Winning With Dataops Harnessing Efficiency In The Enterprise
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Winning With Dataops Harnessing Efficiency In The Enterprise
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Author : Prabhu Krishnaswamy
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2023-08-18
Winning With Dataops Harnessing Efficiency In The Enterprise written by Prabhu Krishnaswamy and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-18 with Business & Economics categories.
In the fast-paced world of data-driven decision-making, DataOps has emerged as a transformative framework for organizations aiming to optimize their data ecosystems. Winning with DataOps: Harnessing Efficiency in the Enterprise is a definitive guide for senior executives, IT professionals, and data engineers striving to build agile, scalable, and secure data workflows that align with business goals. This book unpacks the core principles of DataOps, providing insights into its role in bridging the gap between legacy systems and cutting-edge technologies. From data pipeline automation and orchestration to governance and real-time security, the book offers actionable strategies for managing complex, large-scale data ecosystems. It also highlights the importance of aligning DataOps practices with organizational objectives to ensure that data-driven initiatives deliver measurable business value. Readers will explore practical methodologies for implementing robust data governance frameworks, ensuring compliance with global regulations, and leveraging tools like Apache Airflow, Kafka, and Collibra for pipeline optimization and lineage tracking. Case studies and industry examples illustrate the transformative power of DataOps in industries like healthcare, finance, and e-commerce, showcasing its potential to enhance efficiency, reliability, and innovation. Whether you ’ re integrating legacy systems with modern architectures, deploying real-time processing strategies, or navigating multi-cloud environments, Winning with DataOps equips you with the knowledge to harness the full potential of your data assets. This book is your roadmap to operational excellence and strategic advantage in the evolving digital landscape.
Data Warehousing
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Data Warehousing written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
Introducing the "Data Warehousing: Optimizing Data Storage and Retrieval for Business Success" bundle! Unlock the full potential of your data with this comprehensive collection of four essential books: 1. Data Warehousing Fundamentals: A Beginner's Guide · Dive into the foundational principles of data warehousing and learn how to build a solid framework for storing and managing your organization's data. · Understand the importance of data modeling and gain insights into the extraction, transformation, and loading (ETL) processes essential for efficient data management. 2. Mastering Data Modeling for Data Warehousing · Take your data modeling skills to the next level with advanced techniques for conceptual, logical, and dimensional modeling. · Learn how to design scalable and efficient data warehouses that meet the evolving needs of your organization. 3. Advanced ETL Techniques for Data Warehousing Optimization · Optimize your ETL processes and streamline data extraction, transformation, and loading for maximum efficiency. · Explore advanced techniques such as incremental loading and change data capture (CDC) to ensure the smooth operation of your data warehouse. 4. Big Data Analytics: Harnessing the Power of Data Warehousing for Experts · Unlock the transformative potential of big data analytics and gain actionable insights to drive informed decision-making. · Discover how to leverage your data warehouse for real-time data processing, predictive modeling, and more. With this bundle, you'll gain the knowledge and skills needed to optimize your data storage and retrieval processes, empowering you to harness the power of data for business success. Whether you're a beginner looking to build a solid foundation or an expert seeking advanced strategies, this bundle has something for everyone. Don't miss out on this opportunity to revolutionize your approach to data warehousing and take your business to new heights!
Mastering Enterprise Platform Engineering
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Author : Mark Peters
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-06-27
Mastering Enterprise Platform Engineering written by Mark Peters 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 2025-06-27 with Computers categories.
