The Data Vault Guru PDF Download
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| Author | : Patrick Cuba |
| Publisher | : |
| Total Pages | : 676 |
| Release | : 2020-10-06 |
| Genre | : |
| ISBN | : |
Download The Data Vault Guru Book in PDF, ePub and Kindle
The data vault methodology presents a unique opportunity to model the enterprise data warehouse using the same automation principles applicable in today's software delivery, continuous integration, continuous delivery and continuous deployment while still maintaining the standards expected for governing a corporation's most valuable asset: data. This book provides at first the landscape of a modern architecture and then as a thorough guide on how to deliver a data model that flexes as the enterprise flexes, the data vault. Whether the data is structured, semi-structured or even unstructured one thing is clear, there is always a model either applied early (schema-on-write) or applied late (schema-on-read). Today's focus on data governance requires that we know what we retain about our customers, the data vault provides that focus by delivering a methodology focused on all aspects about the customer and provides some of the best practices for modern day data compliance.The book will delve into every data vault modelling artefact, its automation with sample code, raw vault, business vault, testing framework, a build framework, sample data vault models, how to build automation patterns on top of a data vault and even offer an extension of data vault that provides automated timeline correction, not to mention variation of data vault designed to provide audit trails, metadata control and integration with agile delivery tools.
| Author | : Daniel Linstedt |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 684 |
| Release | : 2015-09-15 |
| Genre | : Computers |
| ISBN | : 0128026480 |
Download Building a Scalable Data Warehouse with Data Vault 2.0 Book in PDF, ePub and Kindle
The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
| Author | : Kent Graziano |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2015-11-22 |
| Genre | : |
| ISBN | : 9781796584936 |
Download An Introduction to Agile Data Engineering Using Data Vault 2. 0 Book in PDF, ePub and Kindle
The world of data warehousing is changing. Big Data & Agile are hot topics. But companies still need to collect, report, and analyze their data. Usually this requires some form of data warehousing or business intelligence system. So how do we do that in the modern IT landscape in a way that allows us to be agile and either deal directly or indirectly with unstructured and semi structured data?The Data Vault System of Business Intelligence provides a method and approach to modeling your enterprise data warehouse (EDW) that is agile, flexible, and scalable. This book will give you a short introduction to Agile Data Engineering for Data Warehousing and Data Vault 2.0. I will explain why you should be trying to become Agile, some of the history and rationale for Data Vault 2.0, and then show you the basics for how to build a data warehouse model using the Data Vault 2.0 standards.In addition, I will cover some details about the Business Data Vault (what it is) and then how to build a virtual Information Mart off your Data Vault and Business Vault using the Data Vault 2.0 architecture.So if you want to start learning about Agile Data Engineering with Data Vault 2.0, this book is for you.
| Author | : John Giles |
| Publisher | : |
| Total Pages | : 302 |
| Release | : 2019-04-15 |
| Genre | : Computers |
| ISBN | : 9781634624893 |
Download The Elephant in the Fridge Book in PDF, ePub and Kindle
You want the rigor of good data architecture at the speed of agile? Then this is the missing link - your step-by-step guide to Data Vault success. Success with a Data Vault starts with the business and ends with the business. Sure, there's some technical stuff in the middle, and it is absolutely essential - but it's not sufficient on its own. This book will help you shape the business perspective, and weave it into the more technical aspects of Data Vault modeling. You can read the foundational books and go on courses, but one massive risk still remains. Dan Linstedt, the founder of the Data Vault, very clearly directs those building a Data Vault to base its design on an "enterprise ontology". And Hans Hultgren similarly stresses the importance of the business concepts model. So it's important. We get that. But: What on earth is an enterprise ontology/business concept model, 'cause I won't know if I've got one if I don't know what I'm looking for? If I can't find one, how do I get my hands on such a thing? Even if I have one of these wonderful things, how do I apply it to get the sort of Data Vault that's recommended? It's actually not as hard as some would fear to answer all of these questions, and it's certainly worth the effort. This book just might save you a world of pain. It's a supplement to other material on Data Vault modeling, but it's the vital missing link to finding simplicity for Data Vault success.
| Author | : Ralph Hughes |
| Publisher | : Newnes |
| Total Pages | : 379 |
| Release | : 2012-12-28 |
| Genre | : Computers |
| ISBN | : 0123965179 |
Download Agile Data Warehousing Project Management Book in PDF, ePub and Kindle
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart. Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track Includes strategies for getting accurate and actionable requirements from a team’s business partner Revolutionary estimating techniques that make forecasting labor far more understandable and accurate Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties Enables you and your teams to start simple and progress steadily to world-class performance levels
| Author | : Ken Collier |
| Publisher | : Addison-Wesley |
| Total Pages | : 368 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 032150481X |
Download Agile Analytics Book in PDF, ePub and Kindle
Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.
| Author | : Bas P. Harenslak |
| Publisher | : Simon and Schuster |
| Total Pages | : 478 |
| Release | : 2021-04-27 |
| Genre | : Computers |
| ISBN | : 1617296902 |
Download Data Pipelines with Apache Airflow Book in PDF, ePub and Kindle
This book teaches you how to build and maintain effective data pipelines. Youll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. --
| Author | : Namita Devidayal |
| Publisher | : Random House India |
| Total Pages | : 254 |
| Release | : 2011-11-20 |
| Genre | : Fiction |
| ISBN | : 818400236X |
Download The Music Room Book in PDF, ePub and Kindle
When Namita is ten, her mother takes her to Dhondutai, a respected Mumbai music teacher from the great Jaipur Gharana. Dhondutai has dedicated herself to music and her antecedents are rich. She is the only remaining student of the legendary Alladiya Khan, the founder of the gharana and of its most famous singer, the tempestuous songbird, Kesarbai Kerkar. Namita begins to learn singing from Dhondutai, at first reluctantly and then, as the years pass, with growing passion. Dhondutai sees in her a second Kesar, but does Namita have the dedication to give herself up completely to music—or will there always be too many late nights and cigarettes? Beautifully written, full of anecdotes, gossip and legend, The Music Room is perhaps the most intimate book to be written about Indian classical music yet.
| Author | : Zhamak Dehghani |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 387 |
| Release | : 2022-03-08 |
| Genre | : Computers |
| ISBN | : 1492092363 |
Download Data Mesh Book in PDF, ePub and Kindle
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
| Author | : Geoffrey D. Falk |
| Publisher | : |
| Total Pages | : 536 |
| Release | : 2009-06 |
| Genre | : Biography & Autobiography |
| ISBN | : 9780973620313 |
Download Stripping the Gurus Book in PDF, ePub and Kindle
"Armed with wit, insight, and truly astonishing research, Falk utterly demolishes the notion of the enlightened guru who can lead devotees to nirvana.--John Horgan, author of "Rational Mysticism."
