Global Increasing Digital Volume
- The Big Companies
- Big Data Opportunity
- Big Data Challenges
- Challenges of Security and Privacy
- Planning for Big Data
- Big Data Impacting Business
Practice: Challenges and Opportunities of Big Data
Course: 5 Minutes
- Exercise: Challenges and Opportunities of Big Data
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 3:40 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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