Master Course : Data Lakehouse Fundamentals in Data Science

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Dr. José J

49:41

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1 - Master Course Data Lakehouse Fundamentals in Data Science Lectures

1 - Understanding Data Lakehouse Architecture.mp4

17:40

2 - Comparing Data Lakehouse vs Other Data Architectures.mp4

06:49

3 - Practical Use Cases for Data Lakehouse.mp4

06:54

4 - Evaluating Data Architecture Needs and Fit.mp4

04:51

5 - Implementing Data Lakehouse Best Practices and Challenges.mp4

06:33

2 - Additional Lecture Data Architecture of Business and Business Intelligence

6 - Data Architecture of Business and Business Intelligence.mp4

06:54

Description

Data Lakehouse, Data Science, Big Data, Data Warehouse, Data Analysis, Data Architecture, Data Management, Databases

What You'll Learn?

Gain a deep comprehension of data lakehouse principles and components.
Learn to design and deploy data lakehouse architectures effectively.
Analyze and contrast data lakehouse with traditional data warehousing and data lakes.
Evaluate the advantages and limitations of data lakehouse in diverse data scenarios.
Explore real-world applications of data lakehouse in industries like e-commerce, healthcare, and finance.
Develop strategies for leveraging data lakehouse to solve specific business challenges.
Assess organizational requirements to determine if a data lakehouse architecture is the right choice.
Understand the factors influencing the suitability of data lakehouse for various data management scenarios.
Implement data lakehouse best practices for data ingestion, storage, and analytics.
Identify and address common challenges and pitfalls during data lakehouse adoption.

Who is this for?

All UG and PG Business systems, Information technology & Computer science Students

Interested students to learn about the concepts of Data Lakehouse Fundamentals in Data Science

What You Need to Know?

Basic skills and ideas of data architecture and data management skills

More details

Description
Master Course: Data Lakehouse Fundamentals in Data Science
Unlocking the Power of Data Lakehouses for Effective Data Analysis
In today's data-driven world, organizations are constantly seeking innovative ways to harness the potential of their data. Data science has emerged as a crucial field, enabling businesses to gain valuable insights and make informed decisions. At the heart of this transformation is the concept of a data lakehouse, which has revolutionized the way data is stored, processed, and analyzed. In this master course, we will delve deep into Data Lakehouse Fundamentals in Data Science, equipping you with the knowledge and skills to thrive in the world of modern data analysis.
Why Data Lakehouses Matter
Data lakehouses have gained significant traction in recent years due to their ability to seamlessly integrate the best features of data lakes and data warehouses. They serve as a unified platform where data of various types and formats can be ingested, stored, and processed efficiently. This course will explore the importance of data lakehouses in the context of data science and analytics, emphasizing their role in enabling data democratization, scalability, and cost-efficiency.
In the era of big data, mastering data lakehouse fundamentals is essential for anyone pursuing a career in data science or data engineering. This master course provides a comprehensive and practical approach to understanding and implementing data lakehouses, setting you on a path to becoming a data expert. Embrace the power of data lakehouses and unlock the true potential of your data. Enroll now and embark on a transformative journey into the world of modern data science.
In this master course, I would like to teach the 5 major topics:
1. Understanding Data Lakehouse Architecture:
2. Comparing Data Lakehouse vs. Other Data Architectures:
3. Practical Use Cases for Data Lakehouse:
4. Evaluating Data Architecture Needs and Fit:
5. Implementing Data Lakehouse: Best Practices and Challenges:
Enroll now and learn today !
Who this course is for:
All UG and PG Business systems, Information technology & Computer science Students
Interested students to learn about the concepts of Data Lakehouse Fundamentals in Data Science

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Achievements on Udemy: "375,000 Enrollments + 184 Countries + 52 Courses of Business, General Management, IT, Software and Systems, Education and Media Studies"Teaching Experience :Award Winning Researcher and Professor Dr. José is a Senior Researcher, Professor and subject matter expert of Business, IT, Systems and Media Studies at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China and Honorary and Visiting Professor of NGCEF Australia, ISCIP Canada and Judge of Global Forum on Business Case Study who is an accomplished expert on digital transformation and innovation featuring large enterprises and strategies of startups in digital platform ecosystems.Instructional Design and Curriculum Development Experience :He Designed and Developed more than 5 Specialized Post Graduate Master Degree course for International Business School - Beijing Foreign Studies University (IBS - BFSU). His core expertise is in the area of corporate entrepreneurship, organizational innovation, and learning. Dr. José has a rich mix of teaching and industry experience (More than 15+ Years) working as a business and IT consultant to over 20 very successful start-up businesses along with strategic planning, Digital and IT management support for Global clients. He designed, developed and hosted more than 200+ Corporate Business Websites since 2007 and received more than 10 awards for his enormous graphic and web design works.Interests of Teaching Topics :He has conducted, handled and supervised more than 10,000 students since 2007 and major training sessions for UG, PG Master Degree graduates covering Entrepreneurship Development, Business Management, Human Resource Development, Marketing, Digital Marketing, Financial Markets, Economics, Statistics, Education, Psychology, Personal Development, Multimedia, Information Technology, Software Certification Courses of Microsoft, Oracle, IBM, Cisco, Amazon, Salesforce and Network Security and Cloud Systems. Regular Keynote Speaker of AEIC China and Whither Our Economies (WoE) Lithuania and currently he is guiding 5 Ph.D. Scholars for Business Administration, Computer Science and IT Domains.Certifications, Research and Publications :He is an International Faculty and completed more than 30+ Software, IT and Business Certifications which Includes Brainbench, Adobe, Autodesk, Microsoft, Amazon AWS, IBM Statistics 101, Cisco Network Academy, Kaya Connect London, Cornerstone OnDemand Foundation, Google, UNICEF and UNESCO. He is an Editor of Science Direct PLAS Journal and certified reviewer of Elsevier, Clarivate, Wiley, Science Direct, Springer Nature and IOP Publishers. He published more than 50 research and review articles and 8-12 solo-authored full case studies have been published under his name along with 4 Book chapters and numerous book reviews for international independent book publishers in Germany. He has published more than 10 Research Articles in the WoS & Scopus Listings. Google Scholar Citation 50+, and Research Gate Score is 212.7 with 30+ Citation and 50000+ reads. European Alliance for Innovation (EAI) Score is 16. Honors’ and Awards :Top funding project writer Dr. José received, Best Ph.D. Thesis Award 2018, Distinguished Young Scientist 2017, University Topper (2011-2012), 7 Times received the FCB - Faculty Competency Building Award (2011-2018) and Mr. Perfect Award at 2008.International Memberships and Activities:He is having 35+ International academic and professional bodies’ memberships around the world which Includes IEEE, Oulu Entrepreneurship Society - Finland, Middle East Research Institute, Internatioal Entrepreneurs Association, Africa Society of Association Executives (AfSAE), Association of Strategic Marketing, National Science Teaching Association, ISPIM - International Society for Professional Innovation Management, ITPA - Information Technology Professionals Association and IAENG - Society of Operations Research and He is serving as a volunteer for Scopus, Web of Science and ABDC Indexed journal’s editorial and reviewer board member for more than 30+ Journals and reviewed 200+ articles since 2019.

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