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020			_a1800562985
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020			_z9781800568426 _q(pbk.)
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035			_a(OCoLC)1319221270
037			_a9781800568426 _bO'Reilly Media
050		4	_aQA76.585
082	0	4	_a004.6782 _223
049			_aMAIN
100	1		_aBurtenshaw, Jeff. _920033
245	1	0	_aData Democratization with Domo : _bBring Together Every Component of Your Business to Make Better Data-Driven Decisions Using Domo.
260			_aBirmingham : _bPackt Publishing, Limited, _c2022.
300			_a1 online resource (576 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
588	0		_aPrint version record.
520			_aOvercome data challenges at record speed and cloud-scale that optimize businesses by transforming raw data into dashboards and apps which democratize data consumption, supercharging results with the cloud-based solution, Domo Key Features Acquire data and automate data pipelines quickly for any data volume, variety, and velocity Present relevant stories in dashboards and custom apps that drive favorable outcomes using Domo Share information securely and govern content including Domo content embedded in other tools Book Description Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance. Data Democratization with Domo begins with an overview of the Domo ecosystem. You'll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you'll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you'll understand how to use alerts and webhooks to drive automated actions. You'll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you'll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you'll learn how to govern and secure the entire Domo platform. By the end of this book, you'll have gained the skills you need to become a successful Domo master. What you will learn Understand the Domo cloud data warehouse architecture and platform Acquire data with Connectors, Workbench, and Federated Queries Sculpt data using no-code Magic ETL, Data Views, and Beast Modes Profile data with the Data Dictionary, Data Profile, and Usage tools Use a storytelling pattern to create dashboards with Domo Stories Create, share, and monitor custom alerts activated using webhooks Create custom Domo apps, use the Domo CLI, and code with the Python API Automate model operations with Python programming and R scripting Who this book is for This book is for BI developers, ETL developers, and Domo users looking for a comprehensive, end-to-end guide to exploring Domo features for BI. Chief data officers, data strategists, architects, and BI managers interested in a new paradigm for integrated cloud data storage, data transformation, storytelling, content distribution, custom app development, governance, and security will find this book useful. Business analysts seeking new ways to tell relevant stories to shape business performance will also benefit from this book. A basic understanding of Domo will be helpful.
590			_aAdded to collection customer.56279.3
650		0	_aCloud computing. _95598
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650		7	_aBusiness intelligence. _2fast _0(OCoLC)fst00842723 _920034
650		7	_aCloud computing. _2fast _0(OCoLC)fst01745899 _95598
776	0	8	_iPrint version: _aBurtenshaw, Jeff. _tData Democratization with Domo. _dBirmingham : Packt Publishing, Limited, �2022
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3286702
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