Mastering Databricks Lakehouse Platform : Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)

Mastering Databricks Lakehouse Platform : Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lad, Sagar. (Auteur)
Autres auteurs:	Kumar, Anjani. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	New Delhi : BPB Publications, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Databricks Lakehouse Platform Cookbook : 100+ recipes for building a scalable and secure Databricks Lakehouse
par: Dennis, Alan L..

Hands-On Azure Data Platform : Building Scalable Enterprise-Grade Relational and Non-Relational database Systems with Azure Data Services
par: Lad, Sagar.
Publié: (2022)

Data Lakehouse in Action : Architecting a modern and scalable data analytics platform
par: Menon, Pradeep.
Publié: (2022)

Mastering DevOps on Microsoft Power Platform : Build, deploy, and secure low-code solutions on Power Platform using Azure DevOps and GitHub
par: Kastelic, Uroš.

Business Intelligence with Databricks SQL : Concepts, tools, and techniques for scaling business intelligence on the data lakehouse
par: Gupta, Vihag.
Publié: (2022)

Mastering Snowflake Platform : Generate, fetch, and automate Snowflake data as a skilled data practitioner
par: Kelgaonkar, Pooja.

Data Engineering with Databricks Cookbook : Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
par: Chadha, Pulkit.

Practical Machine Learning on Databricks : Seamlessly transition ML models and MLOps on Databricks
par: Sinha, Debu.

Databricks ML in Action : Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
par: Rivera, Stephanie.

Querying Databricks with Spark SQL : Leverage SQL to query and analyze Big Data for insights (English Edition)
par: Aspin, Adam.

Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
par: Wijaya, Adi.

Optimizing Databricks Workloads : Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
par: Kala, Anirudh.
Publié: (2021)

Data Engineering with Apache Spark, Delta Lake, and Lakehouse : Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
par: Kukreja, Manoj.
Publié: (2021)

Mastering cross-platform development with Xamarin
par: Bilgin, Can.
Publié: (2016)

Distributed Data Systems with Azure Databricks : Create, deploy, and manage enterprise data pipelines
par: Palacio, Alan Bernardo.
Publié: (2021)

Mastering JBoss enterprise application platform 7
par: Marchioni, Francesco.
Publié: (2016)

Mastering DevOps in Kubernetes : Maximize your container workload efficiency with DevOps practices in Kubernetes
par: Das Chowdhury, Soumiyajit.

Infinispan data grid platform definitive guide
par: Santos, Wagner Roberto Dos.
Publié: (2015)

Master Apache JMeter - From Load Testing to DevOps : Master performance testing with JMeter
par: Rodrigues, Antonio Gomes.
Publié: (2019)

Build Real Time Data Analytics on Google Cloud Platform : Build Real Time Data Analytics on Google Cloud Platform
par: Murari Ramuka.

Machine, platform, crowd : harnessing our digital future
par: McAfee, Andrew, 19..-
Publié: (2017)

Cloud analytics with Google Cloud platform : an end-to-end guide to processing and analyzing big data using Google Cloud Platform
par: Thodge, Sanket.
Publié: (2018)

Microsoft Power Platform Up and Running : Learn to Analyze Data, Create Solutions, Automate Processes, and Develop Virtual Agents with Low Code Programming (English Edition)
par: Rybaric, Robert.
Publié: (2022)

Hands-on machine learning on Google cloud platform : implementing smart and efficient analytics using Cloud ML Engine
par: Ciaburro, Giuseppe (19..-....).
Publié: (2018)

DevOps for Databases : A practical guide to applying DevOps best practices to data-persistent technologies
par: Jambor, David.

Mastering Docker : Enhance your containerization and DevOps skills to deliver production-ready applications
par: Mckendrick, Russ.
Publié: (2020)

Mastering GitLab 12 : implement DevOps culture and repository management solutions
par: Evertse, Joost.
Publié: (2019)

Learning DevOps : A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins
par: Krief, Mikael.
Publié: (2022)

Demystifying Azure DevOps Services : A Guide to Architect, Deploy, and Administer DevOps Using Microsoft Azure DevOps Services (English Edition)
par: Raj, Ashish.

Mastering SAS Programming for Data Warehousing : An advanced programming guide to designing and managing Data Warehouses using SAS
par: Wahi, Monika.
Publié: (2020)

Salesforce Platform Developer I Certification Guide : Expert tips, techniques, and mock tests for the Platform Developer I (DEV501) certification exam
par: Vandevelde, Jan.
Publié: (2019)

Azure DevOps Explained : Get started with Azure DevOps and develop your DevOps practices
par: Zaal, Sjoukje.
Publié: (2020)

Practical Engineering Management of Offshore Oil and Gas Platforms
par: Samie, Naeim Nouri.
Publié: (2016)

Cross-Platform UIs with Flutter : Unlock the ability to create native multiplatform UIs using a single code base with Flutter 3
par: Edge, Ryan.
Publié: (2022)

Azure Databricks Cookbook : Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
par: Raj, Phani.

Up and Running Google AutoML and AI Platform : Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment
par: Agrawal, Amit.

Learning DevOps : The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps
par: Krief, Mikael.
Publié: (2019)

Managing the ServiceNow Platform : A comprehensive guide to ServiceNow administration (English Edition)
par: Acosta, Felix.

Google Cloud for DevOps Engineers : A practical guide to SRE and achieving Google's Professional Cloud DevOps Engineer certification
par: Madamanchi, Sandeep.
Publié: (2021)

Platform and Model Design for Responsible AI : Design and build resilient, private, fair, and transparent machine learning models
par: Kapoor, Amita.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1