Ultimate Generative Ai Solutions On Google Cloud
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Ultimate Generative Ai Solutions On Google Cloud
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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-29
Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.
TAGLINE Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! KEY FEATURES ● Step-by-step guidance for building Generative AI apps on Google Cloud Platform. ● Pro tips for fine-tuning models to achieve optimal performance. ● Industry-specific use cases for practical, hands-on learning. DESCRIPTION Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. WHAT WILL YOU LEARN ● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG. ● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives. ● Master prompt engineering techniques to enhance model performance with GCP tools. ● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run. ● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps. ● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. WHO IS THIS BOOK FOR? This book is tailored for AI practitioners, data scientists, and developers with a foundational knowledge of machine learning and experience using Google Cloud services. Familiarity with Python programming and an interest in generative AI applications will enrich your understanding and support practical implementation of the concepts. TABLE OF CONTENTS 1. Generative AI Essentials 2. Google Cloud Basics 3. Getting Started with Large Language Models 4. Prompt Engineering and Contextual Learning 5. Fine-Tuning a Large Language Model 6. Parameter-Efficient Fine-Tuning (PEFT) 7. Reinforcement Learning with Human Feedback 8. Model Optimization 9. LLMOps for Managing and Monitoring AI Projects 10. Harnessing RAG and LangChain 11. Case Studies and Real-World Implementations Index
Ultimate Generative Ai Solutions On Google Cloud
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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-12-29
Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.
Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! Key Features● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.● Pro tips for fine-tuning models to achieve optimal performance.● Industry-specific use cases for practical, hands-on learning. Book DescriptionGenerative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. What you will learn● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.● Master prompt engineering techniques to enhance model performance with GCP tools.● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. Table of Contents1. Generative AI Essentials2. Google Cloud Basics3. Getting Started with Large Language Models4. Prompt Engineering and Contextual Learning5. Fine-Tuning a Large Language Model6. Parameter-Efficient Fine-Tuning (PEFT)7. Reinforcement Learning with Human Feedback8. Model Optimization9. LLMOps for Managing and Monitoring AI Projects10. Harnessing RAG and LangChain11. Case Studies and Real-World Implementations.
Ultimate Generative Ai Solutions On Google Cloud
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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-12-29
Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.
Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! Key Features● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.● Pro tips for fine-tuning models to achieve optimal performance.● Industry-specific use cases for practical, hands-on learning. Book DescriptionGenerative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. What you will learn● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.● Master prompt engineering techniques to enhance model performance with GCP tools.● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. Table of Contents1. Generative AI Essentials2. Google Cloud Basics3. Getting Started with Large Language Models4. Prompt Engineering and Contextual Learning5. Fine-Tuning a Large Language Model6. Parameter-Efficient Fine-Tuning (PEFT)7. Reinforcement Learning with Human Feedback8. Model Optimization9. LLMOps for Managing and Monitoring AI Projects10. Harnessing RAG and LangChain11. Case Studies and Real-World Implementations.
