Tous nos rayons

Déjà client ? Identifiez-vous

Mot de passe oublié ?

Nouveau client ?

CRÉER VOTRE COMPTE
The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight
Ajouter à une liste

Librairie Eyrolles - Paris 5e
Indisponible

The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight

The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight

Sandeep Uttamchandani

350 pages, parution le 29/09/2020

Résumé

Data-driven insights are a key competitive advantage for any industry today. This practical book shows data engineers, scientists, and team managers how to build a self-service data science platform that helps anyone in your organization extract insights from dataData-driven insights are a key competitive advantage for any industry today. But transforming raw data into insights can take days or weeks when you want them now. Most organizations can't scale their data science teams quick enough to keep up with the growing need for better, faster insights. What's the answer? Self-service data. This practical book shows data engineers, scientists, and team managers how to build a self-service data science platform that helps anyone in your organization extract insights from data. Author Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insights across data discovery, transformation, processing, and production. Organizations will be able to adopt self-service data based on their current state and AI/ML requirements. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about the capabilities required to unblock self-service. You'll explore: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organizationSandeep Uttamchandani is the Chief Data Architect & Head of Data Platform Engineering at Intuit. He has nearly two decades of experience working on data products as well as operational management of petabyte-scale data platforms. In his current role, he leads the data science platform team responsible to support hundreds of data analysts and scientists developing analytics & ML for Intuit's financial accounting, payroll, and payments products. Prior to Intuit, Sandeep played various data engineering leadership roles at VMware, IBM, as well as founding a ML startup for managing enterprise data security. Sandeep has received several excellence awards, and over 40 issued patents and 25 publications in key technical conferences. Sandeep is a regular speaker at O'Reilly Strata Data conferences (a featured speaker at Strata London 2019); also a featured main-stage speaker at DeveloperWeek NY19. Sandeep advises startups, and serves as a Program/Steering Committee Member for several conferences including Co-chair of Gartner's SF CDO Executive Summit and Usenix Operational ML (OpML) conference. Sandeep has a Ph.D. in Computer Science from University of Illinois at Urbana-Champaign.

Caractéristiques techniques

  PAPIER
Éditeur(s) O'Reilly
Auteur(s) Sandeep Uttamchandani
Parution 29/09/2020
Nb. de pages 350
EAN13 9781492075257

Avantages Eyrolles.com

Livraison à partir de 0,01 en France métropolitaine
Paiement en ligne SÉCURISÉ
Livraison dans le monde
Retour sous 15 jours
+ d'un million et demi de livres disponibles
satisfait ou remboursé
Satisfait ou remboursé
Paiement sécurisé
modes de paiement
Paiement à l'expédition
partout dans le monde
Livraison partout dans le monde
Service clients sav@commande.eyrolles.com
librairie française
Librairie française depuis 1925
Recevez nos newsletters
Vous serez régulièrement informé(e) de toutes nos actualités.
Inscription