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A quick tour on Big Data and Business Intelligence

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
Read more
Hadoop Tools
Getting familiar with the following tools by attending the lessons and solving small case studies
NoSQL Systems and AI
Getting familiar with the No SQL paradigm and AI building blocks by attending the lessons and designing basic solutions

Good to know

Know what's good
, what to watch for
, 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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Activities

Coming soon We're preparing activities for A quick tour on Big Data and Business Intelligence. These are activities you can do either before, during, or after a course.

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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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 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.
Widely-used textbook that provides a comprehensive overview of speech and language processing.
Offers a comprehensive introduction to computer vision algorithms and applications.
Useful reference tool for individuals interested in learning about the strategic planning and enterprise integration aspects of big data analytics.
Serves as a comprehensive guide to dimensional modeling, a key concept in data warehousing.
Data Science for Business provides a comprehensive overview of data science techniques and their applications in business contexts.

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