Kinesis Stream Processing Essentials
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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.
Goldengate Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Goldengate 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 2025-06-14 with Computers categories.
"GoldenGate Essentials" GoldenGate Essentials provides a comprehensive and practical guide to mastering Oracle GoldenGate, the industry-leading technology for real-time data integration and replication across complex IT landscapes. Beginning with a clear exploration of GoldenGate’s architecture, core processes, and foundational concepts, the book delivers a structured approach to deploying, optimizing, and managing enterprise replication solutions. Readers will benefit from thorough coverage of process flows—from Extract and Replicat operations to fault-tolerant deployments, modern microservices architectures, and robust security configurations—making this an indispensable reference for database administrators, architects, and data integration specialists. Spanning installation, configuration, and environment preparation, the book details essential planning for both on-premises and cloud-based deployments, covering sizing, upgrades, file system layout, and modern container ecosystems. Advanced chapters delve into extract and replicat tuning, parameter customization, handling of large and special data types, and sophisticated filtering and transformation techniques—ensuring accuracy, flexibility, and resilience in data movement. Heterogeneous replication scenarios are explained with practical advice on cross-database platforms, encoding, big data integration, and real-time streaming, empowering professionals to address today’s multi-cloud and hybrid environments. Recognizing the critical importance of data integrity, compliance, and operational excellence, GoldenGate Essentials also addresses transactional consistency, conflict management, performance tuning, comprehensive monitoring, and troubleshooting with diagnostic best practices. The book concludes with forward-looking insights on GoldenGate’s evolution, from cloud-native deployment to integration with CI/CD, DataOps, and emerging analytics pipelines. With actionable examples and strategies throughout, this essential volume equips practitioners to design and operate robust, scalable replication architectures at the heart of modern enterprise data strategies.
Redshift Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-06
Redshift 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 2025-06-06 with Computers categories.
"Redshift Essentials" "Redshift Essentials" provides a comprehensive, up-to-date exploration of Amazon Redshift for data professionals looking to design, build, and optimize high-performance data warehouses in the AWS cloud. The book opens with a rigorous examination of Redshift’s core architecture—including leadership and compute node internals, network topology, and advanced storage subsystems—before addressing the critical contrasts between serverless and provisioned deployments. Readers are expertly guided through data distribution, partitioning mechanics, and Redshift’s Massively Parallel Processing (MPP) model, gaining a deep understanding of how to build scalable, resilient, and cost-effective analytical systems. From there, the book delves into the nuances of data modeling and schema best practices, highlighting the power of dimensional modeling, optimal key strategies, compression techniques, and automated table optimization. It offers practical advice on seamlessly ingesting and integrating data at scale, covering techniques for bulk and streaming loads, cross-service integration, robust ETL/ELT design, and best practices for external data lake querying. Further chapters provide in-depth analysis of query processing, optimization, and performance engineering; resource management and true elastic scaling; and strategies to maintain storage hygiene and cluster health in demanding production environments. Security, compliance, automation, and advanced analytics are tackled with equal thoroughness. Readers learn to implement rigorous access controls, encryption, and audit trails that satisfy stringent industry regulations, while mastering modern DevOps workflows, infrastructure-as-code, observability, and automated incident response. The final sections unlock advanced capabilities with Redshift Spectrum and federated queries, machine learning integrations, data governance, and hands-on guidance for navigating emerging trends in the modern data ecosystem. "Redshift Essentials" is an indispensable, end-to-end guide for architects, engineers, and data leaders aspiring to harness the full power of Amazon Redshift.
Cloudtrail Operations And Security Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-07
Cloudtrail Operations And Security 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 2025-06-07 with Computers categories.
