Data
Reader small image

You're reading from  Principles of Data Fabric

Product typeBook
Published inApr 2023
PublisherPackt
ISBN-139781804615225
Edition1st Edition
Concepts
Data Engineering
Right arrow
Author (1)
Sonia Mezzetta
Sonia Mezzetta
author image
Sonia Mezzetta

Sonia Mezzetta is a senior certified IBM architect working as a Data Fabric Program Director. She has an eye for detail and enjoys problem solving data pain points. She started her data management career in IBM as a data architect specializing in enterprise architectures. She is an expert in Data Fabric, DataOps, Data Governance, and Data Analytics. With over 20 years of experience, she has designed and architected several Enterprise data solutions. She has authored numerous data management white papers and has a master's and bachelor's degree in Computer Science. Sonia is originally from New York City, and currently resides in the area of Westchester County, New York.
Read more about Sonia Mezzetta

Right arrow

DataOps’ value

DataOps accelerates operations in building and delivering data solutions. It can be viewed as a layer sitting on a Data Fabric architecture that expedites data processing and delivery to achieve an organization’s digital transformation journey. As discussed in Chapter 2, Show Me the Business Value, there are four key ingredients to achieve profitable data monetization:

  • Trusted quality data
  • Meaningful insights
  • Action-oriented business plan
  • High execution speed

DataOps with Data Fabric focuses on the delivery of trusted, quality data and meaningful insights, that is, insights that can be acted upon to derive value and reliability. Both the first and second points enable the creation of a lucrative business plan that can be executed on. Time is money, and DataOps and Data Fabric specialize in achieving the preceding four goals quickly.

The following is a summary of the key objectives of a DataOps discipline:

  • Customer satisfaction...
lock icon
The rest of the page is locked
Previous Page
Chapter 7 of 16, Page 3
Next Page
You have been reading a chapter from
Principles of Data Fabric
Published in: Apr 2023Publisher: PacktISBN-13: 9781804615225
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sonia Mezzetta

Sonia Mezzetta is a senior certified IBM architect working as a Data Fabric Program Director. She has an eye for detail and enjoys problem solving data pain points. She started her data management career in IBM as a data architect specializing in enterprise architectures. She is an expert in Data Fabric, DataOps, Data Governance, and Data Analytics. With over 20 years of experience, she has designed and architected several Enterprise data solutions. She has authored numerous data management white papers and has a master's and bachelor's degree in Computer Science. Sonia is originally from New York City, and currently resides in the area of Westchester County, New York.
Read more about Sonia Mezzetta

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages