Data Management at ScaleAs data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption.
Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. ...
Learn Microservices with Spring Boot, 2nd EditionBuild Java-based microservices architecture using the Spring Boot framework by evolving an application from a small monolith to an event-driven architecture composed of several services. This revised book follows an incremental approach in teaching the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization.
This updated book now covers what's been added to the latest Spring Boot release, including support for the latest Java SE; more deep-dive knowledge on how Spring Boot works; testing with JUnit 5; changes in the Spring Cloud tools used for service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E traceability with Sleuth; centralized configuration with Consul; many dependency upgrades; support for Spring Data Neumann; and more.
Author Moises Ma ...
Graph Databases For BeginnersWhether you're a business executive or a seasoned developer, something has led you on the quest to learn more about graphs - and what they can do for you.
This ebook will take those new to the world of graphs through the basics of graph technology, including: Using the intuitive Cypher query language; The importance of data relationships; Key differences between graph and relational databases; And much more.
Learn why implementing graph technology will give you fast data insights and a sustainable competitive advantage for your business. ...
Pro .NET 5 Custom LibrariesLeverage .NET 5, Microsoft's bold new cross-platform implementation, for developing your very own cross-platform custom data types and libraries for Windows, Linux, and macOS.
The book starts with the purpose and benefits of a custom cross-platform model of .NET data types and its architectural implementation in detail. Next, you will learn fundamental operations such as the equality and inequality operations in .NET 5, demonstrated with sample projects in C#. Implementation of comparison and sorting operations is discussed next followed by a discussion on cloning operations. Here you will learn details of overriding the clone virtual method and its implementation. Moving forward, you will understand custom formatting with specialized .NET data types in various functions and how to implement it. You will then go through .NET reference types along with developing a custom library for working with the software project. Finally, you will explore .NET 5 assemblies and modules followed ...
Mastering Splunk 8Splunk is the most widely used engine for working with machine-generated data. This expert-level guide will help you to leverage advanced use cases to drive business growth using operational intelligence and business analytics features.
You'll start with an introduction to the new features in Splunk 8 and cover step-by-step exercises that will help you to understand each feature in depth. Next, you'll explore key tasks such as workload management, performance and alerting, Splunk Enterprise Security, and advanced indexing. You'll also learn how to create categorical charts and run analytical operations on metrics within the Splunk Analytics workspace, before understanding how to deliver insights across your organization even when faced with limited or complex data using advanced data analytics. The book will also show you how to monitor and maintain Splunk environments using advanced dashboards. Later, you'll create custom data visualizations and update dashboards using drag and dro ...
Azure Arc-Enabled Data Services RevealedGet introduced to Azure Arc-enabled data services and the powerful capabilities they provide to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Posgres in your corporate data center as if they were part of the Azure platform. You will learn how to benefit from the centralized management that Azure provides, the automated rollout of patches and updates, and more.
This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get services such as Azure SQL Managed Instance and PostgresSQL Hyperscale, deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in thi ...
Kubeflow Operations GuideBuilding models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads-a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable.
Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft.
Dive into Kubeflow architecture and learn best practices for using the platform; Understand the process of planning your Kubeflow deployment; Install Kubeflow on an existing on-premise Kubernetes cluster; Dep ...
Azure Tips and TricksWhen I reflect back on Azure Tips and Tricks a year ago, I was only thinking that I'd write a couple of posts and move on. Fast-forward to today, the collection has grown to over 150+ tips, as well as videos, conference talks, and now an eBook spanning the entire universe of the Azure platform. What you are currently reading is a special collection of tips based on page views of the entire series over the last year. I've grouped the top tips and landed on four categories that cover web, data, serverless, and productivity. ...
Building Custom Tasks for SQL Server Integration Services, 2nd EditionBuild custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you've already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR).
All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development.
Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this book show how to create a c ...
Modern Data ProtectionGive your organization the data protection it deserves without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and Salesforce; and persistent data created by Kubernetes and container workloads.
To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach.
- Learn the workload types that your organization should be backing up;
- Explore the hardware, software, and ser ...