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Author: Ganesh Bharathan
Publisher: Orange Education Pvt Ltd
ISBN: 8197223939
Category : Computers
Languages : en
Pages : 186
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Book Description
"Unlocking the Power of Snowflake: Unveiling the Architectural Wonders of Modern Data Management" KEY FEATURES ● Learn from real client experiences for practical deployment and administration. ● Design secure and high-performance data architectures. ● Develop seamless data pipelines for creation, transformation, and consumption. ● Utilize Snowflake Data Exchange for collaborative data sets and insights. DESCRIPTION Unlock the revolutionary world of Snowflake with this comprehensive book which offers invaluable insights into every aspect of Snowflake architecture and management. Beginning with an introduction to Snowflake's architecture and key concepts, you will learn about cloud data warehousing principles like Star and Snowflake schemas to master efficient data organization. Advancing to topics such as distributed systems and data loading techniques, you will discover how Snowflake manages data storage and processing for scalability and optimized performance. Covering security features like encryption and access control, the book will equip you with the tools to ensure data confidentiality and compliance. The book also covers expert insights into performance optimization and schema design, equipping you with techniques to unleash Snowflake's full potential. By the end, you will have a comprehensive understanding of Snowflake's architecture and be empowered to leverage its features for valuable insights from massive datasets. WHAT WILL YOU LEARN ● Understand the foundational principles of Snowflake architecture and its core components ● Efficiently manage organizations and accounts within the Snowflake environment ● Leverage virtual warehouse compute to scale processing capabilities effectively ● Implement role-based access control to ensure robust data security measures ● Establish comprehensive data governance practices tailored to Snowflake ● Apply the security framework provided by Snowflake to safeguard data assets ● Implement deployment considerations for seamless integration into existing systems ● Optimize data storage strategies to maximize efficiency and performance ● Explore the Snowflake Marketplace for additional resources and solutions ● Extend Snowflake's functionality using Snowpark for enhanced data processing capabilities WHO IS THIS BOOK FOR? The book is designed for data professionals, including database administrators, data engineers, solution architects, and enterprise data architects, seeking to optimize their data management and analysis with Snowflake architecture. Proficiency in SQL, data warehousing, cloud computing, distributed systems, data loading/integration, security, performance optimization, and schema design are essential prerequisites. Whether you're a beginner, intermediate, or advanced user, this book caters to all proficiency levels. TABLE OF CONTENTS 1. Getting Started with Snowflake Architecture 2. Managing Organizations and Accounts 3. Virtual Warehouse Compute 4. Role-Based Access Control 5. Snowflake Data Governance 6. Snowflake Security Framework 7. Deployment Considerations 8. Data Storage in Snowflake 9. Snowflake Marketplace: 10. Snowpark Index
Author: Ganesh Bharathan
Publisher: Orange Education Pvt Ltd
ISBN: 8197223939
Category : Computers
Languages : en
Pages : 186
Get Book Here
Book Description
"Unlocking the Power of Snowflake: Unveiling the Architectural Wonders of Modern Data Management" KEY FEATURES ● Learn from real client experiences for practical deployment and administration. ● Design secure and high-performance data architectures. ● Develop seamless data pipelines for creation, transformation, and consumption. ● Utilize Snowflake Data Exchange for collaborative data sets and insights. DESCRIPTION Unlock the revolutionary world of Snowflake with this comprehensive book which offers invaluable insights into every aspect of Snowflake architecture and management. Beginning with an introduction to Snowflake's architecture and key concepts, you will learn about cloud data warehousing principles like Star and Snowflake schemas to master efficient data organization. Advancing to topics such as distributed systems and data loading techniques, you will discover how Snowflake manages data storage and processing for scalability and optimized performance. Covering security features like encryption and access control, the book will equip you with the tools to ensure data confidentiality and compliance. The book also covers expert insights into performance optimization and schema design, equipping you with techniques to unleash Snowflake's full potential. By the end, you will have a comprehensive understanding of Snowflake's architecture and be empowered to leverage its features for valuable insights from massive datasets. WHAT WILL YOU LEARN ● Understand the foundational principles of Snowflake architecture and its core components ● Efficiently manage organizations and accounts within the Snowflake environment ● Leverage virtual warehouse compute to scale processing capabilities effectively ● Implement role-based access control to ensure robust data security measures ● Establish comprehensive data governance practices tailored to Snowflake ● Apply the security framework provided by Snowflake to safeguard data assets ● Implement deployment considerations for seamless integration into existing systems ● Optimize data storage strategies to maximize efficiency and performance ● Explore the Snowflake Marketplace for additional resources and solutions ● Extend Snowflake's functionality using Snowpark for enhanced data processing capabilities WHO IS THIS BOOK FOR? The book is designed for data professionals, including database administrators, data engineers, solution architects, and enterprise data architects, seeking to optimize their data management and analysis with Snowflake architecture. Proficiency in SQL, data warehousing, cloud computing, distributed systems, data loading/integration, security, performance optimization, and schema design are essential prerequisites. Whether you're a beginner, intermediate, or advanced user, this book caters to all proficiency levels. TABLE OF CONTENTS 1. Getting Started with Snowflake Architecture 2. Managing Organizations and Accounts 3. Virtual Warehouse Compute 4. Role-Based Access Control 5. Snowflake Data Governance 6. Snowflake Security Framework 7. Deployment Considerations 8. Data Storage in Snowflake 9. Snowflake Marketplace: 10. Snowpark Index
Author: Hamid Mahmood Qureshi
Publisher: Packt Publishing Ltd
ISBN: 1800560184
Category : Computers
Languages : en
Pages : 330
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Book Description
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: Frank Slootman
Publisher: AuthorHouse
ISBN: 1728373069
Category : Business & Economics
Languages : en
Pages : 206
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Book Description
The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.
Author: Ralph Kimball
Publisher: John Wiley & Sons
ISBN: 1118082141
Category : Computers
Languages : en
Pages : 464
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Book Description
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: Dmitry Anoshin
Publisher: Apress
ISBN: 1484253280
Category : Computers
Languages : en
Pages : 270
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Book Description
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. What You Will Learn Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Who This Book Is For Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users
Author: Marc Levinson
Publisher: Princeton University Press
ISBN: 0691170819
Category : Business & Economics
Languages : en
Pages : 540
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Book Description
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: Daniel Linstedt
Publisher: Morgan Kaufmann
ISBN: 0128026480
Category : Computers
Languages : en
Pages : 684
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Book Description
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: Piethein Strengholt
Publisher: "O'Reilly Media, Inc."
ISBN: 1492054739
Category : Computers
Languages : en
Pages : 404
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Book Description
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Author: Shankar Narayanan SGS
Publisher: Packt Publishing Ltd
ISBN: 1805124455
Category : Computers
Languages : en
Pages : 254
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Book Description
Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowflake Snowpark using Python Key Features Get to grips with Snowflake Snowpark’s basic and advanced features Implement workloads in domains like data engineering, data science, and data applications using Snowpark with Python Deploy Snowpark in production with practical examples and best practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSnowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully. The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services. By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.What you will learn Harness Snowpark with Python for diverse workloads Develop robust data pipelines with Snowpark using Python Deploy mature machine learning models Explore the process of developing, deploying, and monetizing native apps using Snowpark Deploy and operate containers in Snowpark Discover the pathway to adopting Snowpark effectively in production Who this book is for This book is for data engineers, data scientists, developers, and data practitioners seeking an in-depth understanding of Snowpark’s features and best practices for deploying various workloads in Snowpark using the Python programming language. Basic knowledge of SQL, proficiency in Python, an understanding of data engineering and data science basics, and familiarity with the Snowflake Data Cloud platform are required to get the most out of this book.
Author: Bill Schmarzo
Publisher: John Wiley & Sons
ISBN: 1118740009
Category : Business & Economics
Languages : en
Pages : 245
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Book Description
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
