Streaming Data Mesh
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Streaming Data Mesh
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Author : Hubert Dulay
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-05-11
Streaming Data Mesh written by Hubert Dulay 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 2023-05-11 with Computers categories.
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data
Streaming Architecture
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Author : Ted Dunning
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-05-10
Streaming Architecture written by Ted Dunning 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 2016-05-10 with Computers categories.
More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex How stream-based architectures are helpful to support microservices Specific use cases such as fraud detection and geo-distributed data streams Ted Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as @ted_dunning. Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman.
Streaming Databases
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Author : Hubert Dulay
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-08-08
Streaming Databases written by Hubert Dulay 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 2024-08-08 with Computers categories.
Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup
Data Mesh In Action
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Author : Jacek Majchrzak
language : en
Publisher: Simon and Schuster
Release Date : 2023-03-21
Data Mesh In Action written by Jacek Majchrzak and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size. In Data Mesh in Action you will learn how to: Implement a data mesh in your organization Turn data into a data product Move from your current data architecture to a data mesh Identify data domains, and decompose an organization into smaller, manageable domains Set up the central governance and local governance levels over data Balance responsibilities between the two levels of governance Establish a platform that allows efficient connection of distributed data products and automated governance Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You won’t need any new technology—this book shows you how to start implementing a data mesh with flexible processes and organizational change. You’ll explore both an extended case study and multiple real-world examples. As you go, you’ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition. About the technology Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures. About the book Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data. What's inside Decompose an organization into manageable domains Turn data into a data product Set up central and local governance levels Build a fit-for-purpose data platform Improve management, initiation, and support techniques About the reader For data professionals. Requires no specific programming stack or data platform. About the author Jacek Majchrzak is a hands-on lead data architect. Dr. Sven Balnojan manages data products and teams. Dr. Marian Siwiak is a data scientist and a management consultant for IT, scientific, and technical projects. Table of Contents PART 1 FOUNDATIONS 1 The what and why of the data mesh 2 Is a data mesh right for you? 3 Kickstart your data mesh MVP in a month PART 2 THE FOUR PRINCIPLES IN PRACTICE 4 Domain ownership 5 Data as a product 6 Federated computational governance 7 The self-serve data platform PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE 8 Comparing self-serve data platforms 9 Solution architecture design
Flow Architectures
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Author : James Urquhart
language : en
Publisher: O'Reilly Media
Release Date : 2021-01-06
Flow Architectures written by James Urquhart 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 2021-01-06 with Computers categories.
Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet. This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process. Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streams Understand the value chain for flow integration through Wardley mapping visualization and promise theory modeling Walk through basic concepts behind today's event-driven systems marketplace Learn how today's integration patterns will influence the real-time events flow in the future Explore why companies should architect and build software today to take advantage of flow in coming years
Kinesis Stream Processing Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-01
Kinesis Stream Processing Essentials written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.
"Kinesis Stream Processing Essentials" "Kinesis Stream Processing Essentials" is a comprehensive guide for architects, engineers, and data professionals seeking to master real-time stream processing with Amazon Kinesis and its ecosystem. The book begins by grounding the reader in the fundamentals of streaming architectures and the evolution from batch to real-time systems, followed by an expansive exploration of Kinesis components—Streams, Firehose, Analytics, and Video Streams—and their practical roles within modern AWS-centric data platforms. Foundational topics include core concepts such as shards, records, partitioning, and access control, as well as in-depth technical comparisons with alternative streaming technologies like Apache Kafka and Google Pub/Sub. Delving into advanced engineering practices, the book meticulously covers scalable data ingestion, the design of robust producer architectures, and schema management with modern serialization formats. Readers are guided through the intricacies of real-time analytics using Kinesis Data Analytics, including stream enrichment, late-arriving data handling, and stateful computations, with actionable patterns for fault tolerance and high observability. Downstream consumption is addressed with practical patterns for scaling consumers, integrating with AWS Lambda and serverless frameworks, and efficiently delivering streaming data into data lakes, analytics tools, and other AWS services. Beyond core processing, "Kinesis Stream Processing Essentials" offers an authoritative exposition of mission-critical topics such as security, compliance, capacity planning, operations, and CI/CD integration for streaming pipelines. Chapters on privacy-preserving architectures, security automation, and regulatory compliance provide essential guidance for building secure, audit-ready solutions. The book concludes by mapping out cutting-edge trends: from machine learning on streaming data and data mesh architectures to multi-cloud patterns, cross-region replication, and the growing importance of AI-driven, autonomous streaming pipelines—serving as the definitive resource for developing resilient, future-proof Kinesis solutions.
