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IBM Data Topology

Mike Hervey and Paul Christensen

Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete. But moving to the latest technology in a monolithic architecture is a tempting solution that can be expensive and cause more problems than it solves. In this course, you learn how to meet the needs of all your data consumers through the construction of a modern logical topology that helps you optimize data flow.

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What's inside

Syllabus

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Helps learners optimize data flow through a modern logical topology

Teaches IBM DataFirst Data Topology, an industry-recognized framework

Relevant for executives and administrators facing data challenges

Provides insights into overcoming data modernization obstacles

Taught by Mike Hervey and Paul Christensen, experienced industry professionals

Requires prior knowledge of data management concepts

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Reviews summary

Ibm data topology: strategic data architecture

Learners say IBM Data Topology provides a strong conceptual and strategic understanding of modern data architecture, proving highly relevant to current industry challenges like multicloud and AI. Students appreciate its ability to break down complex topics into digestible modules and offer a clear foundational perspective. However, a significant number of students found the course to be too theoretical, with minimal hands-on exercises, leading some to seek supplemental resources for practical application. Concerns were also raised about the dry delivery of some lectures. It's largely seen as ideal for experienced professionals and architects focused on strategic insights rather than deep technical implementation.

Best suited for those with existing knowledge in data architecture and IT strategy.

"Assumes a lot of prior knowledge and doesn't bridge the gap effectively for those transitioning into data architecture."

"It's more suited for managers or those looking for a conceptual overview rather than deep technical implementation."

Highly relevant, addressing modern challenges like multicloud and AI.

"Very relevant to current industry trends."

"As someone working in data governance, the sections on compliance and multicloud environments were particularly insightful."

Offers a strong conceptual and strategic understanding of data topology.

"This course provided a very good foundational understanding of data topology principles."

"Excellent course for understanding the big picture of data topology within enterprise environments."

"As an enterprise architect, this course validated many of my existing thoughts and introduced me to new perspectives..."

Some reviewers found the lectures to be dry and challenging to engage with.

"The lectures were incredibly dry, and I found it hard to stay engaged."

"While the topic is important, the delivery made it tedious."

Emphasizes theory and strategy, with less hands-on implementation.

"The content is decent, covering modern data challenges. However, it felt a bit too theoretical for me. I was hoping for more practical examples..."

"The course content was very academic and theoretical. It lacked practical application examples or real-world scenarios."

"Good conceptual course, but the exercises were minimal. It feels like an introduction rather than something that fully equips you..."

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 IBM Data Topology with these activities:

Review 'Data Science for Business'

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Gain insights into the practical applications of data science in business contexts by reviewing this book, which provides a comprehensive overview of the field.

View Data Science for Business: What You Need to... on Amazon

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Read and summarize key chapters
Identify and discuss industry case studies

Review core data science concepts

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Review fundamental data science concepts such as data collection, cleaning, analysis, and visualization to strengthen your foundation.

Browse courses on Data Science

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Review data collection techniques
Practice data cleaning and preparation
Explore data analysis methods
Experiment with data visualization tools

Solve data analysis exercises

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Engage in hands-on practice by solving data analysis exercises using Python or other programming languages to enhance your data manipulation skills.

Browse courses on Data Analysis

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Identify and solve data analysis problems
Apply data manipulation techniques
Implement statistical and analytical methods

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Build a data science resource collection

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Compile a comprehensive collection of data science resources, including articles, tutorials, datasets, and tools, to support your ongoing learning and exploration.

Browse courses on Data Science

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Identify and gather relevant resources
Organize and categorize the resources
Share your collection with others

Join a data science study group

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Engage with fellow data enthusiasts in a study group, discussing concepts, sharing knowledge, and working on projects together to enhance your understanding and collaboration skills.

Browse courses on Data Science

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Identify or form a study group
Establish meeting times and agenda
Discuss course materials and case studies
Collaborate on projects or assignments

Develop a data visualization dashboard

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Create an interactive data visualization dashboard to showcase your understanding of data presentation and communication, solidifying your ability to convey insights effectively.

Browse courses on Data Visualization

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Gather and analyze data
Design and implement visualizations
Create interactive features
Present and share your dashboard

Explore advanced data analysis techniques

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Expand your knowledge by exploring advanced data analysis techniques such as machine learning and deep learning through online tutorials, deepening your understanding of data-driven decision-making.

Browse courses on Machine Learning

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Identify and research advanced techniques
Follow guided tutorials and workshops
Implement techniques on real-world datasets

Attend a data science hackathon

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Put your skills to the test in a data science hackathon, collaborating with others to solve real-world problems and gain valuable hands-on experience.

