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Managing Data in a Multi-Cloud World

How to oversee, move, and access data across cloud environments

Melvin Greer

Multi-cloud environments can drive agility, but only if cloud data management and data protection are part of the strategy. In order to accelerate business growth, today’s cloud engineers and IT leaders need to manage data assets across cloud and on-premise environments. Organizations are demanding that data be readily available, whether it’s in a cloud, across clouds, or on-premise.

This course provides a blueprint for senior business leaders who need to harness distributed data to transform their business. This material gives IT professionals the insights required to know what data should be stored, used, and available from which cloud option. Completing this course will give you tools for rapid data recovery options and workloads stored in multiple clouds. Managing data in a multi-cloud world is a business imperative and this course will help you make the leap to data management via multi cloud, while getting the benefits.

What you'll learn-and how you can apply it

By the end of this live, hands-on, online course, you’ll understand:

  • How to move, manage, and use data across multiple clouds across cloud environments
  • Insights on new country-specific data handling regulations
  • Best practices for maximizing data flexibility in a multi-cloud environment

And you’ll be able to:

  • Achieve a successful data management capability via a multi-cloud model to reduce cost, improve agility and improve customer satisfaction
  • Design and implement multi-cloud data governance that provides increased insight
  • Enhance and improve data portability and interoperability across cloud environments

This training course is for you because...

  • You’re a Cloud Computing Architect, Cloud Engineer, Data Architect or an IT Professional who needs to know what data should live in which cloud type or cloud storage option
  • You are a senior executive who needs to harness the power of data to transform the business via cloud computing
  • You work with teams looking to leverage advanced information technology capabilities (i.e. big data analytics, artificial intelligence, cloud computing, machine learning, blockchain, etc.)
  • You want to become a Cloud Computing Architect, Cloud Engineer or Data Architect

Prerequisites

  • Experience operating in an industry vertical as a manager or executive
  • Experience leveraging cloud computing deployment and service models to deliver products and/or services
  • General knowledge of internet and web related technologies

Recommended preparation:

Recommended follow-up:

About your instructor

  • Melvin Greer is Chief Data Scientist, Americas, Intel Corporation. He is responsible for building Intel’s data science platform through graph analytics, machine learning and cognitive computing to accelerate transformation of data into a strategic asset for Public Sector and commercial enterprises. His systems and software engineering experience has resulted in patented inventions in Cloud Computing, Synthetic Biology and IoT Bio-sensors for edge analytics. He functions as a principal investigator in advanced research studies, including Nanotechnology, Additive Manufacturing and Gamification. He significantly advances the body of knowledge in basic research and critical, highly advanced engineering and scientific disciplines. Mr. Greer is a member of the American Association for the Advancement of Science (AAAS) and U.S. National Academy of Science, Engineering and Medicine, GUIRR.

    Melvin is one of the 2018 LinkedIn Top 10 Voices in data science and analytics. He also received the Washington Exec inaugural Pinnacle Award as the 2018 Artificial Intelligence Executive of the Year. Melvin received the 2017 BDPA Lifetime Achievement Award and the 2012 BEYA Technologist of the Year Award, which recognized his outstanding technical contributions that have had a material impact and high value to society as a whole. Melvin Greer has been appointed Fellow of the National Cybersecurity Institute where he assists government, industry, military, and academic sectors meet the challenges in cyber security policy, technology and education. Melvin is Professor, Master of Science in Data Science program at Southern Methodist University (SMU) and Adjunct Faculty, Advanced Academic Program at Johns Hopkins University, where he teaches the Masters of Science course “Practical Applications of Artificial Intelligence”.

    In addition to his professional and investment roles, he is Founder and Managing Director of the Greer Institute for Leadership and Innovation, focused on research and deployment of a 21st Century Leadership Model. Mr. Greer is a frequent speaker at conferences and universities and is an accomplished author; his fifth book “Practical Cloud Security a Cross Industry View” is his most recently published book.

    Melvin is a Board of Trustee at Capitol Technology University where he oversees and aligns its strategic direction, educational policy, finances and operations with the mission of the university.

    As a popular educator and board member at a number of Historical Black Colleges and Universities, Greer is leading science, technology, mathematical and engineering (STEM) research initiatives, directly trying to shape a more diverse generation of up-and-coming technical talent.

    Greer received his Bachelor of Science degree in Computer Information Systems and Technology and his Master of Science in Information Systems from American University, Wash. D.C. He also completed the Executive Leadership Program at the Cornell University, Johnson Graduate School and the Entrepreneurial Finance program at MIT Sloan School of Management.

Schedule

The timeframes are only estimates and may vary according to how the class is progressing

Developing a Multi Cloud Data Strategy (60 minutes)

  • Presentation: A multi-cloud strategy refers to how you might deploy and/or manage several cloud services and platforms based on your particular business and technology needs.
  • Exercise: Selecting the appropriate multi-cloud architecture given a key set of business data requirements.
  • Discussion
  • Q&A
  • Break (5 minutes)

Making Multi Cloud Data Management Simple (60 minutes)

  • Presentation: There are important data management benefits with a multi-cloud strategy, and using these techniques can help you simplify the added complexity: Data Visibility and Protection, Migration Enablement, and Data Regulation/Compliance.
  • Exercise: Identify appropriate data strategy based on cloud location and applicable regulation and compliance guidelines.
  • Discussion
  • Q&A
  • Break (5 minutes)

Lessons Learned, Avoiding Common Mistakes (60 minutes)

  • Presentation: In the excitement to start reaping the benefits, there are common mistakes that enterprises make by jumping into a multi-cloud strategy too quickly. We will discuss three things to avoid.
  • Exercise: Identify three key aspects to consider before making the leap to data management across multi cloud.
  • Discussion
  • Q&A