Iceberg Table Formats And Analytics
DOWNLOAD
Download Iceberg Table Formats And Analytics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Iceberg Table Formats And Analytics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Iceberg Table Formats And Analytics
DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-26
Iceberg Table Formats And Analytics 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 2025-05-26 with Computers categories.
"Iceberg Table Formats and Analytics" "Iceberg Table Formats and Analytics" offers a comprehensive, in-depth exploration of Apache Iceberg and the transformative landscape of modern table formats for analytic data lakes. Beginning with a solid grounding in the motivations and architectural innovations underlying next-generation table formats, the book systematically contrasts Iceberg, Delta Lake, and Hudi, while elucidating the principles of scalable storage, transactional integrity, and optimal data access. Readers will find accessible explanations of critical concepts such as ACID guarantees, metadata management, and the foundational file formats that empower high-performance analytics in today's data-driven enterprises. The heart of the book meticulously details Iceberg’s open specification, focusing on advanced schema and partition evolution, manifest file structures, and robust transactional semantics. Through a balanced blend of practical patterns and technical deep dives, the chapters guide data professionals-from engineers to architects-through essential workflows including batch and streaming ingestion, change data capture, upserts, compaction, and conflict management in distributed settings. Cutting-edge sections address query optimization, time travel, cost-based planning, and the integration with leading engines like Spark, Trino, and Flink, equipping the reader to maximize both performance and analytical flexibility in production data lakes. Beyond technical mechanics, the book rigorously addresses security, governance, data lineage, and compliance, charting a path toward operational excellence in cloud-native deployments and cross-cloud architectures. Advanced use cases demonstrate Iceberg’s relevance to machine learning, real-time analytics, and geospatial workloads, while an ecosystem-oriented final section embraces standardization, interoperability, and future trends. Whether you are building large-scale analytic platforms, orchestrating robust ETL pipelines, or pioneering data governance initiatives, "Iceberg Table Formats and Analytics" is an indispensable resource for mastering the evolving landscape of data lake architecture.
Mastering Apache Iceberg
DOWNLOAD
Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-05
Mastering Apache Iceberg written by Robert 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 2025-01-05 with Computers categories.
"Mastering Apache Iceberg: Managing Big Data in a Modern Data Lake" is an essential guide for data professionals seeking to harness the power of Apache Iceberg in optimizing their data lake strategies. As organizations grapple with ever-growing volumes of structured and unstructured data, the need for efficient, scalable, and reliable data management solutions has never been more critical. Apache Iceberg, an open-source project revered for its robust table format and advanced capabilities, stands out as a formidable tool designed to address the complexities of modern data environments. This comprehensive text delves into the intricacies of Apache Iceberg, offering readers clear guidance on its setup, operation, and optimization. From understanding the foundational architecture of Iceberg tables to implementing effective data partitioning and clustering techniques, the book covers a wide spectrum of key topics necessary for mastering this technology. It provides practical insights into optimizing query performance, ensuring data quality and governance, and integrating with broader big data ecosystems. Rich with case studies, the book illustrates real-world applications across various industries, demonstrating Iceberg's capacity to transform data management approaches and drive decision-making excellence. Designed for data architects, engineers, and IT professionals, "Mastering Apache Iceberg" combines theoretical knowledge with actionable strategies, empowering readers to implement Iceberg effectively within their organizational frameworks. Whether you're new to Apache Iceberg or looking to deepen your expertise, this book serves as a crucial resource for unlocking the full potential of big data management, ensuring that your organization remains at the forefront of innovation and efficiency in the data-driven age.
Ultimate Big Data Analytics With Apache Hadoop
DOWNLOAD
Author : Simhadri Govindappa
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-09-09
Ultimate Big Data Analytics With Apache Hadoop written by Simhadri Govindappa and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Computers categories.
