Datafusion Query Execution With Rust And Arrow

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Datafusion Query Execution With Rust And Arrow

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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-12

Datafusion Query Execution With Rust And Arrow written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.

"DataFusion: Query Execution with Rust and Arrow" "DataFusion: Query Execution with Rust and Arrow" is a comprehensive exploration into the architecture, execution, and innovation that power modern analytical query engines. This book begins by establishing a solid foundation in advanced Rust programming, data systems engineering, and the transformative role of Apache Arrow’s columnar memory format. Through its in-depth examination of DataFusion’s core architecture, readers gain a clear understanding of how high-performance, safe, and flexible query processing is achieved in cloud-native analytics environments. Delving deeper, the book covers the full spectrum of query lifecycle stages: from SQL parsing and logical planning to physical execution and advanced optimization. It demystifies the interplay between logical and physical plans, highlighting strategies such as predicate pushdown, schema inference, and cost-based optimization. Detailed discussions of parallelism, vectorized execution, memory management, and the seamless integration of diverse data sources position DataFusion at the forefront of modern large-scale analytics. Chapters dedicated to distributed execution with Ballista, resource-adaptive scheduling, and workload profiling provide practical guidance for building scalable and robust analytical platforms. With dedicated sections on observability, debugging, security, and extensibility, "DataFusion: Query Execution with Rust and Arrow" equips both practitioners and architects to tackle real-world challenges in analytical data systems. Coverage of Arrow Flight, custom data connectors, auditability, user-defined functions, and future directions ensures readers are prepared for the rapidly evolving landscape of cloud, stream, and real-time analytics. This work is an essential guide for anyone seeking deep technical mastery of the systems powering next-generation, high-performance data analytics.

In Memory Analytics With Apache Arrow

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Author : Matthew Topol
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-06-24

In Memory Analytics With Apache Arrow written by Matthew Topol 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 2022-06-24 with Computers categories.

Process tabular data and build high-performance query engines on modern CPUs and GPUs using Apache Arrow, a standardized language-independent memory format, for optimal performance Key Features Learn about Apache Arrow's data types and interoperability with pandas and Parquet Work with Apache Arrow Flight RPC, Compute, and Dataset APIs to produce and consume tabular data Reviewed, contributed, and supported by Dremio, the co-creator of Apache Arrow Book DescriptionApache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily. In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you'll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you'll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve. By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.What you will learn Use Apache Arrow libraries to access data files both locally and in the cloud Understand the zero-copy elements of the Apache Arrow format Improve read performance by memory-mapping files with Apache Arrow Produce or consume Apache Arrow data efficiently using a C API Use the Apache Arrow Compute APIs to perform complex operations Create Arrow Flight servers and clients for transferring data quickly Build the Arrow libraries locally and contribute back to the community Who this book is for This book is for developers, data analysts, and data scientists looking to explore the capabilities of Apache Arrow from the ground up. This book will also be useful for any engineers who are working on building utilities for data analytics and query engines, or otherwise working with tabular data, regardless of the programming language. Some familiarity with basic concepts of data analysis will help you to get the most out of this book but isn't required. Code examples are provided in the C++, Go, and Python programming languages.

Scaling Up With R And Apache Arrow

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Author : Nic Crane
language : en
Publisher: CRC Press
Release Date : 2025-06-02

Scaling Up With R And Apache Arrow written by Nic Crane and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Computers categories.

Analyze large datasets directly from R. Scaling Up With R and Arrow provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. As data grows in size and complexity, traditional data analysis methods in R often hit technical limitations. In this book, you'll learn how to overcome these hurdles without needing to set up complex infrastructure. You'll learn about the Apache Arrow project's origins, goals, and its significance in bridging the gap between data science and big data ecosystems. You'll also learn how to leverage the arrow R package to work directly with files in various formats, such as CSV and Parquet, using familiar dplyr syntax. This book explores practical topics like data manipulation, file formats, working with larger datasets, and optimizing workflows for data in cloud storage. Advanced chapters examine user-defined functions, integration with other tools like DuckDB, and extending Arrow's capabilities to work with geospatial data. Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in 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.

Delta Lake The Definitive Guide

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Author : Denny Lee
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-10-30

Delta Lake The Definitive Guide written by Denny 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 2024-10-30 with Computers categories.

Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee, Tristen Wentling, Scott Haines, and Prashanth Babu (with contributions from Delta Lake maintainer R. Tyler Croy) share expert insights on all things Delta Lake--including how to run batch and streaming jobs concurrently and accelerate the usability of your data. You'll also uncover how ACID transactions bring reliability to data lakehouses at scale. This book helps you: Understand key data reliability challenges and how Delta Lake solves them Explain the critical role of Delta transaction logs as a single source of truth Learn the Delta Lake ecosystem with technologies like Apache Flink, Kafka, and Trino Architect data lakehouses with the medallion architecture Optimize Delta Lake performance with features like deletion vectors and liquid clustering

Practical Machine Learning With Rust

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Author : Joydeep Bhattacharjee
language : en
Publisher: Apress
Release Date : 2019-12-10

Practical Machine Learning With Rust written by Joydeep Bhattacharjee and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with Mathematics categories.

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in Rust Use Rust libraries for different tasks in machine learning Create concise Rust packages for your machine learning applications Implement NLP and computer vision in Rust Deploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.

Building The Hyperconnected Society

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Author : Ovidiu Vermesan
language : en
Publisher: River Publishers
Release Date : 2015-06-16

Building The Hyperconnected Society written by Ovidiu Vermesan and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-16 with Computers categories.

This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda, and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade.

The Chinese Navy

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Author : Institute for National Strategic Studies
language : en
Publisher: Government Printing Office
Release Date : 2011-12-27

The Chinese Navy written by Institute for National Strategic Studies and has been published by Government Printing Office this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-27 with History categories.

Tells the story of the growing Chinese Navy - The People's Liberation Army Navy (PLAN) - and its expanding capabilities, evolving roles and military implications for the USA. Divided into four thematic sections, this special collection of essays surveys and analyzes the most important aspects of China's navel modernization.

Trust And Transparency In An Age Of Surveillance

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Author : Lora Anne Viola
language : en
Publisher: Routledge
Release Date : 2021-11-29

Trust And Transparency In An Age Of Surveillance written by Lora Anne Viola and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Social Science categories.

Investigating the theoretical and empirical relationships between transparency and trust in the context of surveillance, this volume argues that neither transparency nor trust provides a simple and self-evident path for mitigating the negative political and social consequences of state surveillance practices. Dominant in both the scholarly literature and public debate is the conviction that transparency can promote better-informed decisions, provide greater oversight, and restore trust damaged by the secrecy of surveillance. The contributions to this volume challenge this conventional wisdom by considering how relations of trust and policies of transparency are modulated by underlying power asymmetries, sociohistorical legacies, economic structures, and institutional constraints. They study trust and transparency as embedded in specific sociopolitical contexts to show how, under certain conditions, transparency can become a tool of social control that erodes trust, while mistrust—rather than trust—can sometimes offer the most promising approach to safeguarding rights and freedom in an age of surveillance. The first book addressing the interrelationship of trust, transparency, and surveillance practices, this volume will be of interest to scholars and students of surveillance studies as well as appeal to an interdisciplinary audience given the contributions from political science, sociology, philosophy, law, and civil society. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Spark In Action

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Author : Jean-Georges Perrin
language : en
Publisher: Simon and Schuster
Release Date : 2020-05-12

Spark In Action written by Jean-Georges Perrin and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Computers categories.

Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Foreword by Rob Thomas. About the technology Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms. What's inside Writing Spark applications in Java Spark application architecture Ingestion through files, databases, streaming, and Elasticsearch Querying distributed datasets with Spark SQL About the reader This book does not assume previous experience with Spark, Scala, or Hadoop. About the author Jean-Georges Perrin is an experienced data and software architect. He is France’s first IBM Champion and has been honored for 12 consecutive years. Table of Contents PART 1 - THE THEORY CRIPPLED BY AWESOME EXAMPLES 1 So, what is Spark, anyway? 2 Architecture and flow 3 The majestic role of the dataframe 4 Fundamentally lazy 5 Building a simple app for deployment 6 Deploying your simple app PART 2 - INGESTION 7 Ingestion from files 8 Ingestion from databases 9 Advanced ingestion: finding data sources and building your own 10 Ingestion through structured streaming PART 3 - TRANSFORMING YOUR DATA 11 Working with SQL 12 Transforming your data 13 Transforming entire documents 14 Extending transformations with user-defined functions 15 Aggregating your data PART 4 - GOING FURTHER 16 Cache and checkpoint: Enhancing Spark’s performances 17 Exporting data and building full data pipelines 18 Exploring deployment