Streaming Systems
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Author : Tyler Akidau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-07-16
Streaming Systems written by Tyler Akidau 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 2018-07-16 with Computers categories.
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra
Visualizing Streaming Data
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Author : Anthony Aragues
language : en
Publisher: O'Reilly Media
Release Date : 2018
Visualizing Streaming Data written by Anthony Aragues 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 2018 with Big data categories.
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult--but not impossible. With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives. Determine your company's goals for visualizing streaming data Identify key data sources and learn how to stream them Learn practical methods for processing streaming data Build a client application for interacting with events, logs, and records Explore common components for visualizing streaming data Consider analysis concepts for developing your visualization Define the dashboard's layout, flow direction, and component movement Improve visualization quality and productivity through collaboration Explore use cases including security, IoT devices, and application data
Big Data Processing With Apache Spark
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Author : Srini Penchikala
language : en
Publisher: Lulu.com
Release Date : 2018-03-13
Big Data Processing With Apache Spark written by Srini Penchikala and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Computers categories.
Apache Spark is a popular open-source big-data processing framework thatÕs built around speed, ease of use, and unified distributed computing architecture. Not only it supports developing applications in different languages like Java, Scala, Python, and R, itÕs also hundred times faster in memory and ten times faster even when running on disk compared to traditional data processing frameworks. Whether you are currently working on a big data project or interested in learning more about topics like machine learning, streaming data processing, and graph data analytics, this book is for you. You can learn about Apache Spark and develop Spark programs for various use cases in big data analytics using the code examples provided. This book covers all the libraries in Spark ecosystem: Spark Core, Spark SQL, Spark Streaming, Spark ML, and Spark GraphX.
Data Warehousing
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Data Warehousing written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
Introducing the "Data Warehousing: Optimizing Data Storage and Retrieval for Business Success" bundle! Unlock the full potential of your data with this comprehensive collection of four essential books: 1. Data Warehousing Fundamentals: A Beginner's Guide · Dive into the foundational principles of data warehousing and learn how to build a solid framework for storing and managing your organization's data. · Understand the importance of data modeling and gain insights into the extraction, transformation, and loading (ETL) processes essential for efficient data management. 2. Mastering Data Modeling for Data Warehousing · Take your data modeling skills to the next level with advanced techniques for conceptual, logical, and dimensional modeling. · Learn how to design scalable and efficient data warehouses that meet the evolving needs of your organization. 3. Advanced ETL Techniques for Data Warehousing Optimization · Optimize your ETL processes and streamline data extraction, transformation, and loading for maximum efficiency. · Explore advanced techniques such as incremental loading and change data capture (CDC) to ensure the smooth operation of your data warehouse. 4. Big Data Analytics: Harnessing the Power of Data Warehousing for Experts · Unlock the transformative potential of big data analytics and gain actionable insights to drive informed decision-making. · Discover how to leverage your data warehouse for real-time data processing, predictive modeling, and more. With this bundle, you'll gain the knowledge and skills needed to optimize your data storage and retrieval processes, empowering you to harness the power of data for business success. Whether you're a beginner looking to build a solid foundation or an expert seeking advanced strategies, this bundle has something for everyone. Don't miss out on this opportunity to revolutionize your approach to data warehousing and take your business to new heights!