English | 2021 | ISBN: 9781492092384 | 164 pages | PDF,EPUP | 33.68 MB
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice.

English | ASIN: B09M1P673J | 2021 | 8 hours and 25 minutes |MP3|M4B | 232 MB
In Alicia's groundbreaking book, Driven to Thrive, she reveals 10 proven strategies to excel, expand, and elevate your career and life. Drawing upon 20 years of corporate experience working in human resources leadership roles and as a high-performance executive coach and consultant, she advocates for the critical need to use emotional intelligence skills to manage your relationship with yourself and others as the game-changer to winning in work and life. We all want our work and lives to be purposeful and fulfilling. Sometimes, we need a little guidance to make the best decisions, see new possibilities, and navigate the obstacles. Driven to Thrive can be your go-to GPS to success.

English | 2021 | ISBN: 0367697300 , 978-0367697303 | 403 pages | True PDF | 26.45 MB
This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

English | 2021 | ISBN: B099QVD7KV , 979-8539687632| 50 pages | True EPUB | 231.4 KB
What if I told you there was a way to measure and optimize software delivery performance independent of any particular agile framework and to do so in a way that was empirically and mathematically based? That is the aim of this book. Using quantitative rigor combined with the principles of influence through transparency, we'll unpack an approach to software delivery that can dramatically improve the stability and predictability of your process.

Duration: 49m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 598 MB
Genre: eLearning | Language: English
Do you have a purpose, or do you just sell stuff? Best-selling author and sales leadership consultant Lisa Earle McLeod has helped hundreds of organizations harness the power of purpose to break through the noise, differentiate with customers, and drive lasting revenue growth.

Duration: 1h 18m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 949 MB
Genre: eLearning | Language: English
Many companies are shifting toward data-driven decisions for their operations, as well as their projects. In this course, project management expert Cyndi Snyder Dionisio brings together all the formulas, metrics, and related strategic thinking that you need to bring data-driven decision-making to project management. Cyndi explains that the focus of project management is evolving from outputs to outcomes, and that to measure outcomes, you need to select the appropriate metrics and KPIs. She walks you through business metrics, work metrics, schedule metrics, and more, showing you how to make effective use of each. Cyndi goes over forecasting metrics, as well as risk metrics, then covers qualitative measures, best practices, and tips on avoiding three measurement pitfalls. She concludes by breaking down the requirements so you know what you must have, should have, could have, and won't have to make the transition to data-driven project management.

English | 2022 | ISBN: 1484274679 | 457 pages | pdf, epub | 137.16 MB
In the simplest terms, event-driven architectures are like onions; they are manageable as a single layer (like a monolith) but when you get into them, they begin to cascade apart and you quickly realize that there are many complex layers (distributed microservices architecture). And that's when the tears begin.

English | 2021 | ISBN: 1098100131 | 340 pages | True PDF | 19.39 MB
Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practical book provides you with a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs.

English | 2021 | ISBN: 1398603260 | 441 pages | True PDF EPUB | 37.66 MB
Understand how to drive business performance with your organizational data and analytics in the second edition ofData-Driven Organization Design.

English | 2021 | ISBN: 1032058277 , 978-1032058276 | 151 pages | True PDF | 13.07 MB
This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining.