Introduction To Data Platforms

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Introduction to Data Platforms

Anthony David Giordano
Introduction to Data Platforms Book PDF

Author : Anthony David Giordano
Publisher : Fulton Books, Inc.
Page : 200 pages
File Size : 45,5 Mb
Release : 2022-11-03
Category : Computers
ISBN : 9798885053877

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Introduction to Data Platforms by Anthony David Giordano Pdf

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.

Designing Cloud Data Platforms

Danil Zburivsky,Lynda Partner
Designing Cloud Data Platforms Book PDF

Author : Danil Zburivsky,Lynda Partner
Publisher : Simon and Schuster
Page : 334 pages
File Size : 45,9 Mb
Release : 2021-03-17
Category : Computers
ISBN : 9781638350965

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Designing Cloud Data Platforms by Danil Zburivsky,Lynda Partner Pdf

In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. Summary Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use. About the book In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. What's inside Best practices for structured and unstructured data sets Cloud-ready machine learning tools Metadata and real-time analytics Defensive architecture, access, and security About the reader For data professionals familiar with the basics of cloud computing, and Hadoop or Spark. About the author Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years. Table of Contents 1 Introducing the data platform 2 Why a data platform and not just a data warehouse 3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google 4 Getting data into the platform 5 Organizing and processing data 6 Real-time data processing and analytics 7 Metadata layer architecture 8 Schema management 9 Data access and security 10 Fueling business value with data platforms

Building Cloud Data Platforms Solutions

Anouar BEN ZAHRA
Building Cloud Data Platforms Solutions Book PDF

Author : Anouar BEN ZAHRA
Publisher : Anouar BEN ZAHRA
Page : 339 pages
File Size : 45,5 Mb
Release : 2024-06-30
Category : Computers
ISBN : 8210379456XXX

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Building Cloud Data Platforms Solutions by Anouar BEN ZAHRA Pdf

"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.

Designing Big Data Platforms

Yusuf Aytas
Designing Big Data Platforms Book PDF

Author : Yusuf Aytas
Publisher : John Wiley & Sons
Page : 338 pages
File Size : 45,7 Mb
Release : 2021-07-27
Category : Mathematics
ISBN : 9781119690924

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Designing Big Data Platforms by Yusuf Aytas Pdf

DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.

The Enterprise Big Data Lake

Alex Gorelik
The Enterprise Big Data Lake Book PDF

Author : Alex Gorelik
Publisher : "O'Reilly Media, Inc."
Page : 224 pages
File Size : 50,7 Mb
Release : 2019-02-21
Category : Computers
ISBN : 9781491931509

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The Enterprise Big Data Lake by Alex Gorelik Pdf

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

A Hands-On Introduction to Data Science

Chirag Shah
A Hands On Introduction to Data Science Book PDF

Author : Chirag Shah
Publisher : Cambridge University Press
Page : 459 pages
File Size : 54,7 Mb
Release : 2020-04-02
Category : Business & Economics
ISBN : 9781108472449

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A Hands-On Introduction to Data Science by Chirag Shah Pdf

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

The Self-Service Data Roadmap

Sandeep Uttamchandani
The Self Service Data Roadmap Book PDF

Author : Sandeep Uttamchandani
Publisher : "O'Reilly Media, Inc."
Page : 297 pages
File Size : 46,9 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9781492075202

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The Self-Service Data Roadmap by Sandeep Uttamchandani Pdf

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization

An Introduction to Online Platforms and Their Role in the Digital Transformation

OECD
An Introduction to Online Platforms and Their Role in the Digital Transformation Book PDF

Author : OECD
Publisher : OECD Publishing
Page : 216 pages
File Size : 40,6 Mb
Release : 2019-05-13
Category : Electronic
ISBN : 9789264559547

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An Introduction to Online Platforms and Their Role in the Digital Transformation by OECD Pdf

This report contains detailed profiles of twelve of the world’s leading platform companies and derives insights from those profiles about what platforms actually do, how they do it, and why they succeed financially.

Introduction to Data Science and Machine Learning

Keshav Sud,Pakize Erdogmus,Seifedine Kadry
Introduction to Data Science and Machine Learning Book PDF

Author : Keshav Sud,Pakize Erdogmus,Seifedine Kadry
Publisher : BoD – Books on Demand
Page : 233 pages
File Size : 53,8 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9781838803339

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Introduction to Data Science and Machine Learning by Keshav Sud,Pakize Erdogmus,Seifedine Kadry Pdf

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 Data Science Course

Brian Smith
Introduction To Data Science Course Book PDF

Author : Brian Smith
Publisher : THE PUBLISHER
Page : 56 pages
File Size : 43,5 Mb
Release : 2024-03-13
Category : Computers
ISBN : 8210379456XXX

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Introduction To Data Science Course by Brian Smith Pdf

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.

