Duckdb In Action
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Duckdb In Action
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Author : Mark Needham
language : en
Publisher: Simon and Schuster
Release Date : 2024-09-10
Duckdb In Action written by Mark Needham 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 2024-09-10 with Computers categories.
Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse. DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you’ll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you’ll learn everything you need to get the most out of DuckDB—all through hands-on examples. Open up DuckDB in Action and learn how to: • Read and process data from CSV, JSON and Parquet sources both locally and remote • Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables • Use DuckDB from Python, both with SQL and its "Relational"-API, interacting with databases but also data frames • Prepare, ingest and query large datasets • Build cloud data pipelines • Extend DuckDB with custom functionality Pragmatic and comprehensive, DuckDB in Action introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won’t need to read through pages of documentation—you’ll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines. About the technology DuckDB makes data analytics fast and fun! You don’t need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. About the book DuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You’ll explore DuckDB’s handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action. What's inside • Prepare, ingest and query large datasets • Build cloud data pipelines • Extend DuckDB with custom functionality • Fast-paced SQL recap: From simple queries to advanced analytics About the reader For data pros comfortable with Python and CLI tools. About the author Mark Needham is a blogger and video creator at @?LearnDataWithMark. Michael Hunger leads product innovation for the Neo4j graph database. Michael Simons is a Java Champion, author, and Engineer at Neo4j.
Duckdb In Action
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Author : Mark Needham
language : en
Publisher: Simon and Schuster
Release Date : 2024-08-27
Duckdb In Action written by Mark Needham 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 2024-08-27 with Computers categories.
DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you'll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you'll learn everything you need to get the most out of DuckDB--all through hands-on examples.
Scylladb In Action
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Author : Bo Ingram
language : en
Publisher: Simon and Schuster
Release Date : 2024-11-12
Scylladb In Action written by Bo Ingram 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 2024-11-12 with Computers categories.
Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB. ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You’ll soon have mastered everything you need to build, maintain, and run an effective and efficient database. Inside ScyllaDB in Action you’ll learn how to: • Read, write, and delete data in ScyllaDB • Design database schemas for ScyllaDB • Write performant queries against ScyllaDB • Connect and query a ScyllaDB cluster from an application • Configure, monitor, and operate ScyllaDB in production This book teaches you ScyllaDB the best way—through hands-on examples. Dive into the node-based architecture of ScyllaDB to understand how its distributed systems work, how you can troubleshoot problems, and how you can constantly improve performance. About the technology ScyllaDB is a versatile NoSQL database that can move large volumes of data fast. Very, very, very fast. This drop-in replacement for Cassandra takes full advantage of modern multi-core hardware and scales to handle large real-time data workloads with incredibly low latency. It features built-in monitoring and management tools, and its efficient use of computing resources can save a lot of money on high-volume applications. About the book ScyllaDB in Action demonstrates how to integrate ScyllaDB into data-intensive applications. You’ll work through a hands-on project step by step as you use ScyllaDB to store data and learn to configure, monitor, and safely operate a distributed database. Along the way, you’ll discover how ScyllaDB’s unique “shard per core” approach helps you deliver impressive performance in real-time systems. What's inside • Design schemas for ScyllaDB • Write performant queries • Get an instant speed boost over Cassandra About the reader For backend and infrastructure engineers who know the basics of SQL. About the author Bo Ingram is a staff software engineer at Discord working in database infrastructure. He has extensive experience working with ScyllaDB as an operator and developer. The technical editor on this book was Piotr Wiktor Sarna. Table of Contents Part 1 1 Introducing ScyllaDB 2 Touring ScyllaDB Part 2 3 Data modeling in ScyllaDB 4 Data types in ScyllaDB 5 Tables in ScyllaDB Part 3 6 Writing data to ScyllaDB 7 Reading data from ScyllaDB Part 4 8 ScyllaDB’s architecture 9 Running ScyllaDB in production 10 Application development with ScyllaDB 11 Monitoring ScyllaDB 12 Moving data in bulk with ScyllaDB Appendix Docker
Neo4j The Definitive Guide
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Author : Luanne Misquitta
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-07-23
Neo4j The Definitive Guide written by Luanne Misquitta 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 2025-07-23 with Computers categories.
Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures
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.
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
Analytics Engineering With Sql And Dbt
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Author : Rui Pedro Machado
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-12-08
Analytics Engineering With Sql And Dbt written by Rui Pedro Machado 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 2023-12-08 with Computers categories.
With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence. With this book, you'll learn: What dbt is and how a dbt project is structured How dbt fits into the data engineering and analytics worlds How to collaborate on building data models The main tools and architectures for building useful, functional data models How to fit dbt into data warehousing and laking architecture How to build tests for data transformations
Pandas Cookbook
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Author : William Ayd
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31
Pandas Cookbook written by William Ayd 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 2024-10-31 with Computers categories.
From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features This book targets features in pandas 2.x and beyond Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionUnlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease. What you will learn The pandas type system and how to best navigate it Import/export DataFrames to/from common data formats Data exploration in pandas through dozens of practice problems Grouping, aggregation, transformation, reshaping, and filtering data Merge data from different sources through pandas SQL-like operations Leverage the robust pandas time series functionality in advanced analyses Scale pandas operations to get the most out of your system The large ecosystem that pandas can coordinate with and supplement Who this book is for This book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas
Make Way For Ducklings
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Author : Robert McCloskey
language : en
Publisher: Penguin
Release Date : 1999-02-01
Make Way For Ducklings written by Robert McCloskey and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-02-01 with Juvenile Fiction categories.
NATIONAL BESTSELLER • CALDECOTT MEDAL WINNER • The timeless and brilliantly illustrated classic that teaches the importance of kindness, perseverance, and familial love. This Read & Listen edition includes optional audio narration read by Jake Gyllenhaal! “One of the merriest picture books ever.”—The New York Times Mrs. Mallard was sure that the pond in the Boston Public Gardens would be a perfect place for her and her eight ducklings to live. But when the busy streets of Boston become too risky for her and her family to navigate, the local police step in to make sure Mrs. Mallard and her ducklings—Jack, Kack, Lack, Mack, Nack, Ouack, Pack, and Quack—make it to their new home safely. A beautiful portrayal of one duck family’s devotion and perseverance, this picture book is a wonderful representation of how families overcome hard times together and a compassionate reminder to trust in the goodness of humanity.
Spring Data
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Author : Mark Pollack
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-10-12
Spring Data written by Mark Pollack 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 2012-10-12 with Computers categories.
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use ofdatabase-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration