Architecting Modern Data Platforms

Architecting Modern Data Platforms
Author: Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
Publsiher: "O'Reilly Media, Inc."
Total Pages: 636
Release: 2018-12-05
ISBN: 1491969229
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting Modern Data Platforms Book Excerpt:

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Architecting Modern Data Platforms

Architecting Modern Data Platforms
Author: Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
Publsiher: O'Reilly Media
Total Pages: 636
Release: 2018-12-05
ISBN: 1491969245
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting Modern Data Platforms Book Excerpt:

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Architecting Modern Data Platforms

Architecting Modern Data Platforms
Author: Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
Publsiher: Unknown
Total Pages: 633
Release: 2018
ISBN: 1928374650XXX
Category: Apache Hadoop
Language: EN, FR, DE, ES & NL

Architecting Modern Data Platforms Book Excerpt:

There's a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you'll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You'll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability.

Data Lakehouse in Action

Data Lakehouse in Action
Author: Pradeep Menon
Publsiher: Packt Publishing Ltd
Total Pages: 206
Release: 2022-03-17
ISBN: 1801815100
Category: Computers
Language: EN, FR, DE, ES & NL

Data Lakehouse in Action Book Excerpt:

Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patterns Key FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an organization's needs and maturity levelBook Description The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success. The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application. By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner. What you will learnUnderstand the evolution of the Data Architecture patterns for analyticsBecome well versed in the Data Lakehouse pattern and how it enables data analyticsFocus on methods to ingest, process, store, and govern data in a Data Lakehouse architectureLearn techniques to serve data and perform analytics in a Data Lakehouse architectureCover methods to secure the data in a Data Lakehouse architectureImplement Data Lakehouse in a cloud computing platform such as AzureCombine Data Lakehouse in a macro-architecture pattern such as Data MeshWho this book is for This book is for data architects, big data engineers, data strategists and practitioners, data stewards, and cloud computing practitioners looking to become well-versed with modern data architecture patterns to enable large-scale analytics. Basic knowledge of data architecture and familiarity with data warehousing concepts are required.

Modern Big Data Processing with Hadoop

Modern Big Data Processing with Hadoop
Author: V Naresh Kumar,Prashant Shindgikar
Publsiher: Packt Publishing Ltd
Total Pages: 394
Release: 2018-03-30
ISBN: 1787128814
Category: Computers
Language: EN, FR, DE, ES & NL

Modern Big Data Processing with Hadoop Book Excerpt:

A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop Key Features -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Book Description The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems. What you will learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently Who this book is for This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.

Amazon Redshift Cookbook

Amazon Redshift Cookbook
Author: Shruti Worlikar,Thiyagarajan Arumugam,Harshida Patel,Eugene Kawamoto
Publsiher: Packt Publishing Ltd
Total Pages: 384
Release: 2021-07-23
ISBN: 1800561849
Category: Computers
Language: EN, FR, DE, ES & NL

Amazon Redshift Cookbook Book Excerpt:

Discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions Key FeaturesDiscover how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operations processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesBook Description Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift. This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. Finally, you'll gain a clear understanding of Redshift use cases, data ingestion, data management, security, and scaling so that you can build a scalable data warehouse platform. By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems. What you will learnUse Amazon Redshift to build petabyte-scale data warehouses that are agile at scaleIntegrate your data warehousing solution with a data lake using purpose-built features and services on AWSBuild end-to-end analytical solutions from data sourcing to consumption with the help of useful recipesLeverage Redshift's comprehensive security capabilities to meet the most demanding business requirementsFocus on architectural insights and rationale when using analytical recipesDiscover best practices for working with big data to operate a fully managed solutionWho this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, such as data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, and cloud concepts and familiarity with Redshift will be beneficial.

