Big Data Modeling and Management Systems from Coursera

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.

At the end of this course, you will be able to:

* Recognize different data elements in your own work and in everyday life problems

* Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design

* Identify the frequent data operations required for various types of data

* Select a data model to suit the characteristics of your data

* Apply techniques to handle streaming data

* Differentiate between a traditional Database Management System and a Big Data Management System

* Appreciate why there are so many data management systems

* Design a big data information system for an online game company

This course is for those new to data science. Completion of Intro to Big Data is recommended. 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. Refer to the specialization technical requirements for complete hardware and software specifications.

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 (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.

What's inside

Syllabus

Introduction to Big Data Modeling and Management

Welcome to this course on big data modeling and management. Modeling and managing data is a central focus of all big data projects. In these lessons we introduce you to the concepts behind big data modeling and management and set the stage for the remainder of the course.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches methods and techniques for modeling and managing big data, which is standard in industry

Taught by Amarnath Gupta and Ilkay Altintas, who are recognized for their work in big data

Develops foundational skills in big data modeling and management, which are core skills for data scientists

Offers hands-on experience working with different types of data formats, including streaming data, which is highly relevant to industry

Provides insights into the applications used for big data management, which is useful for personal growth and development

Requires students to have the ability to install applications and utilize a virtual machine, which may be a barrier to some students

Reviews summary

Introduction to big data modeling and management

According to learners, this course provides a solid foundation and an excellent overview of various big data management systems and modeling techniques. Students particularly appreciate the hands-on exercises and practical examples, finding them crucial for understanding the concepts. While some reviewers mention initial challenges with the technical setup and potentially outdated software versions, the course is generally seen as highly valuable for beginners looking to enter the field of big data.

The online game example is practical.

"The 'Catch the Pink Flamingo' case study was a clever way to apply the concepts learned throughout the course."

"I found the module on designing a big data system for an online game very practical and relevant."

"Working through the design challenge helped me see how the different pieces fit together in a real-world scenario."

Well-suited for those new to big data.

"This course is perfectly pitched for someone who is new to big data concepts."

"It really helped me understand the core differences between traditional databases and big data systems."

"The course assumes no prior programming experience, which was perfect for my background."

Explores a wide range of big data tools.

"I liked that the course introduced us to several different big data management systems like Impala, Neo4j, and SparkSQL."

"It's great to get exposure to the "evolving plethora" of big data platforms as mentioned in the description."

"The overview of different data models and when to use them for various systems was quite insightful."

Practical exercises reinforce learning effectively.

"The labs are the strongest part of this course! Getting hands-on with different tools was invaluable."

"I really benefited from the practical exercises, they helped solidify the theoretical concepts taught in the lectures."

"The guided tutorials for working with real-time data were particularly useful and engaging."

Provides a great overview and foundation.

"This course provides a solid foundation in big data modeling and management. It covers a good range of concepts."

"I found the initial modules very helpful in understanding the basic principles of big data systems."

"As someone new to the field, I felt this course gave me an excellent starting point to explore further topics."

Setting up the required environment can be challenging.

"Setting up the required virtual machine and software was quite time-consuming and frustrating."

"I struggled with the technical requirements, especially getting VirtualBox configured correctly on my machine."

"Some of the software versions mentioned in the course materials seemed slightly outdated, causing compatibility issues during setup."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Big Data Modeling and Management Systems with these activities:

Organize your notes, assignments, quizzes, and exams from the course.

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Stay organized by compiling and reviewing your course materials regularly to reinforce your learning.

Browse courses on Organization

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Gather all of your notes, assignments, quizzes, and exams from the course.
Organize the materials into a logical order.
Review the materials periodically to refresh your memory and reinforce your understanding.

Review the materials from the course's prerequisites.

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Ensure your foundational knowledge is strong by reviewing the materials from the course's prerequisites.

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Go over your notes, assignments, and quizzes from the prerequisite courses.
Take practice questions or complete review exercises to test your understanding.

Form a study group with other students in the course.

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Enhance your understanding of the course material by collaborating and discussing concepts with other students.

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Reach out to other students in the course and introduce yourself.
Set up a regular meeting time and place for your study group.
Discuss the course material, work on practice problems, and share insights.

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Volunteer at a local data science or technology organization.

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Gain practical experience and connect with professionals in the field by volunteering at a local organization.

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Research local data science or technology organizations.
Identify an organization that you are interested in volunteering for.
Contact the organization and inquire about volunteer opportunities.

Learn about Big Data Tools

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There are many tools available for Big Data modeling and management. Learn about these tools and how to use them.

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Research Big Data tools
Find tutorials on Big Data tools
Follow the tutorials

Write a Big Data Management Plan

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Writing a Big Data Management Plan will help you understand the challenges and opportunities of Big Data management. Write a Big Data Management Plan for a given organization.

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Identify the organization's Big Data needs
Develop a Big Data management strategy
Create a Big Data management plan

Install and learn to use AsterixDB and HP Vertica.

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Learn how to work with two big data management systems to round out your knowledge of these tools.

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Download and install AsterixDB and HP Vertica.
Run tutorials to learn the basics of each system.
Explore the documentation of each system to learn more about their features and capabilities.

Practice Working with Hadoop

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Working with Hadoop is essential in Big Data and this course. Practice working with Hadoop through drills and exercises to reinforce your skills.