TAGLINE Master the Hadoop Ecosystem and Build Scalable Analytics Systems KEY FEATURES ● Explains Hadoop, YARN, MapReduce, and Tez for understanding distributed data processing and resource management. ● Delves into Apache Hive and Apache Spark for their roles in data warehousing, real-time processing, and advanced analytics. ● Provides hands-on guidance for using Python with Hadoop for business intelligence and data analytics. DESCRIPTION In a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150,000 annually—mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape. The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python. Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively. Don’t miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop. WHAT WILL YOU LEARN ● Gain expertise in building and managing large-scale data pipelines with Hadoop, YARN, and MapReduce. ● Master real-time analytics and data processing with Apache Spark’s powerful features. ● Develop skills in using Apache Hive for efficient data warehousing and complex queries. ● Integrate Python for advanced data analysis, visualization, and business intelligence in the Hadoop ecosystem. ● Learn to enhance data storage and processing performance using formats like ORC, Parquet, and Delta. ● Acquire hands-on experience in deploying and managing Hadoop clusters with Docker and Kubernetes. ● Build and deploy machine learning models with tools integrated into the Hadoop ecosystem. WHO IS THIS BOOK FOR? This book is tailored for data engineers, analysts, software developers, data scientists, IT professionals, and engineering students seeking to enhance their skills in big data analytics with Hadoop. Prerequisites include a basic understanding of big data concepts, programming knowledge in Java, Python, or SQL, and basic Linux command line skills. No prior experience with Hadoop is required, but a foundational grasp of data principles and technical proficiency will help readers fully engage with the material. TABLE OF CONTENTS 1. Introduction to Hadoop and ASF 2. Overview of Big Data Analytics 3. Hadoop and YARN MapReduce and Tez 4. Distributed Query Engines: Apache Hive 5. Distributed Query Engines: Apache Spark 6. File Formats and Table Formats (Apache Ice-berg, Hudi, and Delta) 7. Python and the Hadoop Ecosystem for Big Data Analytics - BI 8. Data Science and Machine Learning with Hadoop Ecosystem 9. Introduction to Cloud Computing and Other Apache Projects Index
Mastering Snowflake Platform
DOWNLOAD
Author : Pooja Kelgaonkar
language : en
Publisher: BPB Publications
Release Date : 2024-01-12
Mastering Snowflake Platform written by Pooja Kelgaonkar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Computers categories.
Embark on the data journey with the ultimate guide to Snowflake mastery KEY FEATURES ● Learn about Snowflake cloud-based data architecture and its basics. ● Learn and implement Snowflake’s unified features with use cases. ● Design and deploy robust enterprise data architectures with Snowflake. DESCRIPTION Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a cost-effective solution, catering to both traditional and modern data needs with zero or minimal maintenance costs. This book helps you grasp Snowflake, guiding you to create complete solutions from start to finish. The starting focus covers Snowflake architecture, key features, native loading and unloading capabilities, ANSI SQL support, and processing of diverse data types and objects. The next part utilizes acquired knowledge to look into implementing data security, governance, and collaborations, utilizing Snowflake's features like data sharing and cloning. The final part explores advanced topics, including streams, tasks, performance optimizations, cost efficiencies, and operationalization with automated monitoring. Real-time use cases and reference architectures are provided to assist readers in implementing data warehouse, data lake, and data mesh solutions with Snowflake. WHAT YOU WILL LEARN ● Introduction to Snowflake and its three-layered architecture. ● Understand Snowflake’s native features. ● Understand the different types of data workloads and their architecture designs. ● Implement query and cost performance optimization using Snowflake native services. ● Introduction to Snowflake’s advanced features like dynamic and event tables. ● Snowflake’s capabilities with extended support to implement large language models. WHO THIS BOOK IS FOR This book is for data practitioners, data engineers, data architects, or every data enthusiast who is keen on learning Snowflake. It does not need any prior experience, however, it is beneficial to have a basic understanding of cloud computing, data concepts and basic programming skills. TABLE OF CONTENTS 1. Getting Started with Snowflake 2. Three Layered Architecture 3. Data Types, Data Objects and SQL Commands 4. Data Loading and Unloading 5. Understanding Streams and Tasks 6. Understanding Snowpark 7. Access Control and Managing Users Roles 8. Data Protection and Recovery 9. Snowflake Performance Optimization 10. Understanding Snowflake Costing and Utilizations 11. Implementing Cost Optimizations 12. Data Sharing 13. Data Cloning 14. Understanding Snowsight 15. Programming Connectors and Drivers 16. Workload Patterns with Snowflake 17. Introduction to Snowflake’s Advance Features
Practical Lakehouse Architecture
DOWNLOAD
Author : Gaurav Ashok Thalpati
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-07-24
Practical Lakehouse Architecture written by Gaurav Ashok Thalpati 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 2024-07-24 with Computers categories.
