Learning Google BigQuery
Ebook
Info-bulle
Les e-books sont lisibles sur votre ordinateur ou une liseuse adaptée.
Un guide du débutant pour extraire d'énormes ensembles de données grâce à une analyse interactive
Info-bulle
Les e-books sont lisibles sur votre ordinateur ou une liseuse adaptée.
Auteur:
Thirukkumaran Haridass
Eric Brown
- en
- livre numérique
- 9781787286290
- 22 décembre 2017
Résumé
Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets
Key Features
Book Description
Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.
You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you.
This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.
What you will learn
Who this book is for
If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed.
Key Features
- Get started with BigQuery API and write custom applications using it
- Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease
- A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery
Book Description
Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.
You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you.
This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.
What you will learn
- Get a hands-on introduction to Google Cloud Platform and its services
- Understand the different data types supported by Google BigQuery
- Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques
- Use partition tables in your project and query external data sources and wild card tables
- Create tables and data sets dynamically using the BigQuery API
- Perform real-time inserting of records for analytics using Python and C#
- Visualize your BigQuery data by connecting it to third party tools such as Tableau and R
- Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data
Who this book is for
If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed.
Spécifications produit
Nous n'avons trouvé aucune spécification pour votre recherche '{SEARCH}'.
Contenu
- Langue
- en
- Version
- livre numérique
- Date de sortie initiale
- 22 décembre 2017
- Illustrations
- Non
Personnes impliquées
- Auteur principal
- Thirukkumaran Haridass
- Deuxième auteur
- Eric Brown
- Editeur principal
- Packt Publishing
Options de lecture
- Lisez cet ebook sur
- Ordinateur de bureau (Mac et Windows) | Lecteur électronique Kobo | Android (smartphone et tablette) | iOS (smartphone et tablette) | Windows (smartphone et tablette)
Autres spécifications
- Livre d‘étude
- Oui
- Édition
- 1
EAN
- EAN
- 9781787286290
Sécurité des produits
-
Opérateur économique responsable dans l’UE
Info-bulle
Opérateur économique responsable dans l’UE
L'opérateur économique responsable dans l'UE veille au respect des obligations en matière de sécurité des produits. - Afficher les données
Vous trouverez cet article :
- Langue
- Anglais
- Disponibilité
- Disponible à l'adresse suivante
- Disponible en « Kobo Plus »
- Disponible en « Kobo Plus »
- Livre, ebook ou livre audio ?
- Ebook
Choisissez la version souhaitée
Choisissez votre version
Informations sur les prix et commande
Le prix de ce produit est de 25 euros et 99 cents.
Disponible immédiatement
Vendu par bol
- Ebook utilisable dès son achat
- Les ebooks offrent plein d'avantages
- Garantie légale via bol
- Service client 24h/24
- Paiement sécurisé
Vous ne pouvez pas annuler ou retourner des éléments téléchargés. Pour les produits qui ne sont pas encore parus, vous pouvez annuler jusqu'à la date de publication.
Voir les conditions de retour
D'autres ont aussi regardé
Signaler cet article
Vous souhaitez signaler un contenu illégal, comme un article dangereux, illégal ou un contenu trompeur.
- Je souhaite faire un signalement en tant que client.
- Je veux faire un signalement en tant qu'autorité ou personne de confiance.
- Je veux faire un signalement en tant que propriétaire de partenaire
- Je veux faire un signalement en tant que propriétaire de marque
Vous n'êtes pas un client, une autorité, personne de confiance, propriétaire de marque ou un partenaire? Dans ce cas, utilisez le formulaire client (via le bouton ci-dessous) pour effectuer un signalement.