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AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 2 Storage and Data Management

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Noah Gift

21:16

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  • 01. Int.mp4
    01:19
  • 02. One.mp4
    01:44
  • 03. Ser.mp4
    01:56
  • 04. Pro.mp4
    01:20
  • 05. Wat.mp4
    01:16
  • 06. Usi.mp4
    04:56
  • 07. Var.mp4
    01:57
  • 08. Bui.mp4
    06:48
  • Description


    The AWS Certified Data Analytics credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty certification validates expertise in using AWS data lakes and analytics services to get insights from data. In this course, Noah Gift focuses on the second domain of the exam: Storage and Data Management. Mapping the course to the DAS-C01 exam, Noah shows you how to: determine the operational characteristics of the storage solution for analytics; determine data access and retrieval patterns; select appropriate data layout, schema, structure, and format; define data lifecycle based on usage patterns and business requirements; and determine the appropriate system for cataloging data and managing metadata.

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    Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 8
    • duration 21:16
    • English subtitles has
    • Release Date 2023/05/08