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A quick tour on Big Data and Business Intelligence

Elio Masciari

4.1

Based on 22 ratings

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Elio Masciari

This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.

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What's inside

Syllabus

Big data basics

Getting familiar with the following key concepts by attending the lessons and answering basic queries

Hadoop

Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a starting guide for diving into Big Data and AI fields, suitable for beginners and practitioners

Develops basic concepts, helping learners grasp the fundamentals of the topics

Covers the Hadoop paradigm, allowing learners to write small programs and become familiar with the tools

Explores NoSQL systems and AI building blocks, enhancing learners' understanding of these emerging technologies

Teaches basic concepts, providing a foundation for learners to pursue further exploration

Suitable for beginners, offering a gentle introduction to Big Data and AI topics

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Reviews summary

Foundational tour of big data & ai

According to learners, this course serves as an excellent conceptual introduction to Big Data and Business Intelligence, particularly for absolute beginners. Many found it a clear and concise overview of topics like Hadoop and NoSQL, providing a solid foundation without getting bogged down in excessive technical detail. However, some experienced learners noted a lack of practical depth and hands-on examples, making it more theoretical than practical. While valuable for understanding the landscape, students seeking advanced application or up-to-date tool specifics may find it only a starting guide that requires further study, and some content may feel slightly dated.

Designed as a quick tour rather than an in-depth course.

"It definitely lives up to its 'quick tour' name. I appreciated the conceptual discussions..."

"It just skims the surface... It's more theoretical than practical."

"It doesn't teach you to code, but it gives you the vocabulary and understanding required to engage with the topics."

A strong, clear overview for those new to the field.

"Fantastic foundation. The lessons on Big Data basics and Hadoop were very clear. It provided a great starting point for my understanding."

"Excellent introductory course! As someone completely new to Big Data, this tour was perfect. It covered all the high-level concepts..."

"I feel much more confident discussing these topics now. The explanations were very clear."

"It's a good conceptual primer. I learned a lot about the 'what' and 'why' of Big Data and NoSQL."

Some topics may feel slightly outdated in a fast-evolving field.

"Decent introduction, but some parts felt a bit dated, especially regarding Hadoop. The market moves fast..."

"I felt some of the tool discussions could use an update as newer technologies have emerged."

More theoretical than hands-on, requiring additional practice.

"I wish there were more hands-on examples, especially for Hadoop. Good for understanding the landscape, but you'll need to do more practical work elsewhere."

"Quite abstract. The course provides a theoretical overview of Big Data and AI, but lacks the practical depth needed for real-world application."

"While the explanations of core concepts... were decent, I was hoping for more practical application or deeper dives into specific technologies."

"The 'small pieces of programs' promised for Hadoop were minimal and not sufficient for practical understanding."

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 A quick tour on Big Data and Business Intelligence with these activities:

Compile a glossary of Big Data and AI terms

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Enhance your comprehension of Big Data and AI vocabulary by creating a comprehensive glossary of key terms

Browse courses on Terminology

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Gather definitions of important terms from course materials, textbooks, and online sources
Organize the terms into an accessible glossary, either digitally or physically

Big Data Fundamentals Quiz

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Test and strengthen your understanding of Big Data fundamentals.

Browse courses on Big Data

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Take a Big Data fundamentals quiz.
Review your results and focus on areas where you need improvement.

Mentor a novice in data science or AI

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Solidify your understanding of data science and AI concepts by sharing your knowledge and guiding others

Browse courses on Mentorship

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Identify opportunities to mentor someone who is new to data science or AI
Provide guidance, support, and feedback on their learning journey

11 other activities

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Show all 14 activities

Review probability basics

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Refresh foundational knowledge of probability theory to strengthen your understanding of big data and AI concepts

Browse courses on Probability

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Review basic probability concepts such as sample spaces, events, and probability distributions
Practice solving probability problems using Bayes' theorem and conditional probability

Spark SQL Tutorial

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Reinforce your understanding of Spark SQL by following a comprehensive tutorial.

Browse courses on Spark

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Follow the official Apache Spark SQL tutorial.
Work through the hands-on exercises provided in the tutorial.

Big Data Project with a Non-Profit

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Apply your Big Data knowledge to solve real-world problems and support a good cause.

Browse courses on Big Data

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Identify a non-profit organization that has a need for Big Data expertise.
Propose a project that you can complete to meet their data analysis needs.
Work with the non-profit to implement the project.

AI Summit

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Expand your knowledge of AI by attending an industry-leading summit.

Browse courses on AI

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Register for an AI summit that aligns with your interests.
Attend the summit and actively participate in sessions and networking opportunities.

Explore tutorials on Apache Hadoop

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Enhance your understanding of Hadoop by following structured tutorials and implementing concepts in a practical setting

Browse courses on Apache Hadoop

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Identify reputable tutorials on Hadoop fundamentals
Follow the tutorials step-by-step, setting up Hadoop on your local machine
Complete exercises and build small Hadoop programs

Join a study group for AI algorithms

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Enhance your understanding of AI algorithms by engaging in discussions, problem-solving, and knowledge-sharing with peers

Browse courses on AI Algorithms

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Identify or create a study group with fellow students or colleagues
Establish regular meeting times to discuss course material, algorithms, and concepts

Hadoop MapReduce Job

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Solidify your grasp of Hadoop MapReduce by creating your own MapReduce job.

