Ten years ago, former New York Times food columnist Molly O’Neill embarked on a transcontinental road trip to investigate reports that Americans had stopped cooking at home. As she traveled highways, dirt roads, bayous, and coastlines gathering stories and recipes, it was immediately apparent that dire predictions about the end of American cuisine were vastly overstated. From Park Avenue to trailer parks, from tidy suburbs to isolated outposts, home cooks were channeling their family histories as well as their tastes and personal ambitions into delicious meals. One decade and over 300,000 miles later, One Big Table is a celebration of these cooks, a mouthwatering portrait of the nation at the table. Meticulously selected from more than 20,000 contributions, the cookbook’s 600 recipes are a definitive portrait of what we eat and why. In this lavish volume—illustrated throughout with historic photographs, folk art, vintage advertisements, and family snapshots—O’Neill celebrates heirloom recipes like the Doughty family’s old-fashioned black duck and dumplings that originated on a long-vanished island off Virginia’s Eastern Shore, the Pueblo tamales that Norma Naranjo makes in her horno in New Mexico, as well as modern riffs such as a Boston teenager’s recipe for asparagus soup scented with nigella seeds and truffle oil. Many recipes offer a bridge between first-generation immigrants and their progeny—the bucatini with dandelion greens and spring garlic that an Italian immigrant and his grandson forage for in the Vermont woods—while others are contemporary variations that embody each generation’s restless obsession with distinguishing itself from its predecessors. O’Neill cooks with artists, writers, doctors, truck drivers, food bloggers, scallop divers, horse trainers, potluckers, and gourmet club members. In a world where takeout is just a phone call away, One Big Table reminds us of the importance of remaining connected to the food we put on our tables. As this brilliantly edited collection shows on every page, the glories of a home-cooked meal prove how every generation has enriched and expanded our idea of American food. Every recipe in this book is a testament to the way our memories—historical, cultural, and personal—are bound up in our favorite and best family dishes. As O’Neill writes, "Most Americans cook from the heart as well as from a distinctly American yearning, something I could feel but couldn’t describe until thousands of miles of highway helped me identify it in myself: hometown appetite. This book is a journey through hundreds of ‘hometowns’ that fuel the American appetite, recipe by recipe, bite by bite."

Master the most agile and resilient design for building analytics applications: the Unified Star Schema (USS) approach. The USS has many benefits over traditional dimensional modeling. Witness the power of the USS as a single star schema that serves as a foundation for all present and future business requirements of your organization.

No one likes to eat alone; to approach a table filled with people, only to be told that despite the open chairs there isn't room for you. The rejection stings. It leaves a mark. Yet this is exactly what the church has been saying to far too many people for far too long: “You're not welcome here. Find someplace else to sit.†How can we extend unconditional welcome and acceptance in a world increasingly marked by bigotry, fear, and exclusion? Pastor John Pavlovitz invites readers to join him on the journey to findâ€"or buildâ€"a church that is big enough for everyone. He speaks clearly into the heart of the issues the Christian community has been earnestly wrestling with: LGBT inclusion, gender equality, racial tensions, and global concerns. A Bigger Table: Building Messy, Authentic, Hopeful Spiritual Community asks if organized Christianity can find a new way of faithfully continuing the work Jesus began two thousand years ago, where everyone gets a seat. Pavlovitz shares moving personal stories and his careful observations as a pastor to set the table for a new, more loving conversation on these and other important matters of faith. He invites us to build the bigger table Jesus imagined, practicing radical hospitality, total authenticity, messy diversity, and agenda-free community.

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.

This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio

Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works best for your use-case Leverage Google Cloud Platform to analyze and optimize technical and business processes Book Description Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver Who this book is for If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.