Azure Synapse Analytics Cookbook

Azure Synapse Analytics Cookbook
Author: Gaurav Agarwal,Meenakshi Muralidharan,Rohini Srivathsa
Publsiher: Packt Publishing Ltd
Total Pages: 238
Release: 2022-04-29
ISBN: 1803245573
Category: Computers
Language: EN, FR, DE, ES & NL

Azure Synapse Analytics Cookbook Book Excerpt:

Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure Synapse Key FeaturesDiscover new techniques for using Azure Synapse, regardless of your level of expertiseIntegrate Azure Synapse with other data sources to create a unified experience for your analytical needs using Microsoft AzureLearn how to embed data governance and classification with Synapse Analytics by integrating Azure PurviewBook Description As data warehouse management becomes increasingly integral to successful organizations, choosing and running the right solution is more important than ever. Microsoft Azure Synapse is an enterprise-grade, cloud-based data warehousing platform, and this book holds the key to using Synapse to its full potential. If you want the skills and confidence to create a robust enterprise analytical platform, this cookbook is a great place to start. You'll learn and execute enterprise-level deployments on medium-to-large data platforms. Using the step-by-step recipes and accompanying theory covered in this book, you'll understand how to integrate various services with Synapse to make it a robust solution for all your data needs. Whether you're new to Azure Synapse or just getting started, you'll find the instructions you need to solve any problem you may face, including using Azure services for data visualization as well as for artificial intelligence (AI) and machine learning (ML) solutions. By the end of this Azure book, you'll have the skills you need to implement an enterprise-grade analytical platform, enabling your organization to explore and manage heterogeneous data workloads and employ various data integration services to solve real-time industry problems. What you will learnDiscover the optimal approach for loading and managing dataWork with notebooks for various tasks, including MLRun real-time analytics using Azure Synapse Link for Cosmos DBPerform exploratory data analytics using Apache SparkRead and write DataFrames into Parquet files using PySparkCreate reports on various metrics for monitoring key KPIsCombine Power BI and Serverless for distributed analysisEnhance your Synapse analysis with data visualizationsWho this book is for This book is for data architects, data engineers, and developers who want to learn and understand the main concepts of Azure Synapse analytics and implement them in real-world scenarios.

Architecting Data Intensive SaaS Applications

Architecting Data Intensive SaaS Applications
Author: William Waddington,Kevin McGinley,Pui Chu,Gjorgji Georgievski,Dinesh Kulkarni
Publsiher: Unknown
Total Pages: 67
Release: 2021
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Architecting Data Intensive SaaS Applications Book Excerpt:

Through explosive growth in the past decade, data now drives significant portions of our lives, from crowdsourced restaurant recommendations to AI systems identifying effective medical treatments. Software developers have unprecedented opportunity to build data applications that generate value from massive datasets across use cases such as customer 360, application health and security analytics, the IoT, machine learning, and embedded analytics. With this report, product managers, architects, and engineering teams will learn how to make key technical decisions when building data-intensive applications, including how to implement extensible data pipelines and share data securely. The report includes design considerations for making these decisions and uses the Snowflake Data Cloud to illustrate best practices. This report explores: Why data applications matter: Get an introduction to data applications and some of the most common use cases Evaluating platforms for building data apps: Evaluate modern data platforms to confidently consider the merits of potential solutions Building scalable data applications: Learn design patterns and best practices for storage, compute, and security Handling and processing data: Explore techniques and real-world examples for building data pipelines to support data applications Designing for data sharing: Learn best practices for sharing data in modern data applications.

Pro Serverless Data Handling with Microsoft Azure

Pro Serverless Data Handling with Microsoft Azure
Author: Benjamin Kettner,Frank Geisler
Publsiher: Apress
Total Pages: 314
Release: 2022-03-23
ISBN: 9781484280669
Category: Computers
Language: EN, FR, DE, ES & NL

Pro Serverless Data Handling with Microsoft Azure Book Excerpt:

Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The book shows you which Azure components are best suited to form a strong foundation for data-driven applications in the Microsoft Azure Cloud. If you are a solution architect or a decision maker, the conceptual aspects of this book will help you gain a deeper understanding of the underlying technology and its capabilities. You will understand how to develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best scalability and design. If you are a developer, you will benefit from the hands-on approach used throughout this book. Many practical examples and architectures applied in real-world projects will be valuable to you on your path to serverless success. What You Will Learn Know what services are available in Microsoft Azure that can deal with large amounts of data Design modern data applications based on serverless technology in the cloud Transform and present data without the use of infrastructure Employ proven design patterns for rapid implementation of serverless data applications Choose the correct set of development tools for the services you are using Understand the term "serverless" and how it can be a benefit Identify scenarios in which serverless is not the best option available Who This Book Is For Architects and decision makers who want to understand how modern architectures are designed and how to modernize their applications. The book is aimed at the developer who needs a steppingstone to quickly implement a serverless data application. And the book is for any IT professional who seeks a head start to serverless computing for data-heavy applications on the Azure platform.

