The Modern Data Stack
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Mastering The Modern Data Stack
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Author : Nick Jewell, PhD
language : en
Publisher: TinyTechMedia LLC
Release Date : 2023-09-28
Mastering The Modern Data Stack written by Nick Jewell, PhD and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Computers categories.
In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™
The Definitive Guide To Data Integration
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Author : Pierre-Yves BONNEFOY
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29
The Definitive Guide To Data Integration written by Pierre-Yves BONNEFOY 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 2024-03-29 with Computers categories.
Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack Key Features Learn how to leverage modern data stack tools and technologies for effective data integration Design and implement data integration solutions with practical advice and best practices Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data. This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics. By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.What you will learn Discover the evolving architecture and technologies shaping data integration Process large data volumes efficiently with data warehousing Tackle the complexities of integrating large datasets from diverse sources Harness the power of data warehousing for efficient data storage and processing Design and optimize effective data integration solutions Explore data governance principles and compliance requirements Who this book is for This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you’re a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.
Proceedings Of The 1st International Conference On Demographics And Civil Registration Incodec 2021
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Author : Diana Lukitasari
language : en
Publisher: Springer Nature
Release Date : 2023-02-10
Proceedings Of The 1st International Conference On Demographics And Civil Registration Incodec 2021 written by Diana Lukitasari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Social Science categories.
This is an open access book.Massive development of the internet in the current era of openness delivers enormous benefits for easy access to information for both individual users, groups and governments. However on the other hand, this development has also resulted in various types of challenges with certain consequences, one of the challenges is guaranteeing the security of access to personal data. The important role of personal data is to complete individual rights, such as in obtaining social security, banking services, conducting general elections and others, as in this case the presence of the state in participating in ensuring the confidentiality of personal data is very necessary. The State through the 1945 Constitution of the Republic of Indonesia in Article 28G clearly stipulates “every person has the right on protection for his/herself, family, honor, dignity, and property of objects that under his/her power, and entitled on a sense of safe and protection from the threat of fear to do or not to do something which is a human right”. Along with the development of information through the internet, technology continues to find various applications and various variations of new technology. Technological growth is directly align to development growth and impulsively drives population movement. As the object and subject of development, the population is recognized, identified, sorted and analyzed as the development policies implemented capable to be targeted. Population data and information thus occupy a very strategic position. Through Law Number 52 of 2009 on the Population Development and Family Development, the central government and local one are given the mandate to collect, process and present data and information on population and family. These efforts can be done through censuses, surveys and family data collection. One of the developed and applied technologies is the development of Big Data technology. Big Data technology utilized to improve public services provided by the government. The development of this technology consistently utilized to build a complete and centralized database in a single identity. In its implementation, the government has opportunities and challenges to take advantage of this technology. Some of the challenges are related to data security and the community’s perspective on managing their population data. Therefore, it is necessary to conduct a more in-depth study of the application of this technology from various scientific sides to address the opportunities and challenges, especially regarding the security of population data and the behavior of the society towards the guarantee of population data which is managed in the current era of openness. Based on the background above, the D-4 Demographic and Civil Registration Study Program, Sebelas Maret University, Surakarta Vocational School will hosting an Online International Seminar on Demography and Civil Registration with main theme: “Challenges on Population Data Security, Demographic Behavior and Transformation in the Openness Era”.
Fundamentals Of Data Engineering
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Author : Joe Reis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-22
Fundamentals Of Data Engineering written by Joe Reis 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 2022-06-22 with Computers categories.
"Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle." - from Publisher.
The Informed Company
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Author : Dave Fowler
language : en
Publisher: John Wiley & Sons
Release Date : 2021-10-26
The Informed Company written by Dave Fowler and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-26 with Business & Economics categories.
Learn how to manage a modern data stack and get the most out of data in your organization! Thanks to the emergence of new technologies and the explosion of data in recent years, we need new practices for managing and getting value out of data. In the modern, data driven competitive landscape the "best guess" approach—reading blog posts here and there and patching together data practices without any real visibility—is no longer going to hack it. The Informed Company provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success . . . You'll discover best practices for every stage, from querying production databases at a small startup all the way to setting up data marts for different business lines of an enterprise. In their work at Chartio, authors Fowler and David have learned that most businesspeople are almost completely self-taught when it comes to data. If they are using resources, those resources are outdated, so they're missing out on the latest cloud technologies and advances in data analytics. This book will firm up your understanding of data and bring you into the present with knowledge around what works and what doesn't. Discover the data stack strategies that are working for today's successful small, medium, and enterprise companies Learn the different Agile stages of data organization, and the right one for your team Learn how to maintain Data Lakes and Data Warehouses for effective, accessible data storage Gain the knowledge you need to architect Data Warehouses and Data Marts Understand your business's level of data sophistication and the steps you can take to get to "level up" your data The Informed Company is the definitive data book for anyone who wants to work faster and more nimbly, armed with actionable decision-making data.
The Informed Company
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Author : Dave Fowler
language : en
Publisher: Wiley
Release Date : 2021-10-22
The Informed Company written by Dave Fowler and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Business & Economics categories.