100 Best Generative Ai Tools
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date :
100 Best Generative Ai Tools written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the era of groundbreaking technological advancements, the book "100 Best Generative AI Tools" is your passport to an exhilarating expedition through the realms of creativity, imagination, and innovation. This captivating guide unveils a curated selection of the most remarkable and transformative generative AI tools that are reshaping the landscape of human ingenuity across a multitude of industries. Unlocking the Power of Generative AI: Imagine a world where machines possess the remarkable ability to generate art, music, literature, and even entire virtual realities. In "100 Best Generative AI Tools," you'll venture into this awe-inspiring realm, where algorithms fuse with creativity to produce captivating and unprecedented results. Whether you're an artist, a musician, a writer, or an innovator, this book empowers you to harness the potential of generative AI to amplify your creative endeavors. A Treasury of Creative Possibilities: This book serves as a treasure trove of innovative generative AI tools, meticulously curated to offer a diverse and comprehensive range of applications. From producing mesmerizing visual masterpieces to composing evocative musical compositions, and from crafting compelling narratives to designing immersive virtual landscapes—each tool is a gateway to limitless creative possibilities. Behind the Algorithmic Curtain: Delve deeper into the intricate workings of these generative AI tools as you unravel the science behind the algorithms. "100 Best Generative AI Tools" deciphers complex concepts into accessible insights, making it a captivating read for both enthusiasts and those new to the field. Explore how neural networks, deep learning, and cutting-edge technology collaborate harmoniously to produce works of art that rival human creativity. Crossing Boundaries and Industries: The impact of generative AI knows no bounds, transcending industries and reshaping the way we perceive creativity. Whether you're a fashion designer pushing the boundaries of design, a game developer crafting immersive digital experiences, or a scientist generating data-driven insights, the tools showcased in this book will spark your imagination and transform your approach to innovation. Empowering Creative Minds: "100 Best Generative AI Tools" goes beyond mere description; it provides you with the tools and knowledge to unleash your creative potential. Whether you're a curious novice or an experienced artist, this book equips you with the resources to embark on a journey of experimentation, discovery, and artistic evolution. Shape the Future of Creativity: As you delve into the pages of "100 Best Generative AI Tools," you become part of a transformative movement that is redefining the boundaries of human creativity. With these tools at your fingertips, you have the power to amplify your artistic voice, challenge traditional norms, and craft a future where the fusion of AI and imagination knows no limits. Join the Creative Revolution: Are you ready to join the ranks of visionaries who are seamlessly blending art, technology, and innovation? "100 Best Generative AI Tools" is your guide to embracing the future, where the canvas of creativity knows no boundaries and the brush strokes of imagination are powered by algorithms. Step into a world where your creative potential knows no limits, and let the journey of innovation begin.
50 Key Insights For Cios Implementing Generative Ai Proven Generative Ai Best Practices
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
50 Key Insights For Cios Implementing Generative Ai Proven Generative Ai Best Practices written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The rapid advancements in artificial intelligence (AI) have revolutionized industries across the globe, creating new opportunities and transforming traditional business models. Among these advancements, Generative AI has emerged as a powerful and versatile technology, capable of generating human-like text, images, music, and more. This cutting-edge technology holds the potential to drive significant innovation, enhance efficiency, and unlock new possibilities for businesses. As Chief Information Officers (CIOs) navigate the complexities of implementing Generative AI within their organizations, they face a myriad of challenges and considerations. From understanding the technical intricacies and ethical implications to aligning AI initiatives with business goals and fostering a culture of innovation, the journey to successful AI integration is multifaceted and dynamic. "50 Key Insights for CIOs Implementing Generative AI" is a comprehensive guide designed to equip CIOs with the knowledge, strategies, and best practices necessary to harness the full potential of Generative AI. This book provides a structured approach to AI implementation, offering detailed insights into each critical aspect of the process. Whether you are at the initial stages of exploring AI or are looking to scale existing AI initiatives, this book serves as an essential resource to navigate the complexities and capitalize on the opportunities presented by Generative AI. Each chapter delves into a specific insight, providing in-depth explanations, practical advice, and real-world examples to illustrate key concepts. From fostering a culture of continuous learning and ensuring robust testing and validation to leveraging external expertise and preparing for future AI trends, the insights presented in this book cover a wide range of topics critical to successful AI implementation. By following the guidance and best practices outlined in this book, CIOs can develop and execute effective AI strategies that drive innovation, enhance operational efficiency, and deliver tangible value to their organizations. The insights provided are grounded in the latest industry trends, research, and expert opinions, ensuring that readers are equipped with up-to-date and actionable information. As you embark on the journey to integrate Generative AI into your organization, "50 Key Insights for CIOs Implementing Generative AI" will be your trusted companion, guiding you through the complexities and helping you unlock the transformative power of AI. Embrace the insights, implement the strategies, and lead your organization into a future where AI-driven innovation and success are not just possibilities, but realities.