"CloudTrail Operations and Security Essentials" "CloudTrail Operations and Security Essentials" is the definitive guide for AWS professionals seeking to master the operational and security aspects of AWS CloudTrail. This comprehensive volume begins with a strategic exploration of CloudTrail’s architecture, detailing its event models, delivery workflows, and seamless integrations within the AWS ecosystem. Readers are introduced to nuanced distinctions between control plane and data plane events, region-specific logging, and the programmatic access methods essential for robust automation and analysis. With a strong focus on complex, real-world deployments, the book provides actionable best practices for designing CloudTrail in multi-account and multi-region organizations. Chapters delve into centralized log aggregation, scaling, custom trail configurations, and cost management—empowering readers to tailor their CloudTrail deployments for both compliance and operational efficiency. Extensive coverage of log management and analytics demonstrates how to securely store, filter, and analyze logs using native AWS tools and integrations with modern SIEM and data lake solutions. Security leaders will benefit from in-depth chapters on safeguarding CloudTrail integrity, incident detection, forensic investigations, and automating responses. The book further addresses governance and auditing concerns by aligning CloudTrail practices with regulatory mandates, ensuring evidence preservation, and maintaining chain of custody. Forward-looking content explores machine learning, zero trust architectures, multi-cloud visibility, and emerging standards—making this guide indispensable for organizations committed to resilient, compliant, and future-ready cloud operations.
Data Engineering Concepts From Basics To Advance Techniques
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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2024-09-23
Data Engineering Concepts From Basics To Advance Techniques written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Antiques & Collectibles categories.
Data engineering is a field that focuses on designing, building, and maintaining data systems. Data engineers work with large amounts of data and are responsible for ensuring that it is accessible, reliable, and secure. They use a variety of tools and techniques to extract, transform, and load data into data warehouses and data lakes. One of the key tasks of a data engineer is to design data pipelines. Data pipelines are a series of steps that data goes through to be processed and analyzed. These steps may include data extraction, data cleaning, data transformation, and data loading. Data engineers use tools like Apache Kafka and Apache Airflow to automate these processes. Data engineers also work with data storage systems. Data warehouses are large repositories of data that are optimized for analytical queries. Data lakes, on the other hand, are less structured and can store a wide variety of data types. Data engineers use tools like Hadoop and Apache Spark to manage and process data in these systems. In addition to data pipelines and storage systems, data engineers are responsible for data quality and governance. They develop data quality checks to ensure that data is accurate and consistent. They also implement data governance policies to protect sensitive data and comply with regulations.
Innovations In Smart Cities Applications Volume 8
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Author : Mohamed Ben Ahmed
language : en
Publisher: Springer Nature
Release Date : 2025-05-06
Innovations In Smart Cities Applications Volume 8 written by Mohamed Ben Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Technology & Engineering categories.
This book discovers the latest technological advances that are transforming our cities into smart and connected spaces. This book presents cutting-edge research and inspiring case studies on urban management, smart mobility and environmental sustainability. With an innovative approach, it explores concrete solutions and future perspectives to improve the quality of urban life. Intended for researchers, professionals and decision-makers, this book is an essential resource to understand and participate in the transformation of smart cities.
Aws Lambda Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Aws Lambda 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 2025-06-14 with Computers categories.
"AWS Lambda Essentials" AWS Lambda Essentials is a comprehensive guide designed for developers, architects, and technology leaders seeking mastery over serverless computing with AWS Lambda. The book begins by establishing a firm understanding of the serverless paradigm, AWS Lambda’s role within the broader ecosystem, and the critical business drivers powering the shift toward event-driven architectures. Readers are introduced to Lambda’s technical foundations and key building blocks, including function anatomy, supported runtimes, event sources, and lifecycle management, seamlessly blending architectural insight with practical engineering detail. Through advanced engineering patterns, the book tackles real-world development challenges such as modular code organization, performance optimization, robust error handling, and secure coding practices. Each chapter illuminates the intricacies of deployment automation, integration with a vast array of AWS event sources, and orchestration using services like API Gateway, EventBridge, and Step Functions. Practical advice on CI/CD, zero-downtime deployments, auditing, and compliance ensures teams can reliably build and scale Lambda-powered applications in production environments. Completing the journey, AWS Lambda Essentials offers deep dives into cost management, operational resilience, security best practices, and advanced, forward-looking use cases—including hybrid cloud deployments, IoT, edge computing, and data engineering for machine learning workflows. Combining architectural clarity with tactical guidance, this book equips professionals with the skills and strategic understanding needed to unlock the full power of AWS Lambda in modern cloud-native solutions.