Learn how to manage a modern data stack and get the most out of data in your organization! Thanks to the emergence of new technologies and the explosion of data in recent years, we need new practices for managing and getting value out of data. In the modern, data driven competitive landscape the "best guess" approach—reading blog posts here and there and patching together data practices without any real visibility—is no longer going to hack it. The Informed Company provides definitive direction on how best to leverage the modern data stack, including cloud computing, columnar storage, cloud ETL tools, and cloud BI tools. You'll learn how to work with Agile methods and set up processes that's right for your company to use your data as a key weapon for your success . . . You'll discover best practices for every stage, from querying production databases at a small startup all the way to setting up data marts for different business lines of an enterprise. In their work at Chartio, authors Fowler and David have learned that most businesspeople are almost completely self-taught when it comes to data. If they are using resources, those resources are outdated, so they're missing out on the latest cloud technologies and advances in data analytics. This book will firm up your understanding of data and bring you into the present with knowledge around what works and what doesn't. Discover the data stack strategies that are working for today's successful small, medium, and enterprise companies Learn the different Agile stages of data organization, and the right one for your team Learn how to maintain Data Lakes and Data Warehouses for effective, accessible data storage Gain the knowledge you need to architect Data Warehouses and Data Marts Understand your business's level of data sophistication and the steps you can take to get to "level up" your data The Informed Company is the definitive data book for anyone who wants to work faster and more nimbly, armed with actionable decision-making data.
Modern Data
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Author :
language : en
Publisher:
Release Date : 1976
Modern Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Electronic data processing categories.
The Modern Data Stack
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Author : Praveena Muralidharan
language : en
Publisher:
Release Date : 2025-11-07
The Modern Data Stack written by Praveena Muralidharan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Computers categories.
Description Discover dbt, the transformative backbone of modern analytics that applies software engineering rigor to SQL. It ensures trusted, accurate data through built-in testing, documentation, and a streamlined approach that replaces fragile ETL. dbt's vibrant ecosystem and simplicity accelerate the journey from raw data to insight. Its powerful integration with Snowflake leverages native, elastic scale for unparalleled performance and strengthened governance. Together, they redefine the analytics lifecycle, turning data chaos into clarity and excellence. Key Features Grasp dbt's core philosophy and its role in the modern data stack, from setup with Snowflake to dynamic Jinja SQL. Build a reliable data foundation, master model dependencies, and unlock advanced techniques like macros and materializations. Implement professional practices with packages, testing, and deploy production pipelines using dbt Cloud. What You Will Learn Start your dbt journey by learning its philosophy and connecting it to Snowflake. Progress from building basic SQL models to advanced techniques like macros and testing. Gain the confidence to deploy and schedule your own data pipelines. Who this book is for This book is designed for data professionals who are new to dbt and have a basic understanding of Snowflake and data warehousing. It's ideal for analysts, engineers, and developers who want to learn how to integrate dbt with Snowflake and build scalable cloud data warehouses.
Dbt Analytics Engineering Ithome
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Author : 謝秉芳（Karen Hsieh）、黃郁豪（Bruce Huang）、韓衣錦（Michael Han）、羅可涵（Stacy Lo）
language : zh-CN
Publisher: 博碩文化
Release Date : 2024-11-15
Dbt Analytics Engineering Ithome written by 謝秉芳（Karen Hsieh）、黃郁豪（Bruce Huang）、韓衣錦（Michael Han）、羅可涵（Stacy Lo） and has been published by 博碩文化 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
♛ 第一本 dbt 繁體中文書 ♛ 資料分析師與工程師必讀的技術及職涯實戰指南 本書改編自第 15 屆 iThome 鐵人賽 AI & Data 組優選系列文章《被 dbt 帶入門的數據工作體驗 30 想》及其團隊夥伴作品。四位作者由不同身份和視角出發，分享如何透過 dbt 實踐 Analytics Engineering（分析工程）。 dbt 是一個以 SQL 為基底的開源資料轉換工具，採用軟體工程原則，如版本控制、測試、模組化，讓資料轉換更可靠且高效。本書將帶你動手建立 dbt 專案，親自體驗其優勢。 Analytics Engineering 則是隨著資料產業演化而發展出的新興領域，介於資料分析和資料工程之間，且和兩者的部分任務重疊。 除技術外，書中也會討論資料文化、如何打造資料團隊，以及資料專業的職涯規劃和發展。無論新手或老手，本書都是能為你提供獨到見解的實用指南。 【重點摘要】 ✦ dbt 由淺入深 dbt Cloud 及 dbt Core 實作應用 ✦ 動手操作 附範例、語法、操作截圖 ✦ 資料分析必備 資料品質及建模最佳實踐 ✦ 打造資料文化 資料團隊現代化經典案例 【目標讀者】 任何工作中使用資料的人。包含： ◆ 參與資料專案的成員，不論你在資料部門，或是支援資料專案的軟體部門。你負責資料轉換成資訊的過程，想嘗試新工具，解決原本資料流程遇到的痛點。 ◆ 在工作上經常使用資料的角色，例如：行銷、Sales、PM、財務、營運人員等。你對資料、報表有好奇心、想知道資料轉換成資訊的過程，並且喜歡動手操作。 【專業推薦】 透過真實案例與深入見解，引導你有效導入 dbt，營造資料驅動環境。無論你是資料處理老手或新手，本書皆提供所需知識與工具，幫助組織進入資料引導決策的未來。 ──── 高嘉良（CL Kao）｜Recce, CEO 這本書涵蓋了打造優秀數據團隊所需的全方位知識，不僅適合技術人員閱讀，也非常適合產品經理、商業分析師等角色參考。 ──── Richard Lee｜TNL Mediagene 技術長 因緣際會被我推坑的 Taipei dbt Meetup 熱血志工群，融合真實經驗，以案例故事呈現 Data 如何貫穿企業，讓你認識 dbt 並一窺 Data Team 的重要定位。 ──── 陳正瑋（艦長）｜DevOps Taiwan Community 志工／前 Organizer
Modern Data Products Systems Services
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Author :
language : en
Publisher:
Release Date : 1974
Modern Data Products Systems Services written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Electronic data processing categories.