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Are you interested in increasing your knowledge of the Big Data landscape? This course is for those who are new to data science and interested in understanding why the era of Big Data has emerged. It is for those who want to become familiar with the terminology and basic concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data could be useful in their business or career. Provides an introduction to one of the most common frameworks, Hado
Are you interested in increasing your knowledge of the Big Data landscape? This course is for those who are new to data science and interested in understanding why the era of Big Data has emerged.
It is for those who want to become familiar with the terminology and basic concepts behind big data problems, applications, and systems.
It is for those who want to start thinking about how Big Data could be useful in their business or career.
Provides an introduction to one of the most common frameworks, Hadoop, which has made big data analysis easier and more accessible, increasing the potential of data to transform our world! By the end of this course, you will be able to: * Describe the Big Data landscape, including examples of real-world Big Data problems, including the three key sources of Big Data: people, organizations, and sensors.
* Explain the V's of Big Data (volume, velocity, variety, veracity, valence, and value) and why each affects data collection, tracking, storage, analysis, and reporting.
* Get value from Big Data using a 5-step process to structure your analysis.
* Identify what are and are not big data problems and be able to rephrase big data problems as data science questions.
* Provide an explanation of the architectural components and programming models used for scalable big data analytics.
* Summarize the features and value of the building blocks of the Hadoop stack, including the YARN job and resource management system, the HDFS file system, and the MapReduce programming model.
* Install and run a program using Hadoop! This course is for those who are new to data science.
No prior programming experience is necessary, although the ability to install applications and use a virtual machine is required to complete hands-on assignments.
Hardware requirements: (A) Quad-core processor (VT-x or AMD-V support recommended), 64-bit; (B) 8GB of RAM; (C) 20 GB free on disk.
How to find your hardware information: (Windows): Open System by clicking the Start button, right-click Computer, and then click Properties; (Mac): Open Overview by clicking the Apple menu, then clicking "About This Mac."
Most computers with 8 GB of RAM purchased in the last 3 years will meet the minimum requirements.
You will need a high-speed Internet connection because you will be downloading files up to 4 Gb in size.
Software Requirements – This course is based on various open source software tools, including Apache Hadoop.
All the necessary software can be downloaded and installed free of charge.
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Welcome to the Big Data Specialization! We are excited for you to meet us and can't wait to learn about you!
You may have heard of the "Big V". We will give examples and descriptions of all 3. But, we want to propose a sixth V and ask you to practice writing Big Data questions targeting this V - value.
Big Data requires new frameworks and programming systems. For this course, we do not have programming knowledge or experience, but we want to give you a foundation in some of the key concepts.
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