Understand the essentials of the Snowflake Database and the overall Snowflake Data Cloud. This book covers how Snowflake’s architecture is different from prior on-premises and cloud databases. The authors also discuss, from an insider perspective, how Snowflake grew so fast to become the largest software IPO of all time. Snowflake was the first database made specifically to be optimized with a cloud architecture. This book helps you get started using Snowflake by first understanding its architecture and what separates it from other database platforms you may have used. You will learn about setting up users and accounts, and then creating database objects. You will know how to load data into Snowflake and query and analyze that data, including unstructured data such as data in XML and JSON formats. You will also learn about Snowflake’s compute platform and the different data sharing options that are available. What You Will Learn Run analytics in the Snowflake Data Cloud Create users and roles in Snowflake Set up security in Snowflake Set up resource monitors in Snowflake Set up and optimize Snowflake Compute Load, unload, and query structured and unstructured data (JSON, XML) within Snowflake Use Snowflake Data Sharing to share data Set up a Snowflake Data Exchange Use the Snowflake Data Marketplace Who This Book Is For Database professionals or information technology professionals who want to move beyond traditional database technologies by learning Snowflake, a new and massively scalable cloud-based database solution

Prepare smarter, faster, and better with the premier study guide for Snowflake SnowPro Core certification Snowflake, a cloud-based data warehousing platform, has steadily gained popularity since its 2014 launch. Snowflake offers several certification exams, of which the SnowPro Core certification is the foundational exam. The SnowPro Core Certification validates an individual's grasp of Snowflake as a cloud data warehouse, its architectural fundamentals, and the ability to design, implement, and maintain secure, scalable Snowflake systems. Sybex’s Study Guide for Snowflake SnowPro Certification delivers comprehensive coverage of every relevant exam topic on the Snowflake SnowPro Core Certification test. Prepare efficiently and effectively for the exam with online practice tests and flashcards, a digital glossary, and concise and easy-to-follow instruction from the subject-matter experts at Sybex. You'll gain the necessary knowledge to help you succeed in the exam and will be able to apply the acquired practical skills to real-world Snowflake solutions. This Study Guide includes: Comprehensive understanding of Snowflake's unique shared data, multi-cluster architecture Guidance on loading structured and semi-structured data into Snowflake Utilizing data sharing, cloning, and time travel features Managing performance through clustering keys, scaling compute up, down & across Steps to account management and security configuration including RBAC & MFA All the info you need to obtain a highly valued credential for a rapidly growing new database software solution Access to the Sybex online learning center, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms Perfect for anyone considering a new career in cloud-based data warehouse solutions and related fields, Sybex’s Study Guide for Snowflake SnowPro Certification is also a must-read for veteran database professionals seeking an understanding of one of the newest and fastest-growing niches in data.

Managing Unstructured Data: NoSQL Database Essentials-is a reference book and guide for teaching and reading skills to college faculty and students. In Chapter1 the fundamentals of database and relational data base are discussed. This chapter helps students to understand data management concepts by data modelling, schema design, data storage and retrieval. This chapter includes the foundational skills that are applicable across various industries and provides a stepping stone for further specialization and career development. The chapter 2 is all about unstructured data. Varying methods for managing, analysing, and storing data are needed for varying levels of organization and complexity, which are represented by structured, unstructured, and semi-structured data. This chapter provides a platform for students to understand the transition from structured to unstructured data in terms of data management and analysis and it is a pivotal aspect of modern data management. In chapter 3 concepts of NoSQL data base and the major differences with SQL & Relational data bases are highlighted. This chapter explains the adoptions of NoSQL with flexible schema, scalability, high performance and support for distributed architecture. Chapter 4 is all about NoSQL databases, or "Not Only SQL" databases which represent a diverse set of database technologies designed to address specific challenges not well served by traditional relational databases. A brief overview of the main types of NoSQL databases are discussed here. The four basic data models such as key-value pairs, document-oriented, columnar, and graph-based structures are represented in this chapter. Information on popular NoSQL database technologies is given in chapter 5. Details of technologies like Apache HBase, Apache CouchDB, Neo4j, Apache Cassandra and their comparison are also provided here. It includes the distributed architecture with fault tolerance, high availability, and disaster recovery capabilities for ensuring data integrity and business continuity. Chapter 6 discusses the overview of Mongo DB which is a document-oriented NoSQL database known for its flexibility, scalability, and ease of use. The features of Mongo DB including document store, MongoDB protocol, horizontal scalability, cross platform compatibility, replication and sharding are also covered here. Chapter 7 deals with Concurrency control in databases. It discusses about the methods to obtain concurrency in structured data, and then in unstructured data, challenges in concurrency control for unstructured data, commits in transaction and the different isolation levels. Chapter 8 discusses on how unstructured data are used in big data processing. It includes Query processing performance evaluation in big data systems, the types od dirty data. Data cleansing is explained in detail with the steps in cleansing, exploratory data analysis, and data visualization. Hope this book on Managing Unstructured Data: NoSQL Database Essentials will provide a handy and useful reference book for teachers and students on Unstructured Database.

Crafters of all levels can easily crochet up a storm--or just make a simple snowflake or two. The designs range from simple ones requiring only a few rows to large intricate ones for more advanced stitchers.

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

Traders are constantly learning their craft. Those who do not share information, discuss tactics and review prior trades are doomed for failure. Global-View.com knows this. It is the leading destination for Forex traders looking to learn and discuss trading. With over 33,000 registered users from 125 countries, Global-View.com exposes its users to an incredible base of knowledge. In this book, the authors dissect each of 15 chosen trades, using the material to expose some of the best (and worst) practices of a Forex trader. The book weaves a plethora of Global-View.com information into the detailed dissection. Each description will include how the trade was selected and why it was made, as well as money management and psychological aspects of the trade. Entertaining anecdotal stories are interspersed throughout each trade story.