Winning With Dataops Harnessing Efficiency In The Enterprise

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Winning with DataOps: Harnessing Efficiency in the Enterprise

Author: Prabhu Krishnaswamy
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2023-08-18
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

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

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.