Cloud Data Warehousing Fd, Snowflake Special Edition (Custom)
Author: Joseph Kraynak
Publisher: For Dummies
Published: 2016-11-22
Total Pages: 48
ISBN-13: 9781119351924
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Sailing For Dummies
Author: J. J. Isler
Publisher: John Wiley & Sons
Published: 2011-03-03
Total Pages: 53
ISBN-13: 1118052919
DOWNLOAD EBOOKInterested in learning to sail but feel like you’re navigating in murky waters? Sailing for Dummies, Second Edition introduces the basics of sailing, looks at the different types of sailboats and their basic parts, and teaches you everything you need to know before you leave the dock. In Sailing for Dummies, Second Edition, two U.S. sailing champions show you how to: Find and choose a sailing school Use life jackets correctly Tie ten nautical knots Handle sailing emergencies (such as capsizing and rescuing a man overboard) Launch your boat from a trailer, ramp, or beach Get your boat from point A to point B (and back again) Predict and respond to water and wind conditions Read charts, plot your course, use a compass, and find your position at sea Sailing for Dummies shows you that getting out on the water is easier than you think. The authors keep the sailor-speak to a minimum where possible, but give you a grasp of the terminology you need to safely and effectively communicate with your crew. A textbook, user’s manual, and reference all in one, this book takes the intimidation out of sailing and gives you the skills and confidence you need to get your feet wet and become the sailing pro you’ve always wanted to be. Anchors away!
The Data Warehouse Toolkit
Author: Ralph Kimball
Publisher: John Wiley & Sons
Published: 2011-08-08
Total Pages: 464
ISBN-13: 1118082141
DOWNLOAD EBOOKThis 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.
Database Administration
Author: Craig Mullins
Publisher: Addison-Wesley Professional
Published: 2002
Total Pages: 736
ISBN-13: 9780201741292
DOWNLOAD EBOOKGiving comprehensive, soup-to-nuts coverage of database administration, this guide is written from a platform-independent viewpoint, emphasizing best practices.
Beginning Database Design
Author: Gavin Powell
Publisher: John Wiley & Sons
Published: 2006
Total Pages: 496
ISBN-13: 0764574906
DOWNLOAD EBOOKFrom the #1 source for computing information, trusted by more than six million readers worldwide.
Big Data Beyond the Hype
Author: Zikopoulos
Publisher: McGraw-Hill/Osborne Media
Published: 2014-11-10
Total Pages: 392
ISBN-13: 9780071844659
DOWNLOAD EBOOKBig Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world's fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
Snowflake Cookbook
Author: Hamid Mahmood Qureshi
Publisher: Packt Publishing Ltd
Published: 2021-02-25
Total Pages: 330
ISBN-13: 1800560184
DOWNLOAD EBOOKDevelop 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.
Data Pipelines with Apache Airflow
Author: Bas P. Harenslak
Publisher: Simon and Schuster
Published: 2021-04-27
Total Pages: 478
ISBN-13: 1617296902
DOWNLOAD EBOOKThis 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. --
SQL for Data Scientists
Author: Renee M. P. Teate
Publisher: John Wiley & Sons
Published: 2021-08-17
Total Pages: 400
ISBN-13: 1119669391
DOWNLOAD EBOOKJump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!
Data Lakes
Author: Anne Laurent
Publisher: John Wiley & Sons
Published: 2020-06-03
Total Pages: 244
ISBN-13: 1786305852
DOWNLOAD EBOOKThe concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.
