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Scalable Data Architecture with Java
Build efficient enterprise-grade data architecting solutions using Java
2022
EN
Orchestrate data architecting solutions using Java and related technologies to evaluate, recommend and present the most suitable solution to leadership and clientsKey FeaturesLearn how to adapt to the ever-evolving data architecture technology landscapeUnderstand how to choose the best suited technology, platform, and architecture to realize effective business valueImplement effective data security and governance principlesBook De...
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Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Designing, Building, and Deploying Messaging Solutions
2012
EN
Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise.The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in pra...
Cloud Application Architectures
Building Applications and Infrastructure in the Cloud
2009
EN
If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services.While analysts hotly debate the advantages and risks of cloud computing, IT staff and programmers are left to determine whether and how to put their applications into these virtualized services. Cloud Application Architectures provides ans...
Cloud Architecture Patterns
Using Microsoft Azure
2012
EN
If your team is investigating ways to design applications for the cloud, this concise book introduces 11 architecture patterns that can help you take advantage of cloud-platform services. You’ll learn how each of these platform-agnostic patterns work, when they might be useful in the cloud, and what impact they’ll have on your application architecture. You’ll also see an example of each pattern applied to an application built with Windows Azure.The patterns are organized into four ...
SAP Security Configuration and Deployment
The IT Administrator's Guide to Best Practices
2008
EN
Accessible
Throughout the world, high-profile large organizations (aerospace and defense, automotive, banking, chemicals, financial service providers, healthcare, high tech, insurance, oil and gas, pharmaceuticals, retail, telecommunications, and utilities) and governments are using SAP software to process their most mission-critical, highly sensitive data. With more than 100,000 installations, SAP is the world's largest enterprise software company and the world's third largest independent software s...
Spring Microservices
Internet-scale architecture with Spring framework, Spring Cloud, Spring Boot
2016
EN
Build scalable microservices with Spring, Docker, and MesosKey Features\[\*\] Learn how to efficiently build and implement microservices in Spring, and how to use Docker and Mesos to push the boundaries of what you thought possible\[\*\] Examine a number of real-world use cases and hands-on code examples.\[\*\] Distribute your microservices in a completely new wayBook DescriptionThe Spring Framework is an application framewor...
2022
EN
Prepare for Microsoft Exam AZ-305 and help demonstrate your real-world expertise in designing cloud and hybrid solutions that run on Microsoft Azure, including identity, governance, monitoring, data storage, business continuity, and infrastructure. Designed for modern IT professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level.Focus on the expertise measured by these ...
Hands-On Security in DevOps
Ensure continuous security, deployment, and delivery with DevSecOps
2018
EN
Protect your organization s security at all levels by introducing the latest strategies for securing DevOpsKey FeaturesIntegrate security at each layer of the DevOps pipelineDiscover security practices to protect your cloud services by detecting fraud and intrusionExplore solutions to infrastructure security using DevOps principlesBook DescriptionDevOps has provided speed and quality benefits with continuous development and d...
Data Engineering with AWS
Learn how to design and build cloud-based data transformation pipelines using AWS
2021
EN
The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesLearn about common data architectures and modern approaches to generating value from big dataExplore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelinesLearn how to architect and implement data ...
Azure for Architects
Implementing cloud design, DevOps, IoT, and serverless solutions on your public cloud
2017
EN
Your one stop guide to making the most out of Azure CloudKey Features?Get familiar with the different design patterns available in Microsoft Azure?Develop Azure cloud architecture and a pipeline management system?Get to know the security best practices for your Azure deploymentBook DescriptionOver the years, Azure cloud services has grown quickly, and the number of organizations adopting Azure for their cloud services is also...
Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
2021
EN
Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big dataKey FeaturesBecome well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in...
Mastering Databricks Lakehouse Platform
Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)
2022
EN
Accessible
Starting with the fundamentals of the databricks lakehouse platform, the book teaches readers on administering various data operations, including Machine Learning, DevOps, Data Warehousing, and BI on the single platform.The subsequent chapters discuss working around data pipelines utilizing the databricks lakehouse platform with data processing and audit quality framework. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operat...











