Data Products And Services
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The Evolution Of Data Products
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Author : Mike Loukides
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-14
The Evolution Of Data Products written by Mike Loukides and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-14 with Computers categories.
This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes in our lives will come from products and companies that reveal data results, not the data itself.
Data As A Product
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Author : Brian Murray
language : en
Publisher: May Reads
Release Date : 2024-04-29
Data As A Product written by Brian Murray and has been published by May Reads this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.
Gain a broader understanding of data as a product. Have you ever wondered what a data product is? Were you interested in knowing their use in our daily life? Have you ever wondered how data can change and benefit our daily life when used as a product? "Data as a Product" is a book that explores the concept of data as a valuable and marketable commodity. The book discusses how data can be collected, analyzed, and used to create new products and services and the ethical considerations that come with monetizing data. The book delves into how companies use data to innovate and drive growth through case studies and real-world examples. It also examines the role of data in shaping industries and markets and the potential consequences of using data in irresponsible or unethical ways. In this book, you will: Discover and take a deep dive into the world of data as a product Understand the basics of basic data needs of a business, and then dive into advanced techniques Discover gathering and cleaning data Learn about storing and accessing data Master transforming and enriching data Understand visualizing and presenting data Learn how to create a data governance framework Discover data security and privacy And finally, learn about the improvements and innovations in data products. Overall, "Data as a Product" is a comprehensive and thought-provoking exploration of the world of data and its increasing importance in the modern economy. It is a must-read for anyone interested in the intersection of data, business, and technology. Click the "add to cart" button now and dive deep into the data world.
Data Analytics With Hadoop
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Author : Benjamin Bengfort
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-06
Data Analytics With Hadoop written by Benjamin Bengfort and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06 with Computers categories.
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib
Data Mesh
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Author : Zhamak Dehghani
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-03-08
Data Mesh written by Zhamak Dehghani and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-08 with Computers categories.
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
Numeric Data Products And Services
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Author : Association of Research Libraries. Systems and Procedures Exchange Center
language : en
Publisher:
Release Date : 2001
Numeric Data Products And Services written by Association of Research Libraries. Systems and Procedures Exchange Center and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Academic libraries categories.
Deliver Value In The Data Economy
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Author : Jarkko Moilanen
language : en
Publisher: MindMote Oy
Release Date : 2022-06-15
Deliver Value In The Data Economy written by Jarkko Moilanen and has been published by MindMote Oy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with Business & Economics categories.
The book Deliver Value in the Data Economy is for data monetization purposes, which helps you to build a bridge between the IT department and business design to maximize data-driven value creation. Why the book is written? Based on data product-related discussions with 200+ companies, we have seen that gap in knowledge is not in technology or adopting technology to monetize data assets. A lot of tools, platforms, and technical solutions exist and we have skilled people on the job. But the problem is that they do not know what to do or why. The business layer in companies is lagging behind and has difficulties understanding and applying data economy in their business. We want to change that! The book is written for business developers, CEOs, CIOs, CDOs, and all developing data-driven businesses. If you happen to be in a position in which innovating new business or leading digitalization is your thing, this book is for you! The book offers insights based on our experiences in practical cases as well as results from academic research we conduct as well. Two of us have doctoral degrees from ecosystem-driven platform businesses. We will leave the technical aspects in the outer rings since those aspects are already covered in various blogs and podcasts. The focus is on the business side of data commodities also known mostly as data products and data as a service (DaaS).
Numeric Data Products And Services
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Author :
language : en
Publisher: Association of Research Libr
Release Date : 2001
Numeric Data Products And Services written by and has been published by Association of Research Libr this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Academic libraries categories.
The Self Service Data Roadmap
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Author : Sandeep Uttamchandani
language : en
Publisher:
Release Date : 2020-10-13
The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with categories.
The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: 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 organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
Products And Services From Ers Nass
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Author :
language : en
Publisher:
Release Date : 1996
Products And Services From Ers Nass written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Agriculture categories.
Data Products And The Data Mesh
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Author : Alberto Artasanchez
language : en
Publisher: The Data Science Ninja
Release Date :
Data Products And The Data Mesh written by Alberto Artasanchez and has been published by The Data Science Ninja this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Data Products and the Data Mesh" is a comprehensive guide that explores the emerging paradigm of the data mesh and its implications for organizations navigating the data-driven landscape. This book equips readers with the knowledge and insights needed to design, build, and manage effective data products within the data mesh framework. The book starts by introducing the core concepts and principles of the data mesh, highlighting the shift from centralized data architectures to decentralized, domain-oriented approaches. It delves into the key components of the data mesh, including federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter provides in-depth analysis, practical strategies, and real-world examples to illustrate the application of these concepts. Readers will gain a deep understanding of how the data mesh fosters a culture of data ownership, collaboration, and innovation. They will explore the role of modern data architectures, such as data marketplaces, in facilitating decentralized data sharing, access, and monetization. The book also delves into the significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation. Throughout the book, readers will discover practical insights and best practices to overcome challenges related to data governance, scalability, privacy, and compliance. They will learn how to optimize data workflows, leverage domain-driven design principles, and harness the power of data virtualization to drive meaningful insights and create impactful data products. "Data Products and the Data Mesh" is an essential resource for data professionals, architects, and leaders seeking to navigate the complex world of data products within the data mesh paradigm. It provides a comprehensive roadmap for building a scalable, decentralized, and innovative data ecosystem that empowers organizations to unlock the full potential of their data assets and drive data-driven success.