Category: Databases & Big Data

Databases & Big Data

The Definitive Guide to Power Query (M) 0

The Definitive Guide to Power Query (M)

eBook Details: Paperback: 758 pages Publisher: WOW! eBook (March 29, 2024) Language: English ISBN-10: 1835089720 ISBN-13: 978-1835089729 eBook Description: The Definitive Guide to Power Query (M): Mastering Complex Data Transformation with Power Query. Learn how to use the Power Query M formula language and its functions effectively for better data modeling and impactful business intelligence reports. Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it. The...

The Complete Power BI Interview Guide 0

The Complete Power BI Interview Guide

eBook Details: Paperback: 482 pages Publisher: WOW! eBook (April 5, 2024) Language: English ISBN-10: 1805120670 ISBN-13: 978-1805120674 eBook Description: The Complete Power BI Interview Guide: Build your career in data analytics with this ultimate guide to excelling as a Power BI professional Elevate your profile presentation with standout techniques Navigate the Power BI job market strategically for job hunting success Cultivate essential soft skills for career growth Explore the complete analytics development cycle in Power BI Master key Power BI development concepts in core areas Gain insights into HR interviews, salary negotiations, and onboarding procedures In our increasingly data-driven world, the demand...

Generative AI for Cloud Solutions 0

Generative AI for Cloud Solutions

eBook Details: Paperback: 300 pages Publisher: WOW! eBook (April 22, 2024) Language: English ISBN-10: 1835084788 ISBN-13: 978-1835084786 eBook Description: Generative AI for Cloud Solutions: Architect modern AI LLMs in secure, scalable, and ethical cloud environments. Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI. Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore...

The Machine Learning Solutions Architect Handbook, Second Edition 0

The Machine Learning Solutions Architect Handbook, Second Edition

eBook Details: Paperback: 602 pages Publisher: WOW! eBook (April 15, 2024) Language: English ISBN-10: 1805122509 ISBN-13: 978-1805122500 eBook Description: The Machine Learning Solutions Architect Handbook, 2nd Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI. Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS. David Ping, Head of GenAI and ML Solution Architecture at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You’ll learn about ML algorithms, cloud infrastructure, system design, MLOps,...

Software Engineering for Data Scientists 0

Software Engineering for Data Scientists

eBook Details: Paperback: 400 pages Publisher: WOW! eBook (May 28, 2024) Language: English ISBN-10: 1098136209 ISBN-13: 978-1098136208 eBook Description: Software Engineering for Data Scientists: From Notebooks to Scalable Systems Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this Software Engineering for Data Scientists guide covers the essential topics that are often missing from introductory data science or coding classes, including how to: Understand data structures and object-oriented programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger code...