Snowflake Cookbook
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Snowflake Cookbook
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Author : Hamid Mahmood Qureshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-25
Snowflake Cookbook written by Hamid Mahmood Qureshi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with Computers categories.
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.
The Gourmet Cookbook
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Author : Ruth Reichl
language : en
Publisher: Houghton Mifflin Harcourt
Release Date : 2006
The Gourmet Cookbook written by Ruth Reichl and has been published by Houghton Mifflin Harcourt this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Cooking categories.
Gathers recipes published in Gourmet magazine over the last six decades, including beef Wellington, seared salmon with balsamic glaze, and other entrées, hors d'oeuvres, side dishes, ethnic specialties, and desserts.
Databricks Lakehouse Platform Cookbook
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Author : Dr. Alan L. Dennis
language : en
Publisher: BPB Publications
Release Date : 2023-12-18
Databricks Lakehouse Platform Cookbook written by Dr. Alan L. Dennis and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
Analyze, Architect, and Innovate with Databricks Lakehouse KEY FEATURES ● Create a Lakehouse using Databricks, including ingestion from source to Bronze. ● Refinement of Bronze items to business-ready Silver items using incremental methods. ● Construct Gold items to service the needs of various business requirements. DESCRIPTION The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results. This definitive guide walks you through the entire Lakehouse journey, from setting up your environment, and connecting to storage, to creating Delta tables, building data models, and ingesting and transforming data. We start off by discussing how to ingest data to Bronze, then refine it to produce Silver. Next, we discuss how to create Gold tables and various data modeling techniques often performed in the Gold layer. You will learn how to leverage Spark SQL and PySpark for efficient data manipulation, apply Delta Live Tables for real-time data processing, and implement Machine Learning and Data Science workflows with MLflow, Feature Store, and AutoML. The book also delves into advanced topics like graph analysis, data governance, and visualization, equipping you with the necessary knowledge to solve complex data challenges. By the end of this cookbook, you will be a confident Lakehouse expert, capable of designing, building, and managing robust data-driven solutions. WHAT YOU WILL LEARN ● Design and build a robust Databricks Lakehouse environment. ● Create and manage Delta tables with advanced transformations. ● Analyze and transform data using SQL and Python. ● Build and deploy machine learning models for actionable insights. ● Implement best practices for data governance and security. WHO THIS BOOK IS FOR This book is meant for Data Engineers, Data Analysts, Data Scientists, Business intelligence professionals, and Architects who want to go to the next level of Data Engineering using the Databricks platform to construct Lakehouses. TABLE OF CONTENTS 1. Introduction to Databricks Lakehouse 2. Setting Up a Databricks Workspace 3. Connecting to Storage 4. Creating Delta Tables 5. Data Profiling and Modeling in the Lakehouse 6. Extracting from Source and Loading to Bronze 7. Transforming to Create Silver 8. Transforming to Create Gold for Business Purposes 9. Machine Learning and Data Science 10. SQL Analysis 11. Graph Analysis 12. Visualizations 13. Governance 14. Operations 15. Tips, Tricks, Troubleshooting, and Best Practices
Higgidy The Cookbook
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Author : Camilla Stephens
language : en
Publisher: Hachette UK
Release Date : 2018-10-04
Higgidy The Cookbook written by Camilla Stephens and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-04 with Cooking categories.
Higgidy is known for its scrumptious pies and tarts. In this updated edition of their debut cookbook, co-founder and chief pie maker Camilla Stephens ventures beyond pastry with new recipes for healthy and delicious frittatas and more. Also included of course are mouth-watering Higgidy classics such as Chicken Pot Pie, the Best Quiche Lorraine and Salted Pecan Fudge Pie. From chapters on Simple Suppers and Crafty Quiches to Party Pies and Sweet Treats, all your cooking needs are covered, so you can enjoy a Simple Fish Pie for an after-work supper, Lemony Asparagus & Ricotta Tart for a summer picnic, Little Hot Dog Rolls and Mini Chorizo and Chilli Tartlets for a party and a Chocolate Snowflake Tart for a wintry treat. With Camilla's expert guidance on foolproof pastry techniques added in, this is a wonderful source of heartwarming recipes for family and friends.
Princess Party Cookbook
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Author : Annabel Karmel
language : en
Publisher: Simon and Schuster
Release Date : 2010-10-26
Princess Party Cookbook written by Annabel Karmel and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-26 with Cooking categories.
Every little girl dreams of being a princess . . . And there’s nothing a princess likes more than throwing a party! This enchanting new book allows you to indulge the princess in your little girl with recipes and ideas designed to feed her imagination and encourage her participation in the kitchen. From Fairy Finger Sandwiches and Rice Krispies Hearts to Emerald Pizza, Ruby-Glazed Chicken, and Gelatin Gems, these are magical, delicious dishes fit for a royal banquet. You’ll be able to celebrate every occasion in style, with Snowflake Cupcakes for the holidays, Pretzel Broomsticks for Halloween, and Tropical Smoothies for the beach. Filled with ideas for creating themed invitations and table settings, plus tips for making jewelry, gifts, and decorations, this is truly the indispensable guide to the perfect princess party!
