|
|
|
|
Practical DataOps
Publisher title : Practical DataOps
HARVINDER ATWAL
|
|
LEARN MORE
Summary
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making.
Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles.
This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output.
What You Will Learn - Develop a data strategy for your organization to help it reach its long-term goals
- Recognize and eliminate barriers to delivering data to users at scale
- Work on the right things for the right stakeholders through agile collaboration
- Create trust in data via rigorous testing and effective data management
- Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes
- Create cross-functional self-organizing teams focused on goals not reporting lines
- Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products
Who This Book Is For
Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.
Details
Price:
|
$50.33
|
Category:
|
|
Author:
|
HARVINDER ATWAL
|
Title:
|
Practical DataOps
|
Release date:
|
December 2019
|
|
|
Editor:
|
LIVRES NUMÉRIQUES DIVERS
|
|
|
Subject:
|
NUL DIVERS
|
ISBN:
|
9781484251041 (14842510411)
|
Renaud-Bray Reference:
|
3057732
|
|
Item nb:
|
3057732
|
Digital rights
Format:
|
EPUB
|
Availability :
|
Canada,
other authorized countries.
Practical DataOps
By
ATWAL , HARVINDER
ANDORRE
ÉMIRATS ARABES UNIS
ALBANIE
ARMÉNIE
ANTARCTIQUE
ARGENTINE
SAMOA AMÉRICAINES
AUTRICHE
AUSTRALIE
AZERBAÏDJAN
BOSNIE-HERZÉGOVINE
BARBADE
BELGIQUE
BURKINA FASO
BULGARIE
BAHREÏN
BURUNDI
BÉNIN
BERMUDES
BRUNÉI DARUSSALAM
BOLIVIE
BRÉSIL
BAHAMAS
BOUVET, ÎLE
BELIZE
Canada
CONGO, LA RÉPUBLIQUE DÉMOCRATIQUE DU
CONGO
SUISSE
CÔTE D'IVOIRE
COOK, ÎLES
CHILI
CAMEROUN
CHINE
COLOMBIE
COSTA RICA
CUBA
CAP-VERT
CHRISTMAS, ÎLE
CHYPRE
TCHÈQUE, RÉPUBLIQUE
ALLEMAGNE
DJIBOUTI
DANEMARK
DOMINIQUE
DOMINICAINE, RÉPUBLIQUE
ALGÉRIE
ÉQUATEUR
ESTONIE
ÉGYPTE
ESPAGNE
FINLANDE
FALKLAND, ÎLES (MALVINAS)
FÉROÉ, ÎLES
FRANCE
GABON
GRENADE
GÉORGIE
GUYANE FRANÇAISE
GIBRALTAR
GROENLAND
GUINÉE
GUADELOUPE
GUINÉE ÉQUATORIALE
GRÈCE
GUATEMALA
GUINÉE-BISSAU
GUYANA
HONG-KONG
HEARD, ÎLE ET MCDONALD, ÎLES
HONDURAS
CROATIE
HAÏTI
HONGRIE
INDONÉSIE
IRLANDE
ISRAËL
|
Digital Rights Management :
|
Adobe DRM
|
Numeric warehouse :
|
NUMILOG
|
Number of authorized devices:
|
3
|
Number of copy-and-pastes:
|
0
|
Print:
|
0
|
|
|
Practical DataOps
,
ATWAL , HARVINDER
©
LIVRES NUMÉRIQUES DIVERS
2019
|
|
1408 item(s) in your cart.
Renaud-Bray will pay the shipping costs *
|