This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture shows you how to: Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution Understand the differences between traditional and lakehouse data architectures Differentiate between various file formats and table formats Design lakehouse architecture layers for storage, compute, metadata management, and data consumption Implement data governance and data security within the platform Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case Make critical design decisions and address practical challenges to build a future-ready data platform Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse
Snowflake Snowpro Advanced Data Engineer Dea C02 Certification Practice 300 Questions Answer
DOWNLOAD
Author : Rashmi Shah
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :
Snowflake Snowpro Advanced Data Engineer Dea C02 Certification Practice 300 Questions Answer written by Rashmi Shah and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The Advanced Snowflake Data Engineer: A Comprehensive Guide to DEA-C02 Certification, available through QuickTechie.com, is the definitive resource for data professionals seeking to validate their advanced knowledge and skills in applying comprehensive data engineering principles using Snowflake. This book is specifically tailored for individuals with two or more years of hands-on experience as a Data Engineer in a production environment, building upon the foundational expertise gained from the SnowPro Core Certification. This comprehensive guide takes readers beyond the basics, diving deep into the intricate world of advanced data engineering on the Snowflake Data Cloud. It equips professionals to architect, implement, and manage robust, scalable, and highly performant data pipelines that span various data sources and destinations. From sourcing data from diverse origins like Data Lakes, APIs, and on-premises systems, to designing end-to-end near real-time streams and evaluating complex performance metrics, this book provides the practical knowledge and strategic insights essential for a senior Snowflake Data Engineer. Key Learning Objectives and Comprehensive Coverage: The book's content is meticulously aligned with the SnowPro® Advanced: Data Engineer Certification (DEA-C02) exam, ensuring comprehensive and targeted preparation across all critical domains: Data Movement (26%): Covers mastering techniques for sourcing data from a wide array of origins, including cloud-based Data Lakes (S3, ADLS, GCS), various APIs, and traditional on-premises data sources into Snowflake. It delves into external stage concepts, designing and implementing continuous data ingestion with Snowpipe, utilizing Snowflake connectors and integrations, applying data loading best practices for various file formats (Parquet, ORC, JSON, Avro, XML), error handling, data validation during ingest, and understanding data replication for cross-cloud or cross-region data movement. Performance Optimization (21%): Develops expertise in Virtual Warehouse optimization, including sizing, scaling policies, multi-cluster warehouses, and workload management for data engineering tasks. It focuses on query performance tuning by utilizing Query Profile, optimizing SQL queries, understanding query history and execution plans, comprehending Snowflake's storage architecture with Micro-partitions and Clustering, leveraging the Search Optimization Service for point lookups, and designing and using Materialized Views for query acceleration. Storage and Data Protection (14%): Provides insights into Snowflake's storage layer, data compression, and cost implications. It details utilizing data retention policies for data recovery and protection through Time Travel and Fail-safe, understanding data encryption at rest and in transit, and implementing secure data sharing for consumers within and outside an organization. Data Governance (14%): Explores designing and implementing robust Role-Based Access Control (RBAC) for data engineering roles, managing object access and security through row access policies, dynamic data masking, and external functions for tokenization/obfuscation. It also covers managing and monitoring credit consumption with Resource Monitors and implementing data classification and tagging for governance and compliance. Data Transformation (25%): Addresses designing and implementing various ELT/ETL patterns in Snowflake. It covers advanced SQL constructs, window functions, User-Defined Functions (UDFs), User-Defined Table Functions (UDTFs), leveraging Snowpark with Python (or other languages) for complex, programmatic transformations, orchestrating complex data pipelines with Stored Procedures, and scheduling with Tasks. Additionally, it focuses on implementing data quality checks and validation rules within pipelines. Who This Book Is For: This book is specifically designed for the SnowPro® Advanced: Data Engineer candidate and other professionals, including: Experienced Data Engineers: Those responsible for designing, building, and maintaining complex data pipelines, ETL/ELT processes, and data integration solutions on Snowflake. Data Architects: Individuals involved in designing enterprise-level data platforms on Snowflake, requiring a deep understanding of data movement, storage, and transformation best practices. Cloud Engineers/DevOps Specialists: Professionals who manage the operational aspects and infrastructure of Snowflake data solutions. Professionals aiming for the SnowPro® Advanced: Data Engineer Certification (DEA-C02): This book serves as an essential guide for in-depth preparation. Individuals with 2 or more years of hands-on experience as a Data Engineer in a production environment. Exam Details and How This Book Prepares You: The book's structure and content are precisely mapped to the SnowPro® Advanced: Data Engineer Certification (DEA-C02) exam, ensuring comprehensive and targeted preparation. It covers all relevant topics with conceptual explanations, practical examples, and potentially practice questions integrated within chapters to reinforce understanding. The guide addresses various question types, including Multiple Select, Multiple Choice, and Interactive questions, through detailed explanations of concepts and their practical applications. It prepares candidates for the 115-minute time limit and aims to equip them with the knowledge required to confidently achieve and exceed the 750+ passing score (scaled from 0-1000). The content is solely in English and assumes the reader is SnowPro Core Certified, building directly on that foundational knowledge with advanced data engineering concepts. Key Features of This Book: This essential guide, available through QuickTechie.com, offers several key features: Comprehensive Coverage: Aligned meticulously with the DEA-C02 exam blueprint, ensuring no critical topic is left out. Practical Examples and Use Cases: Numerous real-world scenarios and code examples demonstrate the application of data engineering principles in Snowflake. Best Practices for Production Systems: Provides insights and recommendations for building scalable, robust, and maintainable data pipelines in production environments. Focus on Performance and Optimization: Dedicated sections and tips for evaluating, troubleshooting, and enhancing the performance of Snowflake data engineering workloads. Strategic Guidance: Beyond technical details, the book provides strategic advice on designing end-to-end data solutions. This book, presented by QuickTechie.com, is an essential investment for any data engineer serious about mastering Snowflake and achieving the prestigious SnowPro® Advanced: Data Engineer Certification, solidifying their role as a leader in modern cloud data engineering.