SharePoint 2010 Enterprise Architect s Guidebook

SharePoint 2010 Enterprise Architect s Guidebook
Author: Brian Wilson,Arpan Shah,Reza Alirezaei,Bill Baer,Martin Kearn
Publsiher: John Wiley & Sons
Total Pages: 1073
Release: 2012-04-03
ISBN: 0470643196
Category: Computers
Language: EN, FR, DE, ES & NL

SharePoint 2010 Enterprise Architect s Guidebook Book Excerpt:

Tips and techniques for becoming a successful SharePoint architect If you′re eager to design and architect a successful deployment of SharePoint 2010, then this is the book for you. Packed with real–world experiences and solid processes, this guidebook provides you with everything you need to perform for designing and architecting enterprise portal services. Helpful examples examine the common design issues affecting SharePoint 2010 environments that can cause deployments to fail so you can learn what to avoid. Plus, key development and deployment issues are covered from an architecture perspective and backup and disaster recovery planning are described at length. Details the skills and attributes necessary in order to design and architect successful SharePoint 2010 deployments Provides real–world scenarios and helpful examples of various types of enterprise portal services Discusses corporate Intranet service, enterprise content management, team collaboration services, enterprise search service, and more Addresses marketing your SharePoint 2010 solution to users to ensure they are aware of the services you provide With SharePoint 2010 Enterprise Architect s Guidebook, you′ll quickly discover the requirements for designing a successful SharePoint 2010 deployment.

Architecting for Scale

Architecting for Scale
Author: Lee Atchison
Publsiher: O'Reilly Media
Total Pages: 268
Release: 2020-02-28
ISBN: 1492057142
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting for Scale Book Excerpt:

Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. With the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand—without affecting the quality your customers expect. Architects, managers, and directors in engineering and operations organizations will learn how to build applications at scale that run more smoothly and reliably to meet the needs of customers. Learn how scaling affects the availability of your services, why that matters, and how to improve it Dive into a modern service-based application architecture that ensures high availability and reduces the effects of service failures Explore the Single Team Owned Service Architecture paradigm (STOSA)—a model for scaling your development organization in tandem with your application Understand, measure, and mitigate risk in your systems Use the cloud to build highly scalable applications

Snowflake Cookbook

Snowflake Cookbook
Author: Hamid Mahmood Qureshi,Hammad Sharif
Publsiher: Packt Publishing
Total Pages: 330
Release: 2021-02-25
ISBN: 9781800560611
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Snowflake Cookbook Book Excerpt:

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations Key Features Build and scale modern data solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Make quicker and better-informed business decisions by uncovering key insights from your data Book Description Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What You Will Learn Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform Optimize performance and costs associated with a Snowflake solution Stage data on object stores and load it into Snowflake Secure data and share it efficiently for access Manage transactions and extend Snowflake using stored procedures Extend cloud data applications using Spark Connector Who this book is for This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Architecting Google Cloud Solutions

Architecting Google Cloud Solutions
Author: Victor Dantas
Publsiher: Packt Publishing Ltd
Total Pages: 472
Release: 2021-05-14
ISBN: 1800564155
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting Google Cloud Solutions Book Excerpt:

Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect. Key FeaturesGain hands-on experience in designing and managing high-performance cloud solutionsLeverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and servicesUse Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutionsBook Description Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform. What you will learnGet to grips with compute, storage, networking, data analytics, and pricingDiscover delivery models such as IaaS, PaaS, and SaaSExplore the underlying technologies and economics of cloud computingDesign for scalability, business continuity, observability, and resiliencySecure Google Cloud solutions and ensure complianceUnderstand operational best practices and learn how to architect a monitoring solutionGain insights into modern application design with Google CloudLeverage big data, machine learning, and AI with Google CloudWho this book is for This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.

Architecting the Cloud

Architecting the Cloud
Author: Michael J. Kavis
Publsiher: John Wiley & Sons
Total Pages: 224
Release: 2014-01-28
ISBN: 1118826469
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting the Cloud Book Excerpt:

An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.