200 Tips For Mastering Generative Ai
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
200 Tips For Mastering Generative Ai written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force with the potential to revolutionize industries and reshape our understanding of creativity and automation. From its inception, Generative AI has captured the imagination of researchers, developers, and entrepreneurs, offering unprecedented capabilities in generating new data, simulating complex systems, and solving intricate problems that were once considered beyond the reach of machines. This book, "200 Tips for Mastering Generative AI," is a comprehensive guide designed to empower you with the knowledge and practical insights needed to harness the full potential of Generative AI. Whether you are a seasoned AI practitioner, a curious researcher, a forward-thinking entrepreneur, or a passionate enthusiast, this book provides valuable tips and strategies to navigate the vast and intricate world of Generative AI. We invite you to explore, experiment, and innovate with the knowledge you gain from this book. Together, we can unlock the full potential of Generative AI and shape a future where intelligent machines and human creativity coexist and collaborate in unprecedented ways. Welcome to "200 Tips for Mastering Generative AI." Your journey into the fascinating world of Generative AI begins here.
Generative Ai For Financial Services
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Author : Vikesh Pandey
language : en
Publisher: BPB Publications
Release Date : 2024-12-02
Generative Ai For Financial Services written by Vikesh Pandey and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
DESCRIPTION Generative AI for Financial Services is a book targeted at any AI practitioner who wants to understand how generative AI works on a fundamental level and extend that learning to risks, challenges, and opportunities in regulated industries like financial services. This book explores generative AI and its applications in financial services. It starts by explaining key concepts, differences from traditional AI, and the generative AI lifecycle. Readers learn about foundation models, transfer learning, and implementation strategies, including fine-tuning and training models. Practical use cases like improving customer experiences, automating ESG analysis, and optimizing contact centers are covered. The book also addresses challenges like model bias, ethics, and compliance while focusing on building trustworthy AI with fairness and accountability. Finally, it highlights MLOps and FMOps for efficient AI model deployment and management in production environments. By the end of this book, you will be well-equipped to navigate the exciting world of generative AI and confidently apply its transformative potential within the financial services landscape. KEY FEATURES ● Evolve from a generative AI enthusiast to an advanced practitioner in generative AI. ● Learn effective ways of building generative AI solutions for financial services. ● Become familiar with the upcoming trends in generative AI space. WHAT YOU WILL LEARN ● Learn about popular use-cases, challenges, risks in financial services, and how to overcome those. ● Learn how to launch and scale generative AI applications in regulated environments like financial services, expanding from tens to thousands of use cases. ● Understand the operational aspects of AI, including MLOps and FMOps. ● Address challenges and ethical considerations in AI implementation. WHO THIS BOOK IS FOR This book is suitable for generative AI engineers, prompt engineers, ML engineers, data scientists, AI/ML, and technical leaders in financial services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Types of Foundation Models 3. Generative AI Implementation Approaches 4. Generative AI Use-cases in Financial Services 5. Generative AI Challenges for Financial Services 6. Generative AI Anti-Patterns for Financial Services 7. Architectural Considerations in Generative AI 8. Use-case: Improving Customer Experience with Generative AI 9. Use-case: Contact Center Insights with Generative AI 10. Use-case: Fine-tuning for Financial Services 11. Use case: Automating ESG Analysis Using Agents 12. Choosing the Right Implementation Approach 13. Increasing Trustworthiness in Generative AI 14. Building Foundation Model Operations Practices
Ultimate Azure Ai Services For Gen Ai Solutions
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Author : Shanthababu Pandian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-05-08
Ultimate Azure Ai Services For Gen Ai Solutions written by Shanthababu Pandian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.