Browse courses on Hadoop

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Identify a real-world problem that can be solved using Hadoop MapReduce.
Design your MapReduce job, including the mapper and reducer functions.
Implement your MapReduce job using a suitable programming language.
Run your MapReduce job on a Hadoop cluster.

Develop a presentation on Big Data applications

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Consolidate your knowledge of Big Data by researching and presenting on its practical applications in various industries

Browse courses on Big Data Applications

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Research and identify specific industries where Big Data has a significant impact
Gather case studies and examples of successful Big Data implementations
Create a presentation that showcases the benefits, challenges, and real-world examples

Kaggle Big Data Competition

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Put your Big Data and AI skills to the test by participating in a Kaggle competition.

Browse courses on Big Data

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Identify a Kaggle competition that aligns with your interests.
Team up with fellow students or work independently to develop a solution.
Submit your solution to the competition.

Solve NoSQL data modeling challenges

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Reinforce your grasp of NoSQL data modeling principles by tackling real-world data modeling scenarios

Browse courses on Database Design

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Find online resources or platforms that provide NoSQL data modeling exercises
Select a data modeling challenge and analyze the requirements
Design a NoSQL data model that meets the challenge's specifications

Contribute to an open-source AI project

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Apply your knowledge and make a meaningful contribution to the field of AI by volunteering on an open-source project

Browse courses on Community Involvement

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Research and identify open-source AI projects that align with your interests
Contact the project maintainers and express your desire to contribute
Review the project codebase, documentation, and contribution guidelines

Career center

Learners who complete A quick tour on Big Data and Business Intelligence will develop knowledge and skills that may be useful to these careers:

Big Data Engineer

Big Data Engineers design and manage Big Data systems, ensuring efficient and reliable data storage and processing. This course may be useful for those looking to become Big Data Engineers, as it provides an understanding of Big Data basics, Hadoop, and NoSQL Systems.

See salaries and explore the career path for Big Data Engineer

Data Engineer

Data Engineers build and maintain data pipelines, ensuring that data is collected, processed, and stored efficiently. This course, with its coverage of Hadoop Tools and NoSQL Systems, may be useful for those aspiring to become Data Engineers.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course, with its overview of Big Data basics and AI building blocks, may be useful for those seeking to become Data Analysts.

See salaries and explore the career path for Data Analyst

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and implement AI systems. This course, with its coverage of AI building blocks and NoSQL Systems, may be useful for those aspiring to become Artificial Intelligence Engineers.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Architect

Data Architects design and manage data systems, ensuring that data is accessible, reliable, and secure. This course may be useful for those looking to become Data Architects, as it provides an overview of Big Data and NoSQL Systems.

See salaries and explore the career path for Data Architect

Big Data Analyst

A Big Data Analyst focuses on examining large and complex data sets using advanced analytics techniques to uncover patterns and insights. This course, with its overview of Big Data basics, Hadoop, and NoSQL Systems, may be useful for professionals looking to enter this field by providing a foundation in core concepts.

See salaries and explore the career path for Big Data Analyst

Data Scientist

Data Scientists leverage advanced statistical and machine learning methods to extract meaningful insights from data, often for business intelligence purposes. This course can help those aspiring to become Data Scientists by providing an understanding of Big Data and AI building blocks.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts use data analysis and visualization tools to help businesses make informed decisions. This course can be useful for those seeking to become Business Intelligence Analysts, as it provides an overview of Big Data and business intelligence.

See salaries and explore the career path for Business Intelligence Analyst

Database Architect

Database Architects design and manage database systems, ensuring that data is accessible, reliable, and scalable. This course, with its coverage of NoSQL Systems, AI, and Hadoop, may be useful for those looking to become Database Architects.

See salaries and explore the career path for Database Architect

Database Administrator

Database Administrators are responsible for managing and maintaining databases, ensuring data integrity and availability. This course may be helpful for aspiring Database Administrators by providing an understanding of Big Data and NoSQL Systems.

See salaries and explore the career path for Database Administrator

Chief Technology Officer (CTO)

Chief Technology Officers (CTOs) are responsible for the overall technology strategy and direction of an organization. This course may be useful for those looking to become CTOs, as it provides a broad overview of Big Data and business intelligence.

See salaries and explore the career path for Chief Technology Officer (CTO)

Information Systems Manager

Information Systems Managers plan and manage information systems, ensuring that they meet the needs of the business. This course may be useful for those looking to become Information Systems Managers, as it provides an overview of Big Data and business intelligence.

See salaries and explore the career path for Information Systems Manager

Information Security Analyst

Information Security Analysts protect information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for those looking to become Information Security Analysts, as it provides an overview of Big Data and AI, which are increasingly being used in information security.

See salaries and explore the career path for Information Security Analyst

IT Manager

IT Managers plan and manage information technology systems, ensuring that they meet the needs of the business. This course may be useful for those looking to become IT Managers, as it provides an overview of Big Data and business intelligence.

See salaries and explore the career path for IT Manager

Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for those interested in becoming Software Engineers, as it provides an overview of Big Data and AI, which are increasingly being used in software development.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in A quick tour on Big Data and Business Intelligence.

Hadoop: The Definitive Guide

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Hadoop serves as a valuable reference for learning about Hadoop and other related technologies. It is commonly used in academic institutions and industry for its comprehensiveness on the topic.

Hadoop: The Definitive Guide: Storage and Analysis...

Paperback

Hadoop: The Definitive Guide

Kindle Edition

Hadoop: The Definitive Guide

Paperback

Hadoop: The Definitive Guide

Paperback