The Azure Cloud Native Architecture Mapbook

The Azure Cloud Native Architecture Mapbook
Author: Stephane Eyskens,Ed Price
Publsiher: Packt Publishing Ltd
Total Pages: 376
Release: 2021-02-17
ISBN: 1800560052
Category: Computers
Language: EN, FR, DE, ES & NL

The Azure Cloud Native Architecture Mapbook Book Excerpt:

Improve your Azure architecture practice and set out on a cloud and cloud-native journey with this Azure cloud native architecture guide Key FeaturesDiscover the key drivers of successful Azure architectureImplement architecture maps as a compass to tackle any challengeUnderstand architecture maps in detail with the help of practical use casesBook Description Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements. Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security. By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives. What you will learnGain overarching architectural knowledge of the Microsoft Azure cloud platformExplore the possibilities of building a full Azure solution by considering different architectural perspectivesImplement best practices for architecting and deploying Azure infrastructureReview different patterns for building a distributed application with ecosystem frameworks and solutionsGet to grips with cloud-native concepts using containerized workloadsWork with AKS (Azure Kubernetes Service) and use it with service mesh technologies to design a microservices hosting platformWho this book is for This book is for aspiring Azure Architects or anyone who specializes in security, infrastructure, data, and application architecture. If you are a developer or infrastructure engineer looking to enhance your Azure knowledge, you'll find this book useful.

Architecting Cloud Native Applications

Architecting Cloud Native Applications
Author: Kamal Arora,Erik Farr,John Gilbert,Piyum Zonooz
Publsiher: Packt Publishing Ltd
Total Pages: 526
Release: 2019-04-16
ISBN: 1838642390
Category: Computers
Language: EN, FR, DE, ES & NL

Architecting Cloud Native Applications Book Excerpt:

Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key FeaturesDiscover best practices for applying cloud native patterns to your cloud applicationsExplore ways to effectively plan resources and technology stacks for high security and fault toleranceGain insight into core architectural principles using real-world examplesBook Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: Cloud Native Development Patterns and Best Practices by John GilbertCloud Native Architectures by Erik Farr et al.What you will learnUnderstand the difference between cloud native and traditional architectureAutomate security controls and configuration managementMinimize risk by evolving your monolithic systems into cloud native applicationsExplore the aspects of migration, when and why to use itApply modern delivery and testing methods to continuously deliver production codeEnable massive scaling by turning your database inside outWho this book is for This Learning Path is designed for developers who want to progress into building cloud native systems and are keen to learn the patterns involved. Software architects, who are keen on designing scalable and highly available cloud native applications, will also find this Learning Path very useful. To easily grasp these concepts, you will need basic knowledge of programming and cloud computing.

Salesforce Lightning Platform Enterprise Architecture

Salesforce Lightning Platform Enterprise Architecture
Author: Andrew Fawcett
Publsiher: Unknown
Total Pages: 646
Release: 2019-11-04
ISBN: 9781789956719
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Salesforce Lightning Platform Enterprise Architecture Book Excerpt:

A comprehensive guide filled with best practices and tailor-made examples - a must-read for all Lightning Platform architects! Key Features Use the Lightning Platform to build integrated, scalable, and robust apps focused on enterprise-level customer demands Use the Lightning Component framework to deliver modern and responsive user experiences targeting multiple devices through Lightning Experience and Salesforce Mobile Extend your application with access to external services and AI Book Description Salesforce Lightning provides a secure and scalable platform to build, deploy, customize, and upgrade applications. This book will take you through the architecture of building an application on the Lightning platform to help you understand its features and best practices, and ensure that your app keeps up with your customers' increasing needs as well as the innovations on the platform. This book guides you in working with the popular aPaaS offering from Salesforce, the Lightning Platform. You'll see how to build and ship enterprise-grade apps that not only leverage the platform's many productivity features, but also prepare your app to harness its extensibility and customization capabilities. You'll even get to grips with advanced application architectural design patterns such as Separation of Concerns, Unit Testing and Dependency Integration. You will learn to use Apex and JavaScript with Lightning Web Components, Platform Events, among others, with the help of a sample app illustrating patterns that will ensure your own applications endure and evolve with the platform. Finally, you will become familiar with using Salesforce DX to develop, publish, and monitor a sample app and experience standard application life cycle processes along with tools such as Jenkins to implement CI/CD. By the end of this book, you will have learned how to develop effective business apps and be ready to explore innovative ways to meet customer demands. What you will learn Create and deploy AppExchange packages and manage upgrades Understand Enterprise Application Architecture patterns Customize mobile and desktop user experience with Lightning Web Components Manage large data volumes with asynchronous processing and big data strategies Implement Source Control and Continuous Integration Add AI to your application with Einstein Use Lightning External Services to integrate external code and data with your Lightning Application Who this book is for This book is for Lightning platform developers who want to discover the true potential of the platform to develop complex scalable applications for use in enterprise businesses.