TAGLINE Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! KEY FEATURES ● Step-by-step and structured content designed for beginners, intermediates, and experts alike. ● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases. ● Gain insights into implementation strategies through practical, real-world examples. DESCRIPTION Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, you’ll gain practical insights into the power of prompt engineering, advanced features of Azure’s AI capabilities, and how to implement solutions in language, speech, and vision. You’ll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don’t miss your chance to transform your business with Azure’s revolutionary AI tools—start building the future today! WHAT WILL YOU LEARN ● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques. ● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions. ● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio. ● Leverage Azure’s advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices. ● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications. WHO IS THIS BOOK FOR? This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Exploring LLMs and Its Capabilities 3. Vector Database and Embedding Techniques 4. Prompt Engineering and Its Significance 5. Azure Storage for Azure OpenAI Implementations 6. Azure AI Search Services for Azure OpenAI Implementations 7. Getting Started with Generative AI Using Azure OpenAI Services 8. Advanced Azure AI Studio–I 9. Advanced Azure AI Studio–II 10. Generative AI Use Cases for Industries–I 11. Gen AI Implementation Use Case with Azure OpenAI–II Index
Ultimate Cisco Collaboration Infrastructure For Enterprise Solutions
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Author : Lalit Pamnani
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-08-03
Ultimate Cisco Collaboration Infrastructure For Enterprise Solutions written by Lalit Pamnani and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-03 with Computers categories.
TAGLINE Master Cisco Collaboration Infrastructure, One Chapter at a Time KEY FEATURES ● Comprehensive lifecycle coverage of Cisco Collaboration Infrastructure. ● Practical application focus for real-world admin scenarios and troubleshooting. ● Includes numerous references and resources for holistic implementation and further exploration. DESCRIPTION This comprehensive book is designed to help IT professionals master the complex landscape of Cisco Collaboration Infrastructure. It covers a wide range of topics, from the basics of collaboration technologies and deployment models to advanced concepts like dial plan configuration, media resources, and conferencing. The book also explores the Cisco Webex suite, hybrid solutions, and edge servers, providing readers with a holistic understanding of Cisco’s collaboration offerings. Readers will gain a deep understanding of signaling and media protocols, including SIP, RTP, and RTCP, as well as essential protocols like DTMF and fax over IP. The book also addresses security, compliance, and recovery strategies, ensuring that readers are well-equipped to handle the challenges of managing Cisco Collaboration Infrastructure in real-world scenarios. Throughout the book, practical examples and real-world insights are provided, along with an introduction to automation and APIs in the context of Cisco Collaboration solutions. By the end of this book, readers will have a comprehensive toolkit to excel in managing Cisco Collaboration Infrastructure, whether they are novice IT admins, professionals preparing for Cisco Collaboration exams, or experienced administrators looking to upgrade their skills. The book also includes additional resources and discusses emerging trends, ensuring that readers stay up-to-date with the latest developments in the field. WHAT WILL YOU LEARN ● Gain practical skills to deploy and manage Cisco's collaboration tools, ensuring smooth operations and integration within your organization's infrastructure. ● Learn to set up and resolve issues with essential components like dial plans, media resources, and conferencing systems to ensure seamless communication. ● Understand and implement signaling and media protocols like SIP, RTP, and RTCP for effective Cisco Collaboration implementation. ● Develop strategies to protect and sustain your Cisco collaboration environment, addressing security concerns and maintaining operational health. ● Discover how to leverage APIs for automating routine tasks, improving efficiency, and enhancing the functionality of Cisco Collaboration tools. ● Stay updated with the latest advancements and trends in collaboration tech, ensuring your skills and knowledge remain current and relevant. WHO IS THIS BOOK FOR? This book is designed for IT professionals, network administrators, and engineers who manage or plan to deploy Cisco Collaboration Infrastructure in their organizations. Readers should have a basic understanding of networking and IP telephony concepts before diving in. TABLE OF CONTENTS 1. Introduction to Modern Collaboration Technologies 2. Understanding Cisco Collaboration Solutions 3. Managing Endpoints and Users 4. Mastering CUCM Call Control and Telephony Features 5. Dial Plans - Basics to Advance 6. Media Resources, Conferencing, and AV Solutions 7. Exploring Cisco Collaboration Cloud, Hybrid and Edge 8. Understanding Signaling and Media Protocols 9. Deep Dive - Signaling and Media Protocols 10. Security, Compliance and Recovery 11. Troubleshooting Techniques and Tools 12. Automation and APIs in Cisco Collaboration 13. Additional Resources and Emerging Trends Index
Data Engineering Best Practices
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Author : Richard J. Schiller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-11
Data Engineering Best Practices written by Richard J. Schiller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.
Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.