Practical Guide To Building An Etl Pipeline

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Streamlining Etl A Practical Guide To Building Pipelines With Python And Sql

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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-11

Streamlining Etl A Practical Guide To Building Pipelines With Python And Sql written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Computers categories.

Unlock the potential of data with "Streamlining ETL: A Practical Guide to Building Pipelines with Python and SQL," the definitive resource for creating high-performance ETL pipelines. This essential guide is meticulously designed for data professionals seeking to harness the data-intensive capabilities of Python and SQL. From establishing a development environment and extracting raw data to optimizing and securing data processes, this book offers comprehensive coverage of every aspect of ETL pipeline development. Whether you're a data engineer, IT professional, or a scholar in data science, this book provides step-by-step instructions, practical examples, and expert insights necessary for mastering the creation and management of robust ETL pipelines. By the end of this guide, you will possess the skills to transform disparate data into meaningful insights, ensuring your data processes are efficient, scalable, and secure. Dive into advanced topics with ease and explore best practices that will make your data workflows more productive and error-resistant. With this book, elevate your organization's data strategy and foster a data-driven culture that thrives on precision and performance. Embrace the journey to becoming an adept data professional with a solid foundation in ETL processes, equipped to handle the challenges of today's data demands.

Practical Guide To Building An Etl Pipeline

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Author : John Smith
language : en
Publisher: Independently Published
Release Date : 2024-05-02

Practical Guide To Building An Etl Pipeline written by John Smith and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.

Unlock the potential of data with "Practical Guide to Building an ETL Pipeline with Python and SQL," the definitive resource for creating high-performance ETL pipelines. This essential guide is meticulously designed for data professionals seeking to harness the data-intensive capabilities of Python and SQL. From establishing a development environment and extracting raw data to optimizing and securing data processes, this book offers comprehensive coverage of every aspect of ETL pipeline development. Whether you're a data engineer, IT professional, or a scholar in data science, this book provides step-by-step instructions, practical examples, and expert insights necessary for mastering the creation and management of robust ETL pipelines. By the end of this guide, you will possess the skills to transform disparate data into meaningful insights, ensuring your data processes are efficient, scalable, and secure. Dive into advanced topics with ease and explore best practices that will make your data workflows more productive and error-resistant. With this book, elevate your organization's data strategy and foster a data-driven culture that thrives on precision and performance. Embrace the journey to becoming an adept data professional with a solid foundation in ETL processes, equipped to handle the challenges of today's data demands.

A Practical Approach To Dbms Using Python

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Author : Dr. Rupak Chakraborty
language : en
Publisher: Chyren Publication
Release Date : 2025-03-22

A Practical Approach To Dbms Using Python written by Dr. Rupak Chakraborty and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Antiques & Collectibles categories.

Data Engineering On The Cloud A Practical Guide 2025

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Author : Raghu Gopa, Dr. Arpita Roy
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Data Engineering On The Cloud A Practical Guide 2025 written by Raghu Gopa, Dr. Arpita Roy 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 digital transformation of businesses and the exponential growth of data have created a fundamental shift in how organizations approach data management, analytics, and decision-making. As cloud technologies continue to evolve, cloud-based data engineering has become central to the success of modern data-driven enterprises. “Data Engineering on the Cloud: A Practical Guide” aims to equip data professionals, engineers, and organizations with the knowledge and practical tools needed to build and manage scalable, secure, and efficient data engineering pipelines in cloud environments. This book is designed to bridge the gap between the theoretical foundations of data engineering and the practical realities of working with cloud-based data platforms. Cloud computing has revolutionized data storage, processing, and analytics by offering unparalleled scalability, flexibility, and cost efficiency. However, with these opportunities come new challenges, including selecting the right tools, architectures, and strategies to ensure seamless data integration, transformation, and delivery. As businesses increasingly migrate their data to the cloud, it is essential for data engineers to understand how to leverage the capabilities of the cloud to build robust data pipelines that can handle large, complex datasets in real-time. Throughout this guide, we will explore the various facets of cloud-based data engineering, from understanding cloud storage and computing services to implementing data integration techniques, managing data quality, and optimizing performance. Whether you are building data pipelines from scratch, migrating on-premises systems to the cloud, or enhancing existing data workflows, this book will provide actionable insights and step-by-step guidance on best practices, tools, and frameworks commonly used in cloud data engineering. Key topics covered in this book include: · The fundamentals of cloud architecture and the role of cloud providers (such as AWS, Google Cloud, and Microsoft Azure) in data engineering workflows. · Designing scalable and efficient data pipelines using cloud-based tools and services. · Integrating diverse data sources, including structured, semi-structured, and unstructured data, for seamless processing and analysis. · Data transformation techniques, including ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), in cloud environments. · Ensuring data quality, governance, and security when working with cloud data platforms. · Optimizing performance for data storage, processing, and analytics to handle growing data volumes and complexity. This book is aimed at professionals who are already familiar with data engineering concepts and are looking to apply those concepts within cloud environments. It is also suitable for organizations that are in the process of migrating to cloud-based data platforms and wish to understand the nuances and best practices for cloud data engineering. In addition to theoretical knowledge, this guide emphasizes hands-on approaches, providing practical examples, code snippets, and real-world case studies to demonstrate the effective implementation of cloud-based data engineering solutions. We will explore how to utilize cloud-native services to streamline workflows, improve automation, and reduce manual interventions in data pipelines. Throughout the book, you will gain insights into the evolving tools and technologies that make data engineering more agile, reliable, and efficient. The role of data engineering is growing ever more important in enabling businesses to unlock the value of their data. By the end of this book, you will have a comprehensive understanding of how to leverage cloud technologies to build high-performance, scalable data engineering solutions that are aligned with the needs of modern data-driven organizations. We hope this guide helps you to navigate the complexities of cloud data engineering and helps you unlock new possibilities for your data initiatives. Welcome to “Data Engineering on the Cloud: A Practical Guide.” Let’s embark on this journey to harness the full potential of cloud technologies in the world of data engineering. Authors

Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws

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Author : Balkishan Arugula
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-04-19

Cloud Native Architectures For Digital Banking A Practical Guide To Building Scalable Financial Platforms With Microservices And Aws written by Balkishan Arugula 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 2024-04-19 with Computers categories.

In the age of digital transformation, financial institutions are under growing pressure to deliver agile, secure, and highly scalable digital services. Cloud-Native Architectures for Digital Banking is a comprehensive, real-world guide for architects, engineers, and IT leaders seeking to modernize banking systems using microservices, cloud-native patterns, and AWS technologies. Written by veteran architect Balkishan Arugula, this book explores the full transformation journey —from legacy constraints to cloud-enabled innovation. It covers foundational cloud-native principles, microservice design, DevSecOps practices, real-time analytics, regulatory compliance, and domain-driven architecture tailored specifically for the financial services industry. With deep dives into serverless and containerized solutions, identity and access management, observability, and secure data strategies, readers will gain the tools to build robust, cost-efficient, and resilient digital banking platforms. Detailed case studies—spanning neobank implementation to legacy modernization—highlight real-world strategies that enable banks to reduce technical debt, accelerate time-to-market, and drive continuous innovation. Whether you're building from scratch or modernizing a legacy core, Cloud-Native Architectures for Digital Banking offers a strategic blueprint for achieving scalable growth, regulatory compliance, and technology excellence in today’s competitive financial landscape.

Aws Services Guide 2024 Edition

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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-10-16

Aws Services Guide 2024 Edition written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.

Discover the power of cloud computing with the "AWS SERVICES GUIDE: From Fundamentals to Practical Applications." This book is an essential reference for IT professionals, developers, data engineers, and solution architects who want to master the services offered by Amazon Web Services (AWS). Written by Diego Rodrigues, an internationally renowned author with extensive experience in technology, this guide provides a comprehensive overview of the key AWS services. From basic configuration to advanced practical applications, each chapter is designed to deliver clear and detailed instructions, enabling you to immediately apply the knowledge gained in your projects. The "AWS SERVICES GUIDE" covers fundamental topics such as Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, and more. This book is ideal for both beginners seeking a solid foundation in cloud computing and experienced professionals looking to enhance their skills and explore the advanced capabilities of AWS. This guide has been crafted to be a practical and accessible tool, making it easy to understand concepts and apply best practices in production environments. With practical examples and a structured approach, you will be prepared to tackle technological challenges and implement scalable and secure solutions on AWS. TAGS: AWS Amazon Web Services cloud computing EC2 S3 Lambda RDS VPC cloud security data storage machine learning IoT Internet of Things DevOps DevSecOps scalability data security compliance GDPR HIPAA PCI DSS Redshift Glue DynamoDB CloudFront API Gateway IAM identity and access management auto-scaling high availability disaster recovery backup CLI Management Console performance monitoring CloudWatch Elastic Beanstalk Route 53 Direct Connect Virtual Private Cloud containers Kubernetes ECS EKS serverless architecture SNS SQS cloud automation KMS data encryption Aurora Elasticsearch Service log monitoring CloudTrail Config Shield google azure ibm alibaba databricks WAF Diego Rodrigues.

Fundamentals Of Software Architecture

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Author : Craig Risi
language : en
Publisher: BPB Publications
Release Date : 2025-05-30

Fundamentals Of Software Architecture written by Craig Risi and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.

