Data Architecture 101 for Data Science in AI driven 2024

What you'll learn
Fundamentals about Data Lake, Data Lakehouse, Data Warehouse and consideration when using them in Data Science Solutions
Basics about Data Fabric and Data Mesh and mapping them to Data Science use case
General Challenges in building data science solutions using infrastructure products.
Absolute fundamentals of computer science mapped to infrastructure products to understand cloud computing costs.
Jargon and buzz words free precise mapping of fundamentals to data technology products.
Course does NOT provide any step by step API based tutorials for any product or tool.
Requirements
Absolute basic understanding of comptuing expected like memory, CPU, network as black boxes.
No programming experience needed.
Description
In today's data-driven world, data architecture and data science have emerged as transformative forces, empowering organizations to harness the power of information for unparalleled insights, innovation, and competitive advantage. This comprehensive Udemy course provides a structured yet flexible learning experience, equipping you with the essential knowledge and skills to excel in these highly sought-after domains.
Unravel the Fundamentals of Data Architecture
Delve into the intricacies of data architecture, the cornerstone of effective data management and utilization. Gain a functional understanding of data tools like data lake, and data lakehouse, and methods like data fabric, and data mesh, enabling you to design and implement robust data architectures that align with organizational goals.
Cost Optimization mindset
Learn to map everything to absolute fundamentals to keep a check on infrastructure costs. Understand the value of choosing optimal solutions from the long-term perspective. Master the art of questioning the new products from a value creation perspective instead of doing a resume-driven development.
Navigate the Complexities of Hybrid Cloud Management
As organizations embrace hybrid cloud environments, managing the diverse landscapes of cloud and on-premises infrastructure becomes increasingly complex. This course equips you with the basic strategies and ideas to navigate these complexities effectively.
Address the Challenges of Hiring and Retaining Data Science Talent
In the face of a global shortage of skilled data science professionals, attracting and retaining top talent is a critical challenge for organizations. This course delves into data science talent acquisition dynamics, providing practical strategies to identify, attract, and nurture top talent. Learn to create a data-driven culture that values continuous learning and innovation, fostering an environment where data scientists thrive and contribute to organizational success.
Overcome the Pitfalls of Outsourcing for Digital Transformation
While outsourcing can be a valuable tool for digital transformation initiatives, it also presents unique challenges. This course equips you with the knowledge and strategies to navigate these challenges effectively.
Key takeaways
Master the fundamentals of data architecture necessary to build a robust solution for any use case including data science.
Learn the need for strategies for hybrid cloud management, optimizing network performance, implementing unified security policies, and leveraging cloud-based backup and disaster recovery solutions
Understand the various permutations of infrastructure tools being presented for cloud offerings and services.
A fundamentals driven framework to tackle the constantly changing cloud ecosystem.
Who should take this course
Technical leaders shaping the digital transformation for domain-driven enterprise
Architects and solution architects seek a simpler vocabulary to communicate with nontechnical leaders.
Aspiring data architects seeking to establish a strong foundation in data architecture principles and practices
Data scientists seeking to enhance their skills and stay up-to-date with the latest advancements in architecture
IT professionals involved in data management, data governance, and cloud computing
Business professionals seeking to understand the impact of data architecture and data science on their organizations
Who this course is for
Technical leaders adopting cloud in domain driven organizations
Executives seeking a big picture understanding of the cloud tranformation challenges of Data Science Adoption
Architectes and Solution Architects seeking pivots for explanining solutions to non technical audience
Infrastructure Engineers seeking a clear mapping between costs and fundamental infrastructure
Software professionals curious to explore the data landscape for career growth
Homepage

https://www.udemy.com/course/data-architecture-101-for-data-science/