Course: Big Data Analytics
duration: 2 hours |
Language: English (US) |
access duration: 90 days |

Details
Big data analytics provides a way to turn the vast amounts of data available in today's digital world into valuable insights. Use this course to explore basic principles and techniques of big data analytics in a business context. Go through each data processing step to fully comprehend the big data analytics pipeline. Furthermore, learn about Spark, which is an open-source solution that allows you to run big data analytics pipelines at high speed.
Result
After completing this course, you will have a foundational comprehension of some of the technologies behind big data and you can work with Spark for high-speed big data analytics.
Prerequisites
No prerequisites.
Target audience
Business Analyst, Data analist
Content
Big Data Analytics
Big Data Analytics: Techniques for Big Data Analytics
Big data analytics provides a way to turn the vast amounts of
- data available in today's digital world into valuable insights. For
- this reason, big data analytics techniques have taken a central
- place in many businesses' IT infrastructure. These comprise complex
- processes and multiple stack layers that allow you to transform raw
- data into visualizations that demonstrate trends or other
- phenomena. Use this course to explore the basic principles and
- techniques of big data analytics in a business context. Go through
- each step of data processing to fully comprehend the big data
- analytics pipeline. Furthermore, explore various use cases of big
- data analytics through real-world examples. When you're done with
- this course, you'll have a foundational comprehension of some of
- the technologies behind big data and how these can drive business
- decisions for the better.
Big Data Analytics: Spark for High-speed Big Data Analytics
- Spark is an open-source, massively parallel, in-memory solution that allows you to run big data analytics pipelines at high speed. Use this course to learn how Apache Spark works and gain an understanding of its architecture.
- As you progress, investigate the industry-leading examples of Uber and Alibaba to recognize how Spark can add business value to data in many industry types.
- Moving along, compare the functionality of Spark and Hadoop in relation to use cases, identifying when using Spark is most advantageous. Finally, explore fundamental Spark characteristics, optimization techniques, and best practices.
- When you've completed this course, you'll have a solid theoretical understanding of how and when to use Apache Spark for specific big data analytics tasks.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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Mobile ready | Yes |
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