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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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Syllabus

IBM DataFirst Data Topology
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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 course

Learners say that IBM's Data Topology course is well received. It is comprehensive, well-taught, and effective in providing information about designing a data topology.
All reviews for this course are positive.
"Super course"
"Excellent Topic"
"Excellent and well presented!"
"Comprehensive, well taught, lays out nice approach to get a handle on complex topic"
"Very good course on data flow architecture with proper framework and methodology talked "
"Effective information about designing a data topology, that is highly scalable across projects and organisations."

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'
Gain insights into the practical applications of data science in business contexts by reviewing this book, which provides a comprehensive overview of the field.
Show steps
  • Read and summarize key chapters
  • Identify and discuss industry case studies
Review core data science concepts
Review fundamental data science concepts such as data collection, cleaning, analysis, and visualization to strengthen your foundation.
Browse courses on Data Science
Show steps
  • Review data collection techniques
  • Practice data cleaning and preparation
  • Explore data analysis methods
  • Experiment with data visualization tools
Solve data analysis exercises
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
Show steps
  • Identify and solve data analysis problems
  • Apply data manipulation techniques
  • Implement statistical and analytical methods
Five other activities
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Show all eight activities
Build a data science resource collection
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
Show steps
  • Identify and gather relevant resources
  • Organize and categorize the resources
  • Share your collection with others
Join a data science study group
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
Show steps
  • 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
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
Show steps
  • Gather and analyze data
  • Design and implement visualizations
  • Create interactive features
  • Present and share your dashboard
Explore advanced data analysis techniques
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
Show steps
  • Identify and research advanced techniques
  • Follow guided tutorials and workshops
  • Implement techniques on real-world datasets
Attend a data science hackathon
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
Show steps
  • 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
Provides a practical guide to doing data science, making it a useful resource for anyone interested in learning more about the field.
A seminal book by one of the pioneers in the field of data warehousing. It can provide a deeper understanding of the basics of data management that can be helpful throughout IBM's Topology course.
Can provide attendees of IBM's Topology course with a solid introduction to this approach to data processing.
If you are interested in a book that covers the fundamentals of data management, this is an excellent choice. assumes foundational concepts are new to the reader, which makes it useful for preparation of study in this course or as supplemental reading.
A very basic overview of the fundamentals of data management and a review of some of the associated techniques and technologies. can provide some background that good springboard into IBM's Topology course.

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