Unlock the full potential of enterprise platforms and drive the future of your business by incorporating cutting-edge gen AI techniques Key Features Apply proven frameworks and real-world strategies to design scalable, high-performing platforms Integrate AI-powered observability, security, compliance into your platform using best practices Work through hands-on tutorials and case studies to implement platform engineering successfully for measurable business impact Purchase of the print or Kindle book includes a free PDF eBook Book Description Modern organizations must deliver software faster, ensure platform stability, and adopt AI, all while reducing operational complexity and cost. But fragmented tooling, scaling challenges, and limited developer enablement hinder progress – driving engineering leaders to seek a cohesive strategy for efficiency, resilience, and innovation. In this book, Dr. Mark Peters and Dr. Gautham Pallapa join forces to resolve these complexities by showing you how to build scalable platforms, operate them efficiently through automation and AI, and optimize software delivery pipelines for continuous value. The chapters cover core principles, including platform architecture, self-service enablement, and developer experience. You’ll explore proven frameworks for cultural transformation, strategic alignment, and continuous improvement, along with 10 bold predictions about the future of platform engineering to help you anticipate trends and lead through change with confidence. By the end of this book, you’ll be able to design and implement resilient, intelligent platforms, accelerate innovation, and drive measurable business impact, positioning you and your organization as leaders in the next era of platform engineering. What you will learn Discover how modern platform engineering drives scalability and sustainable business value Design and implement internal developer platforms with self-service, golden paths, and AI automation Integrate AI and machine learning for predictive observability and smart workload optimization Use leadership and cultural transformation frameworks to build high-performance platform teams Measure and optimize platform success through KPIs and FinOps strategies Accelerate software delivery by unifying existing tools and workflows into cohesive, scalable platforms Who this book is for This book is for experienced professionals across IT, product, and business functions who are responsible for building, operating, optimizing, or scaling platform capabilities. It is tailored for platform engineers, DevOps engineers, software developers, IT operations teams, transformation leaders, and business executives looking to align platform strategy with organizational goals. A solid understanding of DevOps practices, cloud-native technologies, and software development lifecycles, as well as familiarity with CI/CD, infrastructure automation, and modern application deployment is a must.
Cryptocurrency Market Forecasting With Catboost Models
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Author : Heng Chen
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-05-19
Cryptocurrency Market Forecasting With Catboost Models written by Heng Chen and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Business & Economics categories.
Cryptocurrency Market Forecasting With Catboost Models explores the intersection of Financial Technology (FinTech) and Big Data Analytics, specifically their impact on cryptocurrency market predictions. It also discusses advanced machine learning techniques, such as the Catboost model, and the evolving landscape of technologies like quantum computing and blockchain. The book outlines the role of digital transformation in finance by introducing FinTech and its evolution. It then covers cryptocurrency market forecasting, addressing its unique challenges and opportunities. Detailed chapters follow the Catboost model, covering its features, practical applications, and advantages. Essential topics include data cleaning, feature engineering, and data preprocessing for robust predictive models. The book also explores big data analytics, distributed computing frameworks, and ethical considerations in AI for market predictions. Real-world case studies illustrate key concepts, concluding with a forward-looking analysis of emerging technologies. Key Features: - Comprehensive coverage of FinTech and its impact on market predictions. - Detailed explanation and practical applications of the Catboost model. - Insights into data preprocessing, feature engineering, and model evaluation. - Exploration of big data analytics and distributed computing in finance. - Discussion of ethical considerations and regulatory challenges in AI for market predictions. - Real-world case studies and examples.
Principles Of Data Fabric
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Author : Sonia Mezzetta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-04-06
Principles Of Data Fabric written by Sonia Mezzetta 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 2023-04-06 with Computers categories.
Apply Data Fabric solutions to automate Data Integration, Data Sharing, and Data Protection across disparate data sources using different data management styles. Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to design Data Fabric architecture effectively with your choice of tool Build and use a Data Fabric solution using DataOps and Data Mesh frameworks Find out how to build Data Integration, Data Governance, and Self-Service analytics architecture Book Description Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered. The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You'll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you'll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles. By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution. What you will learn Understand the core components of Data Fabric solutions Combine Data Fabric with Data Mesh and DataOps frameworks Implement distributed data management and regulatory compliance using Data Fabric Manage and enforce Data Governance with active metadata using Data Fabric Explore industry best practices for effectively implementing a Data Fabric solution Who this book is for If you are a data engineer, data architect, or business analyst who wants to learn all about implementing Data Fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate Data Fabric architecture into the broader ecosystem.
