Mastering Duckdb

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Mastering Duckdb

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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-07

Mastering Duckdb written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.

"Mastering DuckDB: High-Performance Analytics Made Easy" is a comprehensive guide that empowers data professionals and enthusiasts to harness the full potential of DuckDB. This book demystifies the powerful yet lightweight analytical database management system, providing a clear pathway from foundational concepts to advanced applications. DuckDB, with its impressive performance and ease of use, is adept at handling complex data queries efficiently, making it an ideal choice for real-time analytics, data science workflows, and embedded applications. The book meticulously covers essential topics, from installation and basic SQL operations to advanced features like user-defined functions and extension management. It also explores practical integrations with popular tools and languages such as Python, R, and Jupyter Notebooks, enhancing analytical workflows. With real-world case studies across industries like finance and healthcare, the book illustrates DuckDB's versatility and impact. Readers will gain insights into performance optimization strategies, future trends, and emerging analytics needs, ensuring they remain at the forefront of the data analytics landscape. Whether you are a seasoned data analyst or a beginner, this guide offers valuable knowledge and practical skills to efficiently leverage DuckDB for your data needs.

Duckdb Up And Running

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Author : Wei-Meng Lee
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-12-05

Duckdb Up And Running written by Wei-Meng Lee 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 2024-12-05 with Computers categories.

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool. Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Understand the purpose of DuckDB and its main functions Conduct data analytics tasks using DuckDB Integrate DuckDB with pandas, Polars, and JupySQL Use DuckDB to query your data Perform spatial analytics using DuckDB's spatial extension Work with a diverse range of data including Parquet, CSV, and JSON

Getting Started With Duckdb

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Author : Simon Aubury
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-24

Getting Started With Duckdb written by Simon Aubury 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 2024-06-24 with Computers categories.

Analyze and transform data efficiently with DuckDB, a versatile, modern, in-process SQL database Key Features Use DuckDB to rapidly load, transform, and query data across a range of sources and formats Gain practical experience using SQL, Python, and R to effectively analyze data Learn how open source tools and cloud services in the broader data ecosystem complement DuckDB’s versatile capabilities Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDuckDB is a fast in-process analytical database. Getting Started with DuckDB offers a practical overview of its usage. You'll learn to load, transform, and query various data formats, including CSV, JSON, and Parquet. The book covers DuckDB's optimizations, SQL enhancements, and extensions for specialized applications. Working with examples in SQL, Python, and R, you'll explore analyzing public datasets and discover tools enhancing DuckDB workflows. This guide suits both experienced and new data practitioners, quickly equipping you to apply DuckDB's capabilities in analytical projects. You'll gain proficiency in using DuckDB for diverse tasks, enabling effective integration into your data workflows.What you will learn Understand the properties and applications of a columnar in-process database Use SQL to load, transform, and query a range of data formats Discover DuckDB's rich extensions and learn how to apply them Use nested data types to model semi-structured data and extract and model JSON data Integrate DuckDB into your Python and R analytical workflows Effectively leverage DuckDB's convenient SQL enhancements Explore the wider ecosystem and pathways for building DuckDB-powered data applications Who this book is for If you’re interested in expanding your analytical toolkit, this book is for you. It will be particularly valuable for data analysts wanting to rapidly explore and query complex data, data and software engineers looking for a lean and versatile data processing tool, along with data scientists needing a scalable data manipulation library that integrates seamlessly with Python and R. You will get the most from this book if you have some familiarity with SQL and foundational database concepts, as well as exposure to a programming language such as Python or R.

Mastering Apache Arrow

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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-01

Mastering Apache Arrow written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.

"Mastering Apache Arrow: Accelerating Data Processing and In-Memory Analytics," is an indispensable resource designed to deepen your understanding of Apache Arrow's role in modern data technology. This comprehensive guide takes readers on an enlightening exploration of Arrow’s groundbreaking capabilities, from its advanced architecture to its efficient in-memory data structures. It serves as a vital tool for both beginners looking to grasp the basics and seasoned professionals aiming to harness the full potential of this innovative technology. The book meticulously covers a range of topics including installation and setup, efficient data handling with Arrow Tables and Arrays, and seamless interoperability with other data systems. Readers will learn the intricacies of inter-process communication, memory management, and performance optimization techniques. Enhanced by real-world use cases spanning diverse industries, this book illustrates the transformative impact of Apache Arrow's application in fields such as finance, healthcare, and big data analytics. With clear explanations and step-by-step guidance, this book arms you with practical solutions to common challenges, positioning you to maximize the benefits of Apache Arrow in improving data processing speed and analytic efficiency. Whether you are a data scientist, software engineer, or IT professional, "Mastering Apache Arrow" empowers you to elevate your approach to data analytics and prepares you for the evolving demands of data-driven innovation.

Devops For Data Science

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Author : Alex Gold
language : en
Publisher: CRC Press
Release Date : 2024-06-19

Devops For Data Science written by Alex Gold and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Business & Economics categories.

Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices, principles and tools that help software engineers reliably deploy work to production. This book takes the lessons of DevOps and aplies them to creating and delivering production-grade data science projects in Python and R. This book’s first section explores how to build data science projects that deploy to production with no frills or fuss. Its second section covers the rudiments of administering a server, including Linux, application, and network administration before concluding with a demystification of the concerns of enterprise IT/Administration in its final section, making it possible for data scientists to communicate and collaborate with their organization’s security, networking, and administration teams. Key Features: • Start-to-finish labs take readers through creating projects that meet DevOps best practices and creating a server-based environment to work on and deploy them. • Provides an appendix of cheatsheets so that readers will never be without the reference they need to remember a Git, Docker, or Command Line command. • Distills what a data scientist needs to know about Docker, APIs, CI/CD, Linux, DNS, SSL, HTTP, Auth, and more. • Written specifically to address the concern of a data scientist who wants to take their Python or R work to production. There are countless books on creating data science work that is correct. This book, on the otherhand, aims to go beyond this, targeted at data scientists who want their work to be than merely accurate and deliver work that matters.

Mastering The Art Of Ticket Orders On The Cooking Line Southwestern Cuisine

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Author : John Baker
language : en
Publisher: Lulu.com
Release Date : 2011

Mastering The Art Of Ticket Orders On The Cooking Line Southwestern Cuisine written by John Baker and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.

Research Software Engineering

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Author : Matthias Bannert
language : en
Publisher: CRC Press
Release Date : 2024-04-17

Research Software Engineering written by Matthias Bannert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-17 with Business & Economics categories.

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics. The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts. The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component. This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Features overview: breakdown of complex data science software stacks into core components applied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source software reader guidance: different entry points and rich references to deepen the understanding of selected aspects

Advanced Data Analytics With Aws

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Author : Joseph Conley
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-04-17

Advanced Data Analytics With Aws written by Joseph Conley 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 2024-04-17 with Computers categories.

Master the Fundamentals of Data Analytics at Scale KEY FEATURES ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns DESCRIPTION Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. WHAT WILL YOU LEARN ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. WHO IS THIS BOOK FOR? This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks. TABLE OF CONTENTS 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index

Advanced R

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Author : Hadley Wickham
language : en
Publisher: CRC Press
Release Date : 2015-09-15

Advanced R written by Hadley Wickham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-15 with Mathematics categories.

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Data Pipelines Pocket Reference

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Author : James Densmore
language : en
Publisher: O'Reilly Media
Release Date : 2021-02-10

Data Pipelines Pocket Reference written by James Densmore and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-10 with Computers categories.

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting