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Master the intricacies of Snowflake and prepare for the SnowPro Advanced Architect Certification exam with this comprehensive study companion. This book provides robust and effective study tools to help you prepare for the exam and is also designed for those who are interested in learning the advanced features of Snowflake. The practical examples and in-depth background on theory in this book help you unleash the power of Snowflake in building a high-performance system. The best practices demonstrated in the book help you use Snowflake more powerfully and effectively as a data warehousing and analytics platform. Reading this book and reviewing the concepts will help you gain the knowledge you need to take the exam. The book guides you through a study of the different domains covered on the exam: Accounts and Security, Snowflake Architecture, Data Engineering, and Performance Optimization. You’ll also be well positioned to apply your newly acquired practical skills to real-world Snowflake solutions. You will have a deep understanding of Snowflake to help you take full advantage of Snowflake’s architecture to deliver value analytics insight to your business. What You Will Learn Gain the knowledge you need to prepare for the exam Review in-depth theory on Snowflake to help you build high-performance systems Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Optimize performance and costs associated with your use of the Snowflake data platform Share data securely both inside your organization and with external partners Apply your practical skills to real-world Snowflake solutions Who This Book Is For Anyone who is planning to take the SnowPro Advanced Architect Certification exam, those who want to move beyond traditional database technologies and build their skills to design and architect solutions using Snowflake services, and veteran database professionals seeking an on-the-job reference to understand one of the newest and fastest-growing technologies in data
Need help with the 10-20% you might still need to get over the 75% finish line? Look no further! Get an extra 10-20% to pass these SnowPro exams, from expert professional advice selected exam-like questions. Learn from my own experience with certification exams at all levels what it takes to succeed. Use my selected small but focused practice tests to learn new tricks and avoid failing critical SnowPro exam questions. Get my personal opinion about details on these SnowPro certification exams nobody talked about. All questions from the Study Guides are provided as additional quizzes, with added answers and references. I have one special section dedicated to each of the six SnowPro Certifications, structured in a similar manner.
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.
Use this invaluable study companion and hands-on guide to help you prepare for the AZ-300 and AZ-303 certification exam and get well on your way to becoming an Azure Solutions Architect. The book starts with an overview of public, private, and hybrid clouds and then goes into configuration of virtual machines. Azure Resource Manager (ARM) and VM encryption are discussed along with Azure Monitor. You will learn how to work with Azure recommendations and analyze your resource configuration. Storage solutions, connecting to networks, and Azure Active Directory are discussed in depth, with examples. You will be able to migrate servers to Azure and demonstrate server-less computing, load balancing, and app services in Azure. You also will learn about Service Fabric, Azure Kubernetes services, and data security in Azure. Cosmos DB and Relational DB are covered and you will know how to connect to cloud databases using SQL Server Management Studio (SSMS). The book presents exercises, practice questions, and Azure architecture best practices. What Will You Learn Be able to speak with customers, understand their infrastructure, and provide a blueprint to migrate their framework to Azure Go beyond moving on-premise frameworks to Azure and design solutions on Azure from the start Know Azure architecture best practices to optimize Azure deployments Complete practice exercises to prepare for exam lab assignments Take a mock exam for practice Who This Book Is For Azure developers, Azure Solution Architects, and those aspiring to fill these roles, who possess some familiarity with cloud computing
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.
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
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.
This study companion helps you prepare for the SnowPro Core Certification exam. The author guides your studies so you will not have to tackle the exam by yourself. To help you track your progress, chapters in this book correspond to the exam domains as described on Snowflake’s website. Upon studying the material in this book, you will have solid knowledge that should give you the best shot possible at taking and passing the exam and earning the certification you deserve. Each chapter provides explanations, instructions, guidance, tips, and other information with the level of detail that you need to prepare for the exam. You will not waste your time with unneeded detail and advanced content which is out of scope of the exam. Focus is kept on reviewing the materials and helping you become familiar with the content of the exam that is recommended by Snowflake. This Book Helps You Review the domains that Snowflake specifically recommends you study in preparation for Exam COF-C02 Identify gaps in your knowledge that you can study and fill in to increase your chances of passing Exam COF-C02 Level up your knowledge even if not taking the exam, so you know the same material as someone who has taken the exam Learn how to set up a Snowflake account and configure access according to recommended security best practices Be capable of loading structured and unstructured data into Snowflake as well as unloading data from Snowflake Understand how to apply Snowflake data protection features such as cloning, time travel, and fail safe Review Snowflake’s data sharing capabilities, including data marketplace and data exchange Who This Book Is For Those who are planning to take the SnowPro Core Certification COF-C02 exam, and anyone who wishes to gain core expertise in implementing and migrating to the Snowflake Data Cloud
The Mexican American woman zoot suiter, or pachuca, often wore a V-neck sweater or a long, broad-shouldered coat, a knee-length pleated skirt, fishnet stockings or bobby socks, platform heels or saddle shoes, dark lipstick, and a bouffant. Or she donned the same style of zoot suit that her male counterparts wore. With their striking attire, pachucos and pachucas represented a new generation of Mexican American youth, which arrived on the public scene in the 1940s. Yet while pachucos have often been the subject of literature, visual art, and scholarship, The Woman in the Zoot Suit is the first book focused on pachucas. Two events in wartime Los Angeles thrust young Mexican American zoot suiters into the media spotlight. In the Sleepy Lagoon incident, a man was murdered during a mass brawl in August 1942. Twenty-two young men, all but one of Mexican descent, were tried and convicted of the crime. In the Zoot Suit Riots of June 1943, white servicemen attacked young zoot suiters, particularly Mexican Americans, throughout Los Angeles. The Chicano movement of the 1960s–1980s cast these events as key moments in the political awakening of Mexican Americans and pachucos as exemplars of Chicano identity, resistance, and style. While pachucas and other Mexican American women figured in the two incidents, they were barely acknowledged in later Chicano movement narratives. Catherine S. Ramírez draws on interviews she conducted with Mexican American women who came of age in Los Angeles in the late 1930s, 1940s, and 1950s as she recovers the neglected stories of pachucas. Investigating their relative absence in scholarly and artistic works, she argues that both wartime U.S. culture and the Chicano movement rejected pachucas because they threatened traditional gender roles. Ramírez reveals how pachucas challenged dominant notions of Mexican American and Chicano identity, how feminists have reinterpreted la pachuca, and how attention to an overlooked figure can disclose much about history making, nationalism, and resistant identities.
It's time to extract, transform, and load your skills on managing enterprise data With this book on SAP Data Services, you'll be an expert in no time. After learning about topics like planning, blueprinting, and integrating SAP Data Services, you'll get into the core of the book - detailed steps on how to perform Data Services tasks. Get the skills you need for your daily job, from basic tasks like designing objects, to advanced duties like analyzing unstructured text. Starting with Data Services Set up your Data Services foundation. Learn how to plan for Data Services in your organization, then how to install, configure, and get working with it. Data Services Tasks Regardless of your skillset, you'll find essential information on the tasks you'll encounter when working with Data Services. Learn how to architect jobs with performance, transparency, supportability, and cost in mind. Integration Data Services plays well with others. This book explores two common integration scenarios: data warehousing and retail environments. Learn how to overcome common challenges and see frequently used scenarios. Highlights: Data Services architecture and OS Enterprise information management Installation: Windows and Linux Configuration Troubleshooting Data Services objects Datastores Data Services scripting language Social media analytics Information Steward Integration: data warehousing and retail