Enterprise Data Science
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Author : Vidhur Gupta
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Enterprise Data Science written by Vidhur Gupta and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Enterprise Data Science: Smarter Decisions with Big Data offers a comprehensive guide to leveraging data science for actionable insights in enterprises. We explore the core principles and contemporary approaches to handling large volumes of data, emphasizing the entire data lifecycle. The book compares data science to business intelligence, highlighting their different methodologies and applications. We delve into the emerging trends in data science, showcasing how various organizations are adapting to these technologies. Topics include the integration of artificial intelligence, practical implementation of data science, and the use of modern tools like the Hadoop system. Each chapter is thoroughly revised and updated, featuring eye-catching diagrams, charts, and tables for better understanding. Designed for accessibility, this book caters to both beginners and experienced data scientists, providing a user-friendly layout and practical insights into the evolving field of data science.
Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025
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Author : Author:1- Sanchee Kaushik, Author:1- Prof. Dr. Dyuti Banerjee
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Practical Data Engineering For Cloud Migration From Legacy To Scalable Analytics 2025 written by Author:1- Sanchee Kaushik, Author:1- Prof. Dr. Dyuti Banerjee and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The exponential growth of data in today’s digital landscape has reshaped how businesses operate, forcing organizations to rethink their data strategies and technologies. As more companies embrace cloud computing, migrating legacy data systems to the cloud has become a critical step towards achieving scalability, flexibility, and agility in data management. “Practical Data Engineering for Cloud Migration: From Legacy to Scalable Analytics” serves as a comprehensive guide for professionals, data engineers, and business leaders navigating the complex but transformative journey of migrating legacy data systems to modern cloud architectures. The cloud has emerged as the cornerstone of modern data infrastructure, offering unparalleled scalability, on-demand resources, and advanced analytics capabilities. However, the transition from legacy systems to cloud-based architectures is often fraught with challenges—ranging from data compatibility issues to migration complexities, security concerns, and the need to ensure that the newly integrated systems perform optimally. This book bridges that gap by providing practical, real-world solutions for overcoming these challenges while focusing on achieving a scalable and high-performing data environment in the cloud. This book is designed to guide readers through every aspect of the cloud migration process. It starts by addressing the core principles of data engineering, data modeling, and the basics of cloud environments. From there, we delve into the specific challenges and best practices for migrating legacy data systems, transitioning databases to the cloud, optimizing data pipelines, and leveraging modern tools and platforms for scalable analytics. The chapters provide step-by-step guidance, strategies for handling large-scale data migrations, and case studies that highlight the successes and lessons learned from real-world cloud migration initiatives. Throughout this book, we emphasize the importance of ensuring that cloud migration is not just a technical task but a strategic business decision. By providing insights into how cloud migration can unlock new opportunities for data-driven innovation, this book aims to empower organizations to make informed decisions, harness the full potential of their data, and move towards more efficient and scalable cloud-native analytics solutions. Whether you are an experienced data engineer tasked with migrating legacy systems or a business leader looking to understand the strategic value of cloud data architectures, this book will provide you with the knowledge and tools necessary to execute a successful cloud migration and set your organization up for future growth. Authors
Ultimate Qlik Cloud Data Analytics And Data Integration
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Author : Orange Editorial Board
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-07-25
Ultimate Qlik Cloud Data Analytics And Data Integration written by Orange Editorial Board 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 2025-07-25 with Computers categories.