Web Application Architecture

Web Application Architecture
Author: Leon Shklar,Rich Rosen
Publsiher: Wiley
Total Pages: 440
Release: 2009-04-27
ISBN: 9780470518601
Category: Computers
Language: EN, FR, DE, ES & NL

Web Application Architecture Book Excerpt:

In-depth examination of concepts and principles of Web application development Completely revised and updated, this popular book returns with coverage on a range of new technologies. Authored by a highly respected duo, this edition provides an in-depth examination of the core concepts and general principles of Web application development. Packed with examples featuring specific technologies, this book is divided into three sections: HTTP protocol as a foundation for Web applications, markup languages (HTML, XML, and CSS), and survey of emerging technologies. After a detailed introduction to the history of Web applications, coverage segues to core Internet protocols, Web browsers, Web application development, trends and directions, and more. Includes new coverage on technologies such as application primers, Ruby on Rails, SOAP, XPath, P3P, and more Explores the fundamentals of HTTP and its evolution Looks at HTML and its roots as well as XML languages and applications Reviews the basic operation of Web Servers, their functionality, configuration, and security Discusses how to process flow in Web browsers and looks at active browser pages Addresses the trends and various directions that the future of Web application frameworks may be headed This book is essential reading for anyone who needs to design or debug complex systems, and it makes it easier to learn the new application programming interfaces that arise in a rapidly changing Internet environment.

Cloud Native Containers Functions Data and Kubernetes

Cloud Native  Containers  Functions  Data  and Kubernetes
Author: Boris Scholl,Trent Swanson,Peter Jausovec
Publsiher: O'Reilly Media
Total Pages: 300
Release: 2019-10-05
ISBN: 9781492053828
Category: Computers
Language: EN, FR, DE, ES & NL

Cloud Native Containers Functions Data and Kubernetes Book Excerpt:

This comprehensive guide helps developers and architects understand current cloud-native technologies, with recommendations that explain when you need to use each one. Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the patterns you need for building cloud-native applications, and provide best practices for the most common tasks such as messaging, eventing, and DevOps. This practical book also delivers an architectural blueprint for a modern cloud-native application. You'll learn about microservices, containers, serverless computing, storage types, data considerations, portability, and the use of functions. Differentiate between containers and functions, and understand when to use which technology Leverage Service Meshes to move complexity, such as distributed tracing and mutual TLS handshakes, away from the developer Use messaging and eventing as the glue for the cloud-native composite applications Handle state-in distributed applications Understand what makes your application portable

Agile Business Architecture for Digital Transformation

Agile Business Architecture for Digital Transformation
Author: Dr Mehmet Yildiz
Publsiher: Digitalmehmet
Total Pages: 135
Release: 2021-05-01
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Agile Business Architecture for Digital Transformation Book Excerpt:

We are in a frenetic and a convoluted digital age. Every organisation strives to transform its business to stay competitive in this exponentially growing digital world. Digital transformation became pervasive and ubiquitous in all business ventures. This new norm of constant transformation requires architecting our business and underlying technology stacks rapidly. Establishing agile business architecture frameworks are fundamental requirements to achieve successful digital transformation outcomes. In this book, I attempt to share my knowledge and experience using a rigorous yet agile architectural method. My aim is to add accelerated value to the broader business architecture and digital transformation communities by focusing on the practical aspect with minimal emphasis on the theoretical aspect. The content in this book is based on my architectural thought leadership experience gained in multiple large business and enterprise architecture initiatives, focusing on business capabilities, digital transformation initiatives, and enterprise modernisation engagements, reflecting hard lessons learned in these applied settings. In this book I attempt to redefine the role of business architects as primary leaders for digital transformation programs. The content reflects my experience and observations from the field. As a caveat, this book is not based on theories in the traditional business architecture textbooks which may conflict with my experience. My beta readers found this as a unique guide reflecting reality from the field. Hope it adds new insights for your role in the business digital transformation initiatives.