107 páginas
- Acerca de esta ediciónISBN: 9781492044437, 1492044431Cantidad de páginas: 522Fecha de publicación: 23 de octubre de 2019Formato: Libro electrónicoEditor: O'Reilly MediaIdioma: InglésAutor: Valliappa Lakshmanan, Jordan TiganiCrear citaÍndice
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.
Fuente: EditorOtras ediciones23 oct 20192019—O'Reilly MediaO'Reilly Media, IncorporatedO'ReillyLibro electrónicoTapa blandaLibro electrónico522 páginas475 páginas350 páginasFrases y términos comunesarrayAVG(durationbicycleBigQuery supportsBigQuery tablebigquery-public-data`.london_bicycles.cycle_hirebigquery-public-data`.london_bicycles.cycle_stationsbike_idbytesChapterclauseclient libraryCloud BigtableCloud DataflowclustercolumncomputeCREATE OR REPLACECREATE TABLECSVData Definition Languagedata warehousedatabaseDataflowMás términos y frasesMostrar menosObtener libroPedir prestadoBusca en una bibliotecaBusca en WorldCat.Busca WorldCatAcerca de la obraFecha de publicación original: 2019AutorValliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).Buscar Valliappa LakshmananJordan is engineering director for the core BigQuery team. He was one of the founding engineers on BigQuery, and helped grow it to be one of the most successful products in Google’s Cloud Platform. He wrote the first book on BigQuery, and has also spoken widely on the subject. Jordan has twenty years of software development experience, ranging from Microsoft Research to Machine Learning startups.Buscar Jordan TiganiMás del autorMachine Learning Design PatternsDe Valliappa Lakshmanan, Sara Robinson y Michael MunnThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists ...Practical Machine Learning for Computer VisionDe Valliappa Lakshmanan, Martin Görner y Ryan GillardThis practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including ...Data Governance: The Definitive GuideDe Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant y Jessi AshdownAs you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance ...Más librosEditor