Building Etl Pipelines With Python
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Building Etl Pipelines With Python
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Author : Brij Kishore Pandey
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-29
Building Etl Pipelines With Python written by Brij Kishore Pandey 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 2023-09-29 with Computers categories.
Develop production-ready ETL pipelines by leveraging Python libraries and deploying them for suitable use cases Key Features Understand how to set up a Python virtual environment with PyCharm Learn functional and object-oriented approaches to create ETL pipelines Create robust CI/CD processes for ETL pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, applications, and open source components. With its simplicity and extensive library support, Python has emerged as the undisputed choice for data processing. In this book, you’ll walk through the end-to-end process of ETL data pipeline development, starting with an introduction to the fundamentals of data pipelines and establishing a Python development environment to create pipelines. Once you've explored the ETL pipeline design principles and ET development process, you'll be equipped to design custom ETL pipelines. Next, you'll get to grips with the steps in the ETL process, which involves extracting valuable data; performing transformations, through cleaning, manipulation, and ensuring data integrity; and ultimately loading the processed data into storage systems. You’ll also review several ETL modules in Python, comparing their pros and cons when building data pipelines and leveraging cloud tools, such as AWS, to create scalable data pipelines. Lastly, you’ll learn about the concept of test-driven development for ETL pipelines to ensure safe deployments. By the end of this book, you’ll have worked on several hands-on examples to create high-performance ETL pipelines to develop robust, scalable, and resilient environments using Python.What you will learn Explore the available libraries and tools to create ETL pipelines using Python Write clean and resilient ETL code in Python that can be extended and easily scaled Understand the best practices and design principles for creating ETL pipelines Orchestrate the ETL process and scale the ETL pipeline effectively Discover tools and services available in AWS for ETL pipelines Understand different testing strategies and implement them with the ETL process Who this book is for If you are a data engineer or software professional looking to create enterprise-level ETL pipelines using Python, this book is for you. Fundamental knowledge of Python is a prerequisite.
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.
Python For Data Engineering
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Author : Greyson Chesterfield
language : en
Publisher: Independently Published
Release Date : 2025-01-02
Python For Data Engineering written by Greyson Chesterfield and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
Python for Data Engineering: Build ETL Pipelines and Handle Big Data Efficiently with Python Unlock the full potential of data engineering with "Python for Data Engineering", the essential guide for aspiring data engineers, data scientists, and IT professionals seeking to master the art of building robust ETL pipelines and managing big data using Python. Whether you're just beginning your data engineering journey or looking to enhance your existing skills, this comprehensive handbook provides the tools, techniques, and insights necessary to transform raw data into valuable assets for your organization. Dive into expertly structured chapters that blend theoretical knowledge with practical applications, covering everything from the fundamentals of data engineering and Python programming to advanced topics like distributed computing, real-time data processing, and cloud integration. Learn how to design, develop, and deploy scalable ETL pipelines that efficiently extract, transform, and load data from diverse sources. Discover best practices for handling large datasets, optimizing performance, and ensuring data quality and integrity throughout the data lifecycle. "Python for Data Engineering" empowers you to: Master ETL Processes: Understand the core principles of ETL and learn how to implement efficient data extraction, transformation, and loading strategies using Python. Handle Big Data: Explore techniques for managing and processing large-scale datasets with tools like Apache Spark, Hadoop, and Dask, all within the Python ecosystem. Automate Workflows: Streamline data engineering tasks by automating repetitive processes with Python scripts and workflow management tools such as Airflow and Luigi. Design Scalable Pipelines: Build resilient and scalable data pipelines that can handle increasing data volumes and complexity with ease. Ensure Data Quality: Implement robust data validation, cleansing, and monitoring practices to maintain high-quality data standards. Leverage Cloud Services: Integrate Python-based data engineering solutions with leading cloud platforms like AWS, Google Cloud, and Azure for enhanced flexibility and scalability. Optimize Performance: Fine-tune your data engineering workflows for maximum efficiency, reducing latency and improving throughput. Implement Security Best Practices: Protect sensitive data by applying security measures and ensuring compliance with industry standards and regulations. Visualize and Report Data: Create insightful visualizations and reports to communicate data findings effectively using libraries like Matplotlib, Seaborn, and Plotly. Stay Ahead with Advanced Topics: Delve into cutting-edge technologies such as machine learning integration, real-time analytics, and serverless computing to keep your skills current and in demand. Packed with real-world examples, hands-on exercises, and expert tips, "Python for Data Engineering" serves as your indispensable companion in navigating the dynamic field of data engineering. Whether you're building data pipelines for business intelligence, supporting data-driven decision-making, or driving innovation through data analytics, this book equips you with the knowledge and skills to excel. Key Features: Comprehensive coverage of data engineering fundamentals and advanced Python techniques Step-by-step tutorials for building and deploying ETL pipelines In-depth guides to handling and processing big data with Python-based tools Real-world case studies illustrating best practices and common challenges Practical exercises and projects to reinforce learning and develop hands-on experience Insights into the latest trends and technologies in the data engineering landscape
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.