Fundamentals Of Microsoft Fabric
DOWNLOAD
Author : Nikola Ilic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-07-29
Fundamentals Of Microsoft Fabric written by Nikola Ilic 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 2025-07-29 with Computers categories.
In the rapidly evolving world of data and analytics, professionals face the challenge of navigating complex platforms in order to build more efficient solutions. Microsoft Fabric, hailed as Microsoft’s “biggest data product in history after SQL Server,” offers powerful capabilities but comes with a steep learning curve. The myriad of choices within Fabric can be overwhelming, with multiple ways to tackle tasks, not all of which are equally efficient. This book serves as a definitive roadmap to understanding Microsoft Fabric—and leveraging it to suit your needs. Authors Nikola Ilic and Ben Weissman demystify the core concepts and components necessary to build, manage, and administer robust data solutions within this game-changing product. Discover the core Microsoft Fabric components and understand key concepts and techniques for building a robust data platform Learn to apply Microsoft Fabric effectively in your day-to-day job Understand the concept of a lake-centric architecture Gain the skills to implement a scalable and efficient end-to-end analytics solution Manage and administer a Fabric tenant
Applied Hudi Systems
DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-03
Applied Hudi Systems 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 2025-06-03 with Computers categories.
"Applied Hudi Systems" "Applied Hudi Systems" is a comprehensive and authoritative guide to architecting, operating, and optimizing Apache Hudi for modern, large-scale data lakes. The book begins with a thorough exploration of Hudi’s architectural foundations and design philosophy, clarifying core concepts such as table abstractions (Copy-on-Write vs. Merge-on-Read), metadata management, transactional guarantees, and integration with distributed storage systems like HDFS, S3, and GCS. Readers will come away with a deep understanding of Hudi’s unique approach to reliable data storage, time-travel queries, and its positioning relative to other leading lakehouse formats. The book progresses from foundational principles to advanced engineering, covering high-throughput data ingestion using real-time and micro-batch pipelines, mutation management (upserts, deletes), data validation, and change data capture integration. Practical chapters on query processing, indexing, partitioning, clustering, and fine-grained performance tuning provide real-world strategies for achieving scalable, low-latency analytics. Detailed treatments of storage layout, compaction, lifecycle management, and cost optimization empower practitioners to build resilient and efficient Hudi-based architectures suitable for petabyte-scale deployments. Recognizing the demands of enterprise data platforms, "Applied Hudi Systems" addresses mission-critical topics such as security, governance, auditing, multi-tenancy, and disaster recovery. Readers will find comprehensive guidance on monitoring, telemetry, alerting, resource management, and extensibility with today’s data ecosystem tools (e.g., Spark, Trino, Airflow, Prometheus). The book culminates with best practices, operational playbooks, benchmark results, and in-depth case studies from production Hudi environments—making it an indispensable resource for engineers, architects, and data leaders seeking to deploy robust, future-ready data lake solutions.
Data Engineering With Aws
DOWNLOAD
Author : Gareth Eagar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-31
Data Engineering With Aws written by Gareth Eagar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.
Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered. Key Features Delve into robust AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Stay up to date with a comprehensive revised chapter on Data Governance Build modern data platforms with a new section covering transactional data lakes and data mesh Book DescriptionThis book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS. By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!What you will learn Seamlessly ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Load data into a Redshift data warehouse and run queries with ease Visualize and explore data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Build transactional data lakes using Apache Iceberg with Amazon Athena Learn how a data mesh approach can be implemented on AWS Who this book is forThis book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts, while gaining practical experience with common data engineering services on AWS, will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book, but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Modern Data Architecture On Aws
DOWNLOAD
Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31
Modern Data Architecture On Aws written by Behram Irani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.