Cloud Data Warehousing Volume I PDF Download
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| Author | : Barry Devlin |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-05-24 |
| Genre | : |
| ISBN | : 9781634623360 |
Download Cloud Data Warehousing Volume I Book in PDF, ePub and Kindle
Let the sun shine through! The cloud in data warehousing skies is finally clearing as Dr. Barry Devlin builds the architectural and systems foundations for data lakehouse, data fabric, and data mesh, as well as the base cloud data warehouse. The past five years has seen an explosion of innovation and new technical forms as cloud data warehousing has gone mainstream. But confusion has grown too. After all, the business needs are largely unchanged. So, why are there so many options and approaches? How do they differ? Which one may be the best choice? And why? In this first volume of a two-part series, Dr. Barry Devlin-a founder of the entire data warehousing industry-offers initial answers these questions. Drawing lessons from the long history of data warehousing, he defines an all-embracing architecture and draws specific architectural design patterns for each of these modern approaches. And he discusses the various choices and paths from current systems to the different cloud solutions. Volume II expands further on the architectural considerations and offers deeper dives into cloud data warehouse, data fabric, data lakehouse, and data mesh. It also offers an independent view of their strengths and weaknesses.
| Author | : Barry Devlin |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-05-14 |
| Genre | : Business & Economics |
| ISBN | : 9781634623964 |
Download Cloud Data Warehousing Volume II Book in PDF, ePub and Kindle
Learn about randomness including key metrics such as entropy and ectropy, about uncertainty and its relationship to data science and artificial intelligence (AI), and about complex systems and their dependencies and benefits. We will also explore a variety of related applications including modern machine learning (ML) systems, modern AI, dimensionality reduction, and cybersecurity. Insightful questions asked throughout the video will be used to reinforce concepts and techniques. Here is a link to all of Zacharias Voulgaris' machine learning, data science, and artificial intelligence (AI) videos.
| Author | : Thomas C. Hammergren |
| Publisher | : John Wiley & Sons |
| Total Pages | : 511 |
| Release | : 2009-04-13 |
| Genre | : Computers |
| ISBN | : 0470482923 |
Download Data Warehousing For Dummies Book in PDF, ePub and Kindle
Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!
| Author | : Joseph Kraynak |
| Publisher | : For Dummies |
| Total Pages | : 48 |
| Release | : 2016-11-22 |
| Genre | : |
| ISBN | : 9781119351924 |
Download Cloud Data Warehousing Fd, Snowflake Special Edition (Custom) Book in PDF, ePub and Kindle
| Author | : Hamid Mahmood Qureshi |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 330 |
| Release | : 2021-02-25 |
| Genre | : Computers |
| ISBN | : 1800560184 |
Download Snowflake Cookbook Book in PDF, ePub and Kindle
Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations Key Features Build and scale modern data solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Make quicker and better-informed business decisions by uncovering key insights from your data Book Description Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What you will learn Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform Optimize performance and costs associated with a Snowflake solution Stage data on object stores and load it into Snowflake Secure data and share it efficiently for access Manage transactions and extend Snowflake using stored procedures Extend cloud data applications using Spark Connector Who this book is for This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.
| Author | : Marc Levinson |
| Publisher | : Princeton University Press |
| Total Pages | : 540 |
| Release | : 2016-04-05 |
| Genre | : Business & Economics |
| ISBN | : 0691170819 |
Download The Box Book in PDF, ePub and Kindle
In April 1956, a refitted oil tanker carried fifty-eight shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that reshaped manufacturing. But the container didn't just happen. Its adoption required huge sums of money, years of high-stakes bargaining, and delicate negotiation on standards. Now with a new chapter, The Box tells the dramatic story of how the drive and imagination of an iconoclastic entrepreneur turned containerization from an impractical idea into a phenomenon that transformed economic geography, slashed transportation costs, and made the boom in global trade possible. -- from back cover.
| Author | : Ralph Kimball |
| Publisher | : John Wiley & Sons |
| Total Pages | : 464 |
| Release | : 2011-08-08 |
| Genre | : Computers |
| ISBN | : 1118082141 |
Download The Data Warehouse Toolkit Book in PDF, ePub and Kindle
This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
| Author | : James Densmore |
| Publisher | : O'Reilly Media |
| Total Pages | : 277 |
| Release | : 2021-02-10 |
| Genre | : Computers |
| ISBN | : 1492087807 |
Download Data Pipelines Pocket Reference Book in PDF, ePub and Kindle
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
| Author | : Matt How |
| Publisher | : Apress |
| Total Pages | : 297 |
| Release | : 2020-06-15 |
| Genre | : Computers |
| ISBN | : 1484258231 |
Download The Modern Data Warehouse in Azure Book in PDF, ePub and Kindle
Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. What You Will LearnChoose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestionCreate advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is For Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge
| Author | : Mark Humphries |
| Publisher | : Prentice Hall Professional |
| Total Pages | : 384 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9780130809025 |
Download Data Warehousing Book in PDF, ePub and Kindle
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