Learn Python By Building Data Science Applications
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Author : Philipp Kats
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-08-30
Learn Python By Building Data Science Applications written by Philipp Kats 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 2019-08-30 with Computers categories.
Understand the constructs of the Python programming language and use them to build data science projects Key FeaturesLearn the basics of developing applications with Python and deploy your first data applicationTake your first steps in Python programming by understanding and using data structures, variables, and loopsDelve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in PythonBook Description Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards. What you will learnCode in Python using Jupyter and VS CodeExplore the basics of coding – loops, variables, functions, and classesDeploy continuous integration with Git, Bash, and DVCGet to grips with Pandas, NumPy, and scikit-learnPerform data visualization with Matplotlib, Altair, and DatashaderCreate a package out of your code using poetry and test it with PyTestMake your machine learning model accessible to anyone with the web APIWho this book is for If you want to learn Python or data science in a fun and engaging way, this book is for you. You’ll also find this book useful if you’re a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.
Business Intelligence And Big Data Analytics
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-07
Business Intelligence And Big Data Analytics written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Python Automation Mastery
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2023
Python Automation Mastery 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 2023 with Technology & Engineering categories.
🚀 PYTHON AUTOMATION MASTERY: From Novice to Pro Book Bundle 🚀 Are you ready to unlock the full potential of Python for automation? Look no further than the "Python Automation Mastery" book bundle, a comprehensive collection designed to take you from a beginner to an automation pro! 📘 Book 1 - Python Automation Mastery: A Beginner's Guide · Perfect for newcomers to programming and Python. · Learn Python fundamentals and the art of automation. · Start automating everyday tasks right away! 📗 Book 2 - Python Automation Mastery: Intermediate Techniques · Take your skills to the next level. · Discover web scraping, scripting, error handling, and data manipulation. · Tackle real-world automation challenges with confidence. 📙 Book 3 - Python Automation Mastery: Advanced Strategies · Explore advanced automation concepts. · Master object-oriented programming and external libraries. · Design and implement complex automation projects. 📕 Book 4 - Python Automation Mastery: Expert-Level Solutions · Become an automation architect. · Handle high-level use cases in AI, network security, and data analysis. · Elevate your automation skills to expert status. 🌟 What Makes This Bundle Special? · Comprehensive journey from novice to pro in one bundle. · Easy-to-follow, step-by-step guides in each book. · Real-world examples and hands-on exercises. · Learn ethical automation practices and best strategies. · Access a treasure trove of automation knowledge. 🚀 Why Python? Python is the go-to language for automation due to its simplicity and versatility. Whether you're looking to streamline everyday tasks or tackle complex automation challenges, Python is your ultimate tool. 📈 Invest in Your Future Automation skills are in high demand across industries. By mastering Python automation, you'll enhance your career prospects, supercharge your productivity, and become a sought-after automation expert. 📚 Grab the Complete Bundle Now! Don't miss out on this opportunity to become a Python automation master. Get all four books in one bundle and embark on your journey from novice to pro. Buy now and transform your Python skills into automation mastery!
Data Analytics For Marketing
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Author : Guilherme Diaz-Bérrio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10
Data Analytics For Marketing written by Guilherme Diaz-Bérrio 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 2024-05-10 with Computers categories.
Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key Features Analyze marketing data using proper statistical techniques Use data modeling and analytics to understand customer preferences and enhance strategies without complex math Implement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use cases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial. In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the "what and why questions" to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making. By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.What you will learn Understand the basic ideas behind the main statistical models used in marketing analytics Apply the right models and tools to a specific analytical question Discover how to conduct causal inference, experimentation, and statistical modeling with Python Implement common open source Python libraries for specific use cases with immediately applicable code Analyze customer lifetime data and generate customer insights Go through the different stages of analytics, from descriptive to prescriptive Who this book is for This book is for data analysts and data scientists working in a marketing team supporting analytics and marketing research, who want to provide better insights that lead to data-driven decision-making. Prior knowledge of Python, data analysis, and statistics is required to get the most out of this book.
Continuous Integration And Delivery With Test Driven Development
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Author : Amit Bhanushali
language : en
Publisher: BPB Publications
Release Date : 2024-03-19
Continuous Integration And Delivery With Test Driven Development written by Amit Bhanushali and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
Building tomorrow, today: Seamless integration, continuous deliver KEY FEATURES ● Step-by-step guidance to construct automated software and data CI/CD pipelines. ● Real-world case studies demonstrating CI/CD best practices across diverse organizations and development environments. ● Actionable frameworks to instill an organizational culture of collaboration, quality, and rapid iteration grounded in TDD values. DESCRIPTION As software complexity grows, quality and delivery speed increasingly rely on automated pipelines. This practical guide equips readers to construct robust CI/CD workflows that boost productivity and reliability. Step-by-step walkthroughs detail the technical implementation of continuous practices, while real-world case studies showcase solutions tailored for diverse systems and organizational needs. Master CI/CD, crucial for modern software development, with this book. It compares traditional versus test-driven development, stressing testing's importance. In this book, we will explore CI/CD's principles, benefits, and DevOps integration. We will build robust pipelines covering containerization, version control, and infrastructure as code. Through this book, you will learn about effective CD with monitoring, security, and release management, you will learn how to optimize CI/CD for different scenarios and applications, emphasizing collaboration and automation for success. With actionable best practices grounded in TDD principles, this book teaches how to leverage automated processes to cultivate shared ownership, design simplicity, comprehensive testing, and ultimately deliver exceptional business value. WHAT YOU WILL LEARN ● Construct smooth automated CI/CD pipelines tailored for complex systems. ● Master implementation strategies for diverse development environments. ● Design comprehensive test suites leveraging leading tools and frameworks. ● Instill a collaborative culture grounded in TDD values for ownership and simplicity. ● Optimize release processes for efficiency, quality, and business alignment. WHO THIS BOOK IS FOR This book is ideal for software engineers, developers, testers, and technical leads seeking to improve their CI/CD proficiency. Whether you are starting to explore the tool or looking to deepen your understanding, this book is a valuable resource for anyone eager to learn and master the technology. TABLE OF CONTENTS 1. Adopting a Test-driven Development Mindset 2. Understanding CI/CD Concepts 3. Building the CI/CD Pipeline 4. Ensuring Effective CD 5. Optimizing CI/CD Practices 6. Specialized CI/CD Applications 7. Model Operations: DevOps Pipeline Case Studies 8. Data CI/CD: Emerging Trends and Roles
Data Science On Aws
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Author : Chris Fregly
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-04-07
Data Science On Aws written by Chris Fregly and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Computers categories.
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level up your skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more