TAGLINE Master Qlik Cloud to Integrate Data and Drive Real-Time Insights. KEY FEATURES ● End-to-End Qlik Cloud Coverage from Basics to Automation. ● Real-Time Data Integration with QCDI & CDC Techniques. ● AI-Powered Insights Using AutoML and Insight Advisor. ● Hands-On Visualizations, Scripting, and Application Design. DESCRIPTION In today’s data-driven world, organizations need smarter tools to turn raw data into actionable insights—Qlik Cloud is one of the most powerful platforms to do just that. It enables users to unify data, visualize trends, and make faster, informed decisions. Ultimate Qlik Cloud Data Analytics and Data Integration is your comprehensive guide to mastering the full Qlik Cloud ecosystem. The journey begins with a walkthrough of the platform's foundational features, including its intuitive interface, scalable architecture, and cloud-native capabilities. You’ll learn how to build your first application using Data Manager, seamlessly connecting and loading data from a variety of sources. As your skills grow, the book delves into data scripting, modeling, and set analysis—giving you the tools to shape your data and create meaningful relationships. Visualizations come next, where you’ll design compelling, interactive dashboards that uncover hidden patterns and drive user engagement. Beyond visualization, the book explores Qlik Cloud’s advanced analytics offerings, including Insight Advisor, AutoML, and AI-assisted recommendations that accelerate decision-making. You'll also master the backend power of the platform, diving deep into real-time data integration, Change Data Capture (CDC), Application Automation, and data lineage tracking—all crucial for building enterprise-ready solutions. With a focus on real-world implementation, governance, and performance, this book prepares analysts, developers, and business users alike to unlock the full potential of Qlik Cloud—from data ingestion to decision-making. Dive in and become a Qlik Cloud expert to integrate smarter, analyze deeper, and lead with data. WHAT WILL YOU LEARN ● Build apps using Qlik Cloud Data Manager and scripting. ● Create advanced visualizations and master set analysis logic. ● Integrate real-time data streams using QCDI and CDC. ● Automate workflows with Application Automation and Insight Advisor. ● Leverage AutoML for predictive analytics and business insights. ● Manage data lineage, governance, and glossary for compliance. WHO IS THIS BOOK FOR? This book is ideal for data analysts, BI developers, and business users looking to build or enhance their data visualization and integration skills using Qlik Cloud. Whether you're new to Qlik or transitioning from other tools, no prior experience with Qlik Sense is required, just a basic understanding of data concepts. TABLE OF CONTENTS 1. Getting Started With Qlik Cloud 2. Building Your First Application 3. Using Scripts 4. Set Analysis 5. Embedding and Extending 6. Navigating The Data Landscape 7. Advanced Analytics - AutoML 8. Application Automation 9. Insight Advisor 10. Reporting Service 11. Direct Access Gateway 12. Getting to Know Qlik Talend Data Integration 13. CDC and Landing Data in Real Time 14. Transforming Data 15. Data Marts Index
Building A Data Strategy
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Author : Ian Loe
language : en
Publisher: Ian Loe
Release Date : 2024-12-16
Building A Data Strategy written by Ian Loe and has been published by Ian Loe this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-16 with Computers categories.
In the digital age, data is the lifeblood of successful organisations. Building a Data Strategy is the ultimate guide for business leaders, data professionals, and IT teams looking to harness the power of data to drive growth, innovation, and efficiency. This comprehensive book covers every step of developing and executing a successful data strategy, from understanding the role of data in modern businesses to implementing scalable architectures and ensuring data quality and governance. With real-world case studies from industry leaders like Walmart, Starbucks, and Netflix, it offers practical insights and proven frameworks that you can apply to your organization. You’ll learn how to: - Identify and prioritise valuable data that aligns with business goals. - Implement scalable data architectures, governance frameworks, and quality controls. - Use advanced technologies like AI, real-time analytics, and machine learning to future-proof your strategy. Whether you're starting from scratch or refining your current approach, Building a Data Strategy provides the tools and knowledge you need to transform your organization’s data into a strategic asset. Empower your team. Drive results. Lead the future with data.
Data Science Exam Preparation
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Author : cybellim
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Data Science Exam Preparation written by cybellim and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com