Quicksight Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-08
Quicksight 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 2025-06-08 with Computers categories.
"QuickSight Essentials" Unlock the full potential of AWS QuickSight with "QuickSight Essentials," a comprehensive guide for analytics professionals, architects, and data leaders seeking to master cloud-native business intelligence. This book offers unparalleled depth, starting with the foundational architecture of QuickSight and covering everything from the SPICE engine internals and AWS integrations to best practices for high availability, security, and scalability. Readers will gain intimate familiarity with QuickSight’s networking, service editions, and seamlessly integrated AWS ecosystem, ensuring robust, enterprise-ready deployments. Moving beyond the foundations, "QuickSight Essentials" dives into advanced data connectivity, governance, and preparation. Discover how to securely connect to diverse data sources—on-premises and in the cloud—while implementing fine-grained data access controls and comprehensive auditing for regulatory compliance. The book explores state-of-the-art techniques for data modeling, preparation, and performance tuning, empowering readers to work with structured and semi-structured data at scale. Through practical guidance on metadata management, lineage, and real-time data refresh, you’ll be equipped to drive accurate, high-performance analytics. At its core, this essential resource bridges theory with actionable practice—covering advanced visualization, parameterization, automation via DevOps, and embedded analytics for productized BI solutions. Learn to optimize costs, scale resources efficiently, and extend QuickSight through custom integrations and AI enhancements. With dedicated chapters on compliance, operational excellence, and future trends such as generative AI and sustainability analytics, "QuickSight Essentials" provides a holistic blueprint for building resilient, modern analytics solutions and democratizing insights across your organization.
Essential Pyspark For Scalable Data Analytics
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Author : Sreeram Nudurupati
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-29
Essential Pyspark For Scalable Data Analytics written by Sreeram Nudurupati 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 2021-10-29 with Computers categories.
Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Key FeaturesDiscover how to convert huge amounts of raw data into meaningful and actionable insightsUse Spark's unified analytics engine for end-to-end analytics, from data preparation to predictive analyticsPerform data ingestion, cleansing, and integration for ML, data analytics, and data visualizationBook Description Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark's Python language API, which offers Python developers an easy-to-use scalable data analytics framework. Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You'll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You'll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you'll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you'll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas. By the end of this PySpark book, you'll be able to harness the power of PySpark to solve business problems. What you will learnUnderstand the role of distributed computing in the world of big dataGain an appreciation for Apache Spark as the de facto go-to for big data processingScale out your data analytics process using Apache SparkBuild data pipelines using data lakes, and perform data visualization with PySpark and Spark SQLLeverage the cloud to build truly scalable and real-time data analytics applicationsExplore the applications of data science and scalable machine learning with PySparkIntegrate your clean and curated data with BI and SQL analysis toolsWho this book is for This book is for practicing data engineers, data scientists, data analysts, and data enthusiasts who are already using data analytics to explore distributed and scalable data analytics. Basic to intermediate knowledge of the disciplines of data engineering, data science, and SQL analytics is expected. General proficiency in using any programming language, especially Python, and working knowledge of performing data analytics using frameworks such as pandas and SQL will help you to get the most out of this book.
Scalable Data Streaming With Amazon Kinesis
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Author : Tarik Makota
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-31
Scalable Data Streaming With Amazon Kinesis written by Tarik Makota 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 2021-03-31 with Computers categories.
Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key FeaturesGet well versed with the capabilities of Amazon KinesisExplore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis servicesLearn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis dataBook Description Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learnGet to grips with data streams, decoupled design, and real-time stream processingUnderstand the properties of KFH that differentiate it from other Kinesis servicesMonitor and scale KDS using CloudWatch metricsSecure KDA with identity and access management (IAM)Deploy KVS as infrastructure as code (IaC)Integrate services such as Redshift, Dynamo Database, and Splunk into KinesisWho this book is for This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.