Introduction to Big Data

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible – increasing the potential for data to transform our world!At 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 impacts data collection, monitoring, storage, analysis and reporting.

• Get value out of Big Data by using a 5-step process to structure your analysis.

• Identify what are and what are not big data problems and be able to recast big data problems as data science questions.

• Provide an explanation of the architectural components and programming models used for scalable big data analysis.

• Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.

• Install and run a program using Hadoop!

This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.

Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB 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 relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

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Syllabus

Syllabus - What you will learn from this course
Week 1
Welcome
Big Data: Why and Where
Week 2
Characteristics of Big Data and Dimensions of Scalability
Data Science: Getting Value out of Big Data
Week 3
Foundations for Big Data Systems and Programming
Systems: Getting Started with Hadoop

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Reviews

Having a great and deep start about Big Data. this course helps me understand how big data is very useful to solve real-world problems before it happens or that situation was where a problem occurs.

Following this course enables me to gain a vast knowledge on basic big data domain.Quality content and 100% clear explanation made me so enthusiastic to learn this module.Tutors are pretty cool !

Excellent learning opportunity to the concepts of Big Data and about the Hadoop ecosystem. Overall a wonderful learning experience with hands-on to get practical knowledge on the concepts learnt

Hadoop commands were from the old version whereas there are new versions command also there however the content of the course was very much interactive and interesting and made the learning easy.