Time Series Analysis With Python Cookbook
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Author : Tarek A. Atwan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-06-30
Time Series Analysis With Python Cookbook written by Tarek A. Atwan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Computers categories.
Perform time series analysis and forecasting confidently with this Python code bank and reference manual Key Features • Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms • Learn different techniques for evaluating, diagnosing, and optimizing your models • Work with a variety of complex data with trends, multiple seasonal patterns, and irregularities Book Description Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, ACF and PACF plots, and decomposing time series data with multiple seasonal patterns. Later, you'll work with ML and DL models using TensorFlow and PyTorch. Finally, you'll learn how to evaluate, compare, optimize models, and more using the recipes covered in the book. What you will learn • Understand what makes time series data different from other data • Apply various imputation and interpolation strategies for missing data • Implement different models for univariate and multivariate time series • Use different deep learning libraries such as TensorFlow, Keras, and PyTorch • Plot interactive time series visualizations using hvPlot • Explore state-space models and the unobserved components model (UCM) • Detect anomalies using statistical and machine learning methods • Forecast complex time series with multiple seasonal patterns Who this book is for This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis and forecasting techniques. Fundamental knowledge of Python programming is required. Although having a basic math and statistics background will be beneficial, it is not necessary. Prior experience working with time series data to solve business problems will also help you to better utilize and apply the different recipes in this book.
Tableau 2019 X Cookbook
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Author : Dmitry Anoshin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Tableau 2019 X Cookbook written by Dmitry Anoshin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key FeaturesUnique problem-solution approach to aid effective business decision-makingCreate interactive dashboards and implement powerful business intelligence solutionsIncludes best practices on using Tableau with modern cloud analytics servicesBook Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learnUnderstand the basic and advanced skills of Tableau DesktopImplement best practices of visualization, dashboard, and storytellingLearn advanced analytics with the use of build in statisticsDeploy the multi-node server on Linux and WindowsUse Tableau with big data sources such as Hadoop, Athena, and SpectrumCover Tableau built-in functions for forecasting using R packagesCombine, shape, and clean data for analysis using Tableau PrepExtend Tableau’s functionalities with REST API and R/PythonWho this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.
Amazon Redshift Cookbook
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Author : Shruti Worlikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-23
Amazon Redshift Cookbook written by Shruti Worlikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Computers categories.
Discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions Key FeaturesDiscover how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operations processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesBook Description Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift. This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. Finally, you'll gain a clear understanding of Redshift use cases, data ingestion, data management, security, and scaling so that you can build a scalable data warehouse platform. By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems. What you will learnUse Amazon Redshift to build petabyte-scale data warehouses that are agile at scaleIntegrate your data warehousing solution with a data lake using purpose-built features and services on AWSBuild end-to-end analytical solutions from data sourcing to consumption with the help of useful recipesLeverage Redshift's comprehensive security capabilities to meet the most demanding business requirementsFocus on architectural insights and rationale when using analytical recipesDiscover best practices for working with big data to operate a fully managed solutionWho this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, such as data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, and cloud concepts and familiarity with Redshift will be beneficial.
The Wicca Cookbook Second Edition
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Author : Jamie Wood
language : en
Publisher: Celestial Arts
Release Date : 2014-12-02
The Wicca Cookbook Second Edition written by Jamie Wood and has been published by Celestial Arts this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-02 with Cooking categories.
The spiritual tenets of Wicca are steeped in an inherent reverence for nature and stewardship of the environment. In fact, Wiccan practitioners have been living—and cooking—green since ancient times. In the decade since the first edition of the The Wicca Cookbook cast its spell over culinary history buffs and adventurous cooks everywhere, many readers have asked “What makes a cookbook Wiccan?” The tenth anniversary edition answers that question and more, bringing fresh dimensions to this heady witches’ brew with new rituals and delicious recipes. More than 100 dishes, many historically authentic, all meticulously researched, emphasize the use of organic ingredients at their seasonal peak and celebrate all the major pagan holidays: enjoy Stuffed Nasturtiums, Goddess Athena Pitas, and Deva Saffron Bread for the Spring Equinox; serve Elder Flower Chicken, Lilith’s Lily Fair Soup, and Wild Woman White Sage Jelly during the Summer Solstice; and Cupid’s Cold Slaw, Imbolc Moon Cookies, and Snowflake Cakes make delightful Candlemas treats. Nature-honoring dishes, eco-friendly living tips, and an inclusive message of spirituality make The Wicca Cookbook a unique contribution to the culinary world and a magickal tribute to the pagan spirit.
Jumpstart Snowflake
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Author : Dmitry Anoshin
language : en
Publisher: Apress
Release Date : 2019-12-20
Jumpstart Snowflake written by Dmitry Anoshin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-20 with Computers categories.
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