Hands-On Azure Data Platform

Sagar Lad,Abhishek Mishra,Ashirwad Satapathi
Hands On Azure Data Platform Book PDF

Author : Sagar Lad,Abhishek Mishra,Ashirwad Satapathi
Publisher : BPB Publications
Page : 364 pages
File Size : 54,8 Mb
Release : 2022-02-10
Category : Antiques & Collectibles
ISBN : 9789355510303

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Hands-On Azure Data Platform by Sagar Lad,Abhishek Mishra,Ashirwad Satapathi Pdf

Plan, build, deploy, and monitor data solutions on Azure KEY FEATURES ● Work with PostgreSQL, MySQL, and CosmosDB databases on Microsoft Azure. ● Work with whole data architecture, leverage Azure Storage, Azure Synapse, and Azure Data Lake. ● Data integration strategies with Azure Data Factory and Data Bricks. DESCRIPTION 'Hands-On Azure Data Platform' helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform. The book describes how to work efficiently with Relational and Non-Relational Databases, Azure Synapse Analytics, and Azure Data Lake. The readers will use Azure Databricks and Azure Data Factory to experience data processing and transformation. The book delves deeply into topics like continuous integration, continuous delivery, and the use of Azure DevOps. The book focuses on the integration of Azure DevOps with CI/CD pipelines for data ops solutions. The book teaches readers how to migrate data from an on-premises system or another cloud service provider to Azure. After reading the book, readers will develop end-to-end data solutions using the Azure data platform. Additionally, data engineers and ETL developers can streamline their ETL operations using various efficient Azure services. WHAT YOU WILL LEARN ● In-depth knowledge of the principles of the data warehouse and the data lake. ● Acquaint yourself with Azure Storage Files, Blobs, and Queues. ● Create relational databases on the Azure platform using SQL, PostgreSQL, and MySQL. ● With Cosmos DB, you can create extremely scalable databases and data warehouses. ● Utilize Azure Databricks and Data Factory to develop data integration solutions. WHO THIS BOOK IS FOR This book is designed for big data engineers, data architects, and cloud engineers who want to understand how to use the Azure Data Platform to build enterprise-grade solutions. Learning about databases and the Azure Data Platform would be helpful but not necessary. TABLE OF CONTENTS 1. Getting Started with the Azure Data Platform 2. Working with Relational Databases on Azure 3. Working with Azure Synapse Analytics 4. Working with Azure Data Lake 5. Working with Azure Cosmos DB 6. Working with Azure Databricks 7. Working with Azure Data Factory 8. DevOps with the Azure Data Platform 9. Planning and Migrating On-Premises Azure Workloads to the Azure Data platform 10. Design and Implement Data Solutions on Azure

INTRODUCTION TO DATA SCIENCE THROUGH MACHINE LEARNING

Dr.V.Maniraj,M.Dhivya
INTRODUCTION TO DATA SCIENCE THROUGH MACHINE LEARNING Book PDF

Author : Dr.V.Maniraj,M.Dhivya
Publisher : SK Research Group of Companies
Page : 207 pages
File Size : 41,5 Mb
Release : 2022-07-22
Category : Computers
ISBN : 9789391077457

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INTRODUCTION TO DATA SCIENCE THROUGH MACHINE LEARNING by Dr.V.Maniraj,M.Dhivya Pdf

Dr.V.Maniraj, Associate Professor & Coordinator, PG & Research Department of Computer Science, AVVM SRI PUSHPAM COLLEGE (AUTONOMOUS), Poondi, Thanjavur, Tamil Nadu, India. M.Dhivya , Research Scholar, PG & Research Department of Computer Science, AVVM SRI PUSHPAM COLLEGE (AUTONOMOUS), Poondi, Thanjavur, Tamil Nadu, India.

Google Cloud Platform for Data Engineering

Alasdair Gilchrist
Google Cloud Platform for Data Engineering Book PDF

Author : Alasdair Gilchrist
Publisher : Alasdair Gilchrist
Page : 357 pages
File Size : 44,6 Mb
Release : 2024-06-30
Category : Computers
ISBN : 8210379456XXX

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Google Cloud Platform for Data Engineering by Alasdair Gilchrist Pdf

Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.

Architecting Data and Machine Learning Platforms

Marco Tranquillin,Valliappa Lakshmanan,Firat Tekiner
Architecting Data and Machine Learning Platforms Book PDF

Author : Marco Tranquillin,Valliappa Lakshmanan,Firat Tekiner
Publisher : "O'Reilly Media, Inc."
Page : 361 pages
File Size : 46,7 Mb
Release : 2023-10-12
Category : Computers
ISBN : 9781098151584

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Architecting Data and Machine Learning Platforms by Marco Tranquillin,Valliappa Lakshmanan,Firat Tekiner Pdf

All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach

The Enterprise Big Data Framework

Jan-Willem Middelburg
The Enterprise Big Data Framework Book PDF

Author : Jan-Willem Middelburg
Publisher : Kogan Page Publishers
Page : 497 pages
File Size : 52,5 Mb
Release : 2023-11-03
Category : Business & Economics
ISBN : 9781398601727

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The Enterprise Big Data Framework by Jan-Willem Middelburg Pdf

Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy. This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques. With a focus on business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.