Browse courses on Data Science

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Identify a suitable hackathon
Form a team and develop a solution
Present your findings

Career center

Learners who complete IBM Data Topology will develop knowledge and skills that may be useful to these careers:

Data Governance Analyst

Data Governance Analysts are responsible for developing and implementing policies and procedures to ensure that an organization's data is used in a consistent and ethical manner. They work with business stakeholders to understand their needs and then develop and implement policies and procedures that meet those needs. This course will help you build a foundation in data governance and provide you with the skills you need to develop and implement policies and procedures that ensure that an organization's data is used in a consistent and ethical manner.

See salaries and explore the career path for Data Governance Analyst

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models. They work with business stakeholders to understand their needs and then develop and deploy models that meet those needs. This course will help you build a foundation in machine learning and provide you with the skills you need to develop and deploy machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for using data to solve business problems. They work with business stakeholders to identify the problems that need to be solved and then develop and implement solutions using data. This course will help you build a foundation in data science and provide you with the skills you need to use data to solve business problems.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They work with business stakeholders to understand their needs and then develop and deliver reports and dashboards that provide insights into the data. This course will help you build a foundation in data analysis and provide you with the skills you need to collect, clean, and analyze data to identify trends and patterns.

See salaries and explore the career path for Data Analyst

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. They work with both teams to ensure that software is developed and deployed efficiently and securely. This course will help you build a foundation in DevOps and provide you with the skills you need to bridge the gap between development and operations teams.

See salaries and explore the career path for DevOps Engineer

Cloud Architect

Cloud Architects are responsible for designing and building cloud-based solutions for organizations. They work with business stakeholders to understand their needs and then design and build solutions that meet those needs. This course will help you build a foundation in cloud architecture and provide you with the skills you need to design and build cloud-based solutions.

See salaries and explore the career path for Cloud Architect

Database Administrator

Database Administrators are responsible for managing and maintaining an organization's databases. They work with database users to understand their needs and then configure and maintain databases that meet those needs. This course will help you build a foundation in database administration and provide you with the skills you need to manage and maintain databases.

See salaries and explore the career path for Database Administrator

Data Visualization Specialist

Data Visualization Specialists are responsible for creating visual representations of data. They work with business stakeholders to understand their needs and then create visualizations that communicate insights from the data. This course will help you build a foundation in data visualization and provide you with the skills you need to create visual representations of data.

See salaries and explore the career path for Data Visualization Specialist

Business Intelligence Analyst

Business Intelligence Analysts are responsible for analyzing data to identify trends and patterns that can help businesses make better decisions. They work with business stakeholders to understand their needs and then develop and deliver reports and dashboards that provide insights into the data. This course will help you build a foundation in business intelligence and provide you with the skills you need to analyze data and identify trends and patterns.

See salaries and explore the career path for Business Intelligence Analyst

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. They work with business stakeholders to understand their needs and then design and develop applications that meet those needs. This course will help you build a foundation in software engineering and provide you with the skills you need to design, develop, and maintain software applications.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that supports an organization's data systems. They work with Data Architects to design and build systems that meet the needs of the business. This course will help you build a foundation in data engineering and provide you with the skills you need to build and maintain data systems that are efficient, scalable, and secure.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects are responsible for designing, building, and maintaining the architecture of an organization's data systems. They work with business stakeholders to understand their data needs and then design systems that meet those needs. This course will help you build a foundation in data architecture and provide you with the skills you need to design and build data systems that are efficient, scalable, and secure.

See salaries and explore the career path for Data Architect

Information Security Analyst

Information Security Analysts are responsible for protecting an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with business stakeholders to understand their security needs and then develop and implement security measures that meet those needs. This course will help you build a foundation in information security and provide you with the skills you need to protect an organization's data.

See salaries and explore the career path for Information Security Analyst

Systems Administrator

Systems Administrators are responsible for managing and maintaining an organization's computer systems. They work with system users to understand their needs and then configure and maintain systems that meet those needs. This course will help you build a foundation in systems administration and provide you with the skills you need to manage and maintain systems.

See salaries and explore the career path for Systems Administrator

Network Administrator

Network Administrators are responsible for managing and maintaining an organization's computer networks. They work with network users to understand their needs and then configure and maintain networks that meet those needs. This course will help you build a foundation in network administration and provide you with the skills you need to manage and maintain networks.

See salaries and explore the career path for Network Administrator

Reading list

We've selected 14 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 IBM Data Topology.

Doing Data Science

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Provides a practical guide to doing data science, making it a useful resource for anyone interested in learning more about the field.

IBM Data Topology

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What's inside

Syllabus

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Reviews summary

Ibm data topology: strategic data architecture

Activities

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Reading list

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