DESCRIPTION With the rising complexity of modern software systems, strong, scalable software architecture has become the backbone of any successful application. This book gives you the essential knowledge to grasp the core ideas and methods of effective software design, helping you build strong, flexible systems right from the start. The book systematically navigates the critical aspects of software architecture, commencing with a clear definition of its significance and the pivotal role of the software architect. It delves into fundamental architectural properties like performance, security, and maintainability, underscoring the importance of modularity in crafting well-structured systems. You will explore various established architectural styles, including microservices and layered architecture, alongside key design patterns such as MVC and repository, gaining insights into their practical application. The book further elucidates the function of software components, the art of architecting for optimal performance and security, and essential design principles for building robust solutions. Finally, it examines the impact of modern development practices (Agile, DevOps), positions architecture within the broader engineering context, emphasizes the importance of testing at the architectural level, and offers a glimpse into current and future trends shaping the field. By the end of this book, you will have a solid understanding of the core concepts, helping you to contribute effectively to software design discussions, make informed architectural decisions, and build a strong foundation for creating high-quality, future-proof software systems. WHAT YOU WILL LEARN ● Define core architecture, architect roles, and fundamental design attributes. ● Apply modularity principles for resilient and adaptable software design. ● Design cohesive components, manage coupling, and optimize system decomposition. ● Cultivate essential soft skills for effective leadership and stakeholder management. ● Define technical requirements and understand modern development practices. WHO THIS BOOK IS FOR This book is for software developers, technical leads, and anyone involved in software creation, seeking a foundational understanding of software architecture principles and practices to enhance their design skills and project outcomes. TABLE OF CONTENTS Prologue 1. Defining Software Architecture 2. The Role of a Software Architect 3. Architectural Properties 4. The Importance of Modularity 5. Architectural Styles 6. Architectural Patterns 7. Component Architecture 8. Architecting for Performance 9. Architecting for Security 10. Design and Presentation 11. Evolutionary Architecture 12. Soft Skills for Software Architects 13. Writing Technical Requirements 14. Development Practices 15. Architecture as Engineering 16. Testing in Software Architecture 17. Current and Future Trends in Software 18. Synthesizing Architectural Principles Appendix

Modern Data Architecture On Aws

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Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31

Modern Data Architecture On Aws written by Behram Irani 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 2023-08-31 with Computers categories.

Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.

Data Engineering With Dbt

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Author : Roberto Zagni
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30

Data Engineering With Dbt written by Roberto Zagni 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 2023-06-30 with Computers categories.

Use easy-to-apply patterns in SQL and Python to adopt modern analytics engineering to build agile platforms with dbt that are well-tested and simple to extend and run Purchase of the print or Kindle book includes a free PDF eBook Key Features Build a solid dbt base and learn data modeling and the modern data stack to become an analytics engineer Build automated and reliable pipelines to deploy, test, run, and monitor ELTs with dbt Cloud Guided dbt + Snowflake project to build a pattern-based architecture that delivers reliable datasets Book Descriptiondbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps. This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You’ll find out how to leverage data modeling, data quality, master data management, and more to build a simple-to-understand and future-proof solution. As you advance, you’ll explore the modern data stack, understand how data-related careers are changing, and see how dbt enables this transition into the emerging role of an analytics engineer. The chapters help you build a sample project using the free version of dbt Cloud, Snowflake, and GitHub to create a professional DevOps setup with continuous integration, automated deployment, ELT run, scheduling, and monitoring, solving practical cases you encounter in your daily work. By the end of this dbt book, you’ll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that’ll enable you to build reports with the BI tool of your choice.What you will learn Create a dbt Cloud account and understand the ELT workflow Combine Snowflake and dbt for building modern data engineering pipelines Use SQL to transform raw data into usable data, and test its accuracy Write dbt macros and use Jinja to apply software engineering principles Test data and transformations to ensure reliability and data quality Build a lightweight pragmatic data platform using proven patterns Write easy-to-maintain idempotent code using dbt materialization Who this book is for This book is for data engineers, analytics engineers, BI professionals, and data analysts who want to learn how to build simple, futureproof, and maintainable data platforms in an agile way. Project managers, data team managers, and decision makers looking to understand the importance of building a data platform and foster a culture of high-performing data teams will also find this book useful. Basic knowledge of SQL and data modeling will help you get the most out of the many layers of this book. The book also includes primers on many data-related subjects to help juniors get started.

Web Scraping With Python Step By Step A Practical Guide With Examples

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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-04-12

Web Scraping With Python Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.

"Web Scraping with Python Step by Step: A Practical Guide with Examples" offers a detailed exploration into the world of web scraping, specifically tailored for enthusiasts looking to leverage Python for data extraction tasks. This book demystifies the complexities of web scraping, providing readers with a clear understanding of how to gather and manipulate web data efficiently and effectively. It addresses everything from fundamental concepts to advanced techniques, ensuring that readers acquire both breadth and depth in their scraping skills. The book is meticulously organized to address the needs of both beginners and experienced developers. Beginning with foundational knowledge of Python and web technologies, it progresses through setting up a robust scraping environment and understanding HTML structures. The intricate processes of data extraction, transformation, and automation are examined thoroughly, backed by detailed examples and practical insights. Readers are guided through parsing HTML, dealing with HTTP protocols, and navigating dynamic content, ensuring a holistic grasp of the web scraping landscape. Beyond technical prowess, this book emphasizes ethical considerations, encouraging responsible scraping practices to safeguard both user data privacy and legal compliance. With a focus on future trends and real-world applications, this book not only prepares readers for current challenges but also positions them to adapt to evolving technologies. Whether you are a data analyst, developer, or researcher, this guide empowers you to harness the full potential of Python in web scraping ventures, contributing to informed decision-making and data-driven innovations.