Introduction To Data Platforms

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Introduction To Data Platforms

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Author : Anthony David Giordano
language : en
Publisher: Fulton Books, Inc.
Release Date : 2022-11-03

Introduction To Data Platforms written by Anthony David Giordano and has been published by Fulton Books, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-03 with Computers categories.

Digital, cloud, and artificial intelligence (AI) have disrupted how we use data. This disruption has changed the way we need to provision, curate, and publish data for the multiple use cases in today's technology-driven environment. This text will cover how to design, develop, and evolve a data platform for all the uses of enterprise data needed in today's digital organization. This book focuses on explaining what a data platform is, what value it provides, how is it engineered, and how to deploy a data platform and support organization. In this context, Introduction to Data Platforms reviews the current requirements for data in the digital age and quantifies the use cases; discusses the evolution of data over the past twenty years, which is a core driver of the modern data platform; defines what a data platform is and defines the architectural components and layers of a data platform; provides the architectural layers or capabilities of a data platform; reviews cloud- and commercial-software vendors that populate the data-platform space; provides a step-by-step approach to engineering, deploying, supporting, and evolving a data-platform environment; provides a step-by-step approach to migrating legacy data warehouses, data marts, and data lakes/sandboxes to a data platform; and reviews organizational structures for managing data platform environments.

The Enterprise Big Data Lake

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Author : Alex Gorelik
language : en
Publisher: O'Reilly Media
Release Date : 2019-02-21

The Enterprise Big Data Lake written by Alex Gorelik and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries

Big Data Technologies And Applications

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Author : Borko Furht
language : en
Publisher: Springer
Release Date : 2016-09-16

Big Data Technologies And Applications written by Borko Furht and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-16 with Computers categories.

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Introduction To Big Data Infrastructure And Networking Considerations

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Author : Shoban Babu Sriramoju
language : en
Publisher: Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
Release Date : 2017-12-01

Introduction To Big Data Infrastructure And Networking Considerations written by Shoban Babu Sriramoju and has been published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-01 with categories.

Big data is certainly one of the biggest buzz phrases in IT today. Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Unlike previous business analytics solutions, the real-time capability of new big data solutions can provide mission critical business intelligence that can change the shape and speed of enterprise decision making forever. Hence, the way in which IT infrastructure is connected and distributed warrants a fresh and critical analysis.

Introduction To Data Science

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Author : Dr. Sushil Dohare
language : en
Publisher: Xoffencerpublication
Release Date : 2023-04-06

Introduction To Data Science written by Dr. Sushil Dohare and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Computers categories.

The response to this inquiry is not at all easy to comprehend. I'm not sure how simple it is to discover someone who has a complete comprehension of what data science is, but I am certain that it would be challenging to locate two individuals who have fewer than three points of view on the topic. I am not sure how simple it is to locate someone who is well-versed in all aspects of what data science entails. Finding a person who is well-versed in all facets of data science may not be as simple as it initially appears to be. I cannot give you a definite answer. It's safe to say that it's a buzzword, and it seems like every data scientist desires it these days; as a result, having a background in data science is a useful thing to add to a résumé. Because of this, the role of "data scientist" has become increasingly common. But what exactly does it mean? Because I am unable to provide you with a definition that the vast majority of people will comprehend, I will instead provide you with the definition that I personally employ: The branch of study known as "Data Science" concentrates on the process of deriving information from other types of information that has been gathered. Data This description touches on so many different areas and almost encompasses so much ground that it is almost incomprehensible. It's not a mystery to me at all. Having said that, I believe that the discipline of data science encompasses a huge breadth of subject areas and subfields. There is nothing that makes me feel less ashamed than that. It is possible that the purpose of any scientific endeavor is to gather information from the evidence that has been gathered, and you may be correct if you argue this point. On the other hand, I would contend that the scientific approach entails more than simply transforming unprocessed data into information that can be understood. This is what I refer to when I make a declaration like this.

A Hands On Introduction To Data Science

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Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-02

A Hands On Introduction To Data Science written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Business & Economics categories.

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

Introduction To Data Science And Machine Learning

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Author : Keshav Sud
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-03-25

Introduction To Data Science And Machine Learning written by Keshav Sud and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-25 with Computers categories.

Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.

Introduction To Meta Platforms

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Author : Gilad James, PhD
language : en
Publisher: Gilad James Mystery School
Release Date :

Introduction To Meta Platforms written by Gilad James, PhD and has been published by Gilad James Mystery School this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

Meta platforms, also called metaverse platforms, refer to online virtual reality worlds where users can interact and engage with one another using virtual avatars. These platforms allow users to create, explore, and interact in virtual environments that are similar to the physical world. The metaverse has the potential to change the way the world views human interaction and communication. Companies such as Facebook, Microsoft, and Google are investing heavily in metaverse development, with the goal of creating a unified and seamless virtual world for users to access from anywhere in the world. Meta platforms have the potential to revolutionize numerous industries, including education, healthcare, and entertainment. For example, virtual classrooms can allow students from all over the world to attend classes together as if they were in the same physical location. Similarly, virtual healthcare professionals can provide consultations and treatments to patients in remote areas. Finally, the gaming industry has already embraced metaverse development, with games such as Second Life and Fortnite paving the way for future developments. Overall, meta platforms have the potential to change the way the world interacts and communicates, creating new opportunities for individuals and businesses. In this book we discuss topics such as: Introduction to Meta Platforms: Definition of meta platforms, Brief history of meta platforms, Advantages and disadvantages of meta platforms, Examples of meta platforms Meta Platforms in Social Media: Introduction to social media meta platforms, Characteristics of social media meta platforms, Examples of social media meta platforms Meta Platforms in E-commerce: Introduction to e-commerce meta platforms, Characteristics of e-commerce meta platforms, Examples of e-commerce meta platforms Meta Platforms in Finance: Introduction to finance meta platforms, Characteristics of finance meta platforms, Examples of finance meta platforms Meta Platforms in Healthcare: Introduction to healthcare meta platforms, Characteristics of healthcare meta platforms, Examples of healthcare meta platforms Meta Platforms in Education: Introduction to education meta platforms, Characteristics of education meta platforms, Examples of education meta platforms Implications and Future of Meta Platforms: Potential impact of meta platforms on society, Challenges and controversies surrounding meta platforms, Future developments and trends in meta platforms Conclusion: Summary of key points and Final thoughts on meta platforms. Quizzes are provided at the end of each section.

Introduction To Data Science Course

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Author : Brian Smith
language : en
Publisher: THE PUBLISHER
Release Date : 2024-03-13

Introduction To Data Science Course written by Brian Smith and has been published by THE PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Computers categories.

Welcome to the Introduction to Data Science course! This comprehensive course will take you through the fundamental concepts and techniques of data science. You will learn about the history and applications of data science, as well as the key methods and tools used in the field. The course covers topics such as data analysis and visualization, statistical methods, machine learning fundamentals, big data and data mining, predictive analytics, natural language processing, deep learning, data ethics and privacy, data science tools and technologies, data engineering, data science in business, case studies in data science, data science career paths, and future trends in data science. With this course, you will gain a solid understanding of data science principles and be equipped with the skills and knowledge necessary to embark on a successful data science career. Whether you are a beginner or have some experience in the field, this course will provide you with the foundation to excel in the exciting field of data science.

Building Cloud Data Platforms Solutions

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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :

Building Cloud Data Platforms Solutions written by Anouar BEN ZAHRA and has been published by Anouar BEN ZAHRA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.