Data Lake, Lakehouse, Data Warehouse Fundamentals in 60 mins
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 fundamentals course provides a structured yet flexible learning experience, equipping you with the essential knowledge and skills to excel in these highly sought-after domains.
The course takes a breadth-first approach, introducing learners to the evolving landscape. It does not contain any deep dives with specific APIs! Data architecture has no silver bullets, so please don't expect one from the course as well.
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 for cloud offerings and services.
A fundamentals-driven framework to tackle the constantly changing cloud ecosystem.
Questions Fundamentals-driven framework can answer better:
What will be the complexity involved in moving from a Snowflake data warehouse to a Databricks data lakehouse?
How will the cloud costs increase over the next 5 years if moving from an on-premise HDFS to an AWS data lake?
What to buy and what to build when considering a data platform for an enterprise?
Is cloud-based data storage always cheap or does it introduce additional cost centers?
What is the difference between data fabric and data mesh?
When is the data management platform ready for prescriptive analytics?
Why is cost calculation for the cloud complex?
Does Kubernetes solve all problems around infrastructure management?
Why knowing only Python is not enough for building data science solutions?
What is cloud storage and why it is crucial in modern solutions?
Who should take this course:
Technical leaders shaping the digital transformation for domain-driven enterprise
Architects and solution architects seek a more straightforward 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
Instructor
- 4.3 Instructor Rating
- 900 Reviews
- 103,584 Students
- 10 Courses
About Instructor
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As a professional programmer with close to 20 years of experience, I have a Master of Science degree in Electrical Engineering (Major: Statistical Signal Processing).
I have worked in various domains and products including Databases, Map Making, and Digital Cinema Distribution.
Some of my key technical areas of work include Databases, Networking, Algorithms, Performance, Kubernetes, and Optimization.
Languages: C++, Java, Scala, Python, GoLang
Navigating the Dynamic World of Software Engineering
In the courses, I'll be guiding you through the ever-evolving landscape of software engineering, a field that has become increasingly dominant over the past few decades. This industry is dynamic and fast-paced, which can often make it challenging to navigate your career effectively.
In our journey together, we'll explore the realities of a career in software engineering. We understand that committing to a career path, especially in a field as turbulent as software engineering, is akin to taking a 30-year mortgage. It's a long-term investment, and our course is designed to ensure that your investment is a wise one.
We'll delve into critical discussions about the longevity and sustainability of a career in software engineering. Our content is tailored to help you determine how long you can thrive in this industry, and more importantly, whether you want to. If not, we'll work together to chart a well-thought-out exit strategy.
The software engineering industry has shown its brutal side, especially in the wake of the pandemic, with many facing remote hires followed by sudden layoffs. This course will prepare you for the harsh realities of the business world and the inevitable impact of artificial intelligence on job security.
Our approach is unique: we focus on equipping you with the skills to ask the right questions rather than merely searching for answers. The quality of search results has diminished over time, and the abundance of information often leads to confusion rather than clarity. We emphasize critical thinking and fact-checking to ensure that you make informed decisions about your career.
In the courses, we will also address the crucial aspect of avoiding burnout and strategically planning for your retirement. Our goal is to provide you with the tools and knowledge to navigate the software engineering industry without sacrificing your well-being.
If you resonate with this approach and are seeking guidance and insights into the world of software engineering, this course is for you. Subscribe to join us on this enlightening journey, where we strive to make your career in software engineering not just successful, but also sustainable and fulfilling. Welcome aboard!