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Install Hadoop
Create a Hadoop cluster
Run a Hadoop job

Practice writing SQL queries to perform common data operations on various types of data.

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Solidify your understanding of SQL and how to use it to manipulate data by completing practice drills.

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Find a set of SQL practice problems online or in a book.
Solve the problems on your own, referring to the documentation as needed.
Check your answers against the provided solutions.

Design a Big Data Model

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Creating a Big Data Model will help you understand the concepts and techniques of Big Data modeling. Design and create a model for a given Big Data scenario.

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Identify the data sources
Choose a data modeling tool
Create the data model
Validate the data model

Design a big data information system for an online game company.

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Apply your knowledge of big data modeling and management to a real-world scenario by designing a system for an online game company.

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Research the data needs of an online game company.
Identify the different types of data that the company will need to collect and store.
Design a big data information system that can meet the company's data needs.
Create a presentation or document that describes your design.

Start a project to build a data visualization dashboard.

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Enhance your data visualization and analysis skills by building a dashboard for a dataset of your choice.

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Choose a dataset that you are interested in.
Explore the data and identify the key insights that you want to communicate.
Design a dashboard that will effectively communicate these insights.
Implement your dashboard using a data visualization tool.

Develop a Big Data Application

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Developing a Big Data application is a great way to apply your skills and knowledge. Develop a Big Data application for a real-world problem.

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Identify the problem
Design the application
Implement the application
Test the application

Career center

Learners who complete Big Data Modeling and Management Systems will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is a professional who uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They then use these insights to develop solutions that can improve business outcomes. This course can help you develop the skills you need to become a Data Scientist. You'll learn how to collect, clean, and analyze data, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst is a professional who uses data to analyze business trends. They collect, clean, and analyze data to identify patterns and trends. They then use these insights to develop reports and recommendations that can help businesses make better decisions. This course can help you develop the skills you need to become a Data Analyst. You'll learn how to collect, clean, and analyze data, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Data Analyst

Data Engineer

A Data Engineer is a professional who designs and builds data systems. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course can help you develop the skills you need to become a Data Engineer. You'll learn how to design and build data systems, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Data Engineer

Database Administrator

A Database Administrator is a professional who manages and maintains databases. They ensure that databases are running smoothly and that data is secure. This course can help you develop the skills you need to become a Database Administrator. You'll learn how to manage and maintain databases, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Database Administrator

Software Engineer

A Software Engineer is a professional who designs, develops, and maintains software applications. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course can help you develop the skills you need to become a Software Engineer. You'll learn how to design, develop, and maintain software applications, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Software Engineer

Business Analyst

A Business Analyst is a professional who analyzes business processes and develops solutions to improve efficiency and effectiveness. They work with data scientists and data analysts to develop insights that can help businesses make better decisions. This course can help you develop the skills you need to become a Business Analyst. You'll learn how to analyze business processes and develop solutions to improve efficiency and effectiveness.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager is a professional who is responsible for the development and launch of new products. They work with data scientists and data analysts to develop insights that can help businesses make better decisions about product development. This course can help you develop the skills you need to become a Product Manager. You'll learn how to develop and launch new products, and you'll gain experience using real-time and semi-structured data examples.

See salaries and explore the career path for Product Manager

Marketing Analyst

A Marketing Analyst is a professional who analyzes marketing data to identify trends and patterns. They use these insights to develop marketing campaigns that can reach target audiences and achieve business goals. This course can help you develop the skills you need to become a Marketing Analyst. You'll learn how to analyze marketing data and develop marketing campaigns.

See salaries and explore the career path for Marketing Analyst

Financial Analyst

A Financial Analyst is a professional who analyzes financial data to identify trends and patterns. They use these insights to make investment recommendations and develop financial plans. This course can help you develop the skills you need to become a Financial Analyst. You'll learn how to analyze financial data and develop financial plans.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

An Operations Research Analyst is a professional who uses mathematical and statistical models to solve business problems. They work with data scientists and data analysts to develop solutions that can improve efficiency and effectiveness. This course can help you develop the skills you need to become an Operations Research Analyst. You'll learn how to use mathematical and statistical models to solve business problems.

See salaries and explore the career path for Operations Research Analyst

Management Consultant

A Management Consultant is a professional who helps businesses improve their performance. They work with data scientists and data analysts to develop insights that can help businesses make better decisions. This course can help you develop the skills you need to become a Management Consultant. You'll learn how to help businesses improve their performance.

See salaries and explore the career path for Management Consultant

Data Architect

A Data Architect is a professional who designs and builds data architectures. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course may be useful if you want to become a Data Architect because it will help you understand the principles of data architecture.

See salaries and explore the career path for Data Architect

Information Systems Manager

An Information Systems Manager is a professional who manages and maintains information systems. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course may be useful if you want to become an Information Systems Manager because it will help you understand the principles of information systems management.

See salaries and explore the career path for Information Systems Manager

IT Project Manager

An IT Project Manager is a professional who manages and coordinates IT projects. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course may be useful if you want to become an IT Project Manager because it will help you understand the principles of IT project management.

See salaries and explore the career path for IT Project Manager

Data Governance Specialist

A Data Governance Specialist is a professional who develops and implements data governance policies and procedures. They work with data scientists and data analysts to develop solutions that can improve business outcomes. This course may be useful if you want to become a Data Governance Specialist because it will help you understand the principles of data governance.

See salaries and explore the career path for Data Governance Specialist