Here is short info about post: Imagine asking your BigQuery data questions like “Which products sold the most last month?” in plain English—and getting an immediate, accurate answer. This is now possible using the Model Context Protocol (MCP), which lets Claude Desktop securely connect to a BigQuery MCP server and turn natural language into actionable SQL queries. In this article, you’ll learn: What MCP is and why it matters How to install and configure a BigQuery MCP server How to connect Claude Desktop to BigQuery How ... How To Build An MCP Server That Allows Claude’s Desktop To Connect To Your BigQuery Data And Talk To Your Data In Natural Language

Here is short info about post: In modern software engineering, data validation is often treated as an implementation detail. It’s something we do at the edges of a system: sanitize user inputs, check constraints, and move on. However, when designing robust systems grounded in solid object-oriented principles, validation deserves deeper consideration. A particularly important lens for this discussion is the Liskov Substitution Principle (LSP), one of the five SOLID principles. The Liskov Substitution Principle states: Objects of a superclass should be replaceable with objects of a ... How Data Validation Relates To The Liskov Substitution Principle — How To Model Validated Data As A Separate Type

Here is short info about post: The Minecraft Protocol (MCP) JSON logging over stdio (standard input/output) is a powerful technique for monitoring, debugging, or processing Minecraft-related communications between client and server. Whether you’re building bots, debugging modded servers, or integrating Minecraft with external tools, intercepting the JSON message stream via stdin and stdout allows fine-grained control and complete transparency. In this article, we’ll walk through: The basics of MCP JSON protocol and why to log it Setting up a command-line wrapper to intercept and log MCP ... How to log the MCP JSON protocol over stdio

Here is short info about post: Healthcare organizations face the dual challenge of innovating quickly in the cloud while maintaining strict compliance with regulations such as HIPAA, HITECH, and GDPR. Microsoft Azure offers a robust set of native services that enable security, compliance, and governance without adding excessive complexity. This article walks through building a secure and compliant cloud on Azure for healthcare clients using Role-Based Access Control (RBAC), Customer-Managed Keys (CMK) encryption, and Azure Policy enforcement, complete with practical coding examples. Understanding the Compliance Landscape ... How to Build a Secure, Compliant Cloud on Azure for Healthcare Clients Using Native Services Like RBAC, CMK Encryption, and Policy Enforcement

Here is short info about post: Amazon EMR (Elastic MapReduce) is a managed big-data platform that simplifies running frameworks like Apache Hadoop and Spark at scale. Choosing the right storage approach—EMRFS vs HDFS—is central to optimizing performance, cost, and flexibility. Here’s how each file system helps—and when a hybrid approach shines. What Is HDFS on Amazon EMR? Hadoop Distributed File System (HDFS) is a distributed, scalable, and fault-tolerant file system that stores data across cluster nodes. It ensures redundancy through replication, low latency by virtue of ... How EMRFS and HDFS Can Optimize Big Data Processing on Amazon EMR

Here is short info about post: In today’s fast-paced cloud-native environment, developers and operations teams face a fundamental decision: whether to run workloads on virtualized containers or on bare metal servers. Each approach comes with its own trade-offs in performance, scalability, flexibility, and cost. This article explores these differences in depth, complete with code snippets to illustrate how they are typically implemented. Understanding Bare Metal Bare metal refers to running an operating system or application directly on a physical machine without any intermediate layer of virtualization. ... Virtualized Containers vs. Bare Metal: A Deep Dive with Examples

Here is short info about post: The rise of cloud computing has dramatically changed how businesses design and deploy applications. Among the many cloud-native paradigms, serverless computing and dedicated cloud servers represent two distinct approaches to database management. Each offers unique benefits, trade-offs, and cost considerations. This article provides an in-depth comparison of serverless databases and dedicated database servers in the cloud, illustrated with coding examples and ending with a comprehensive conclusion. What Is a Serverless Database? A serverless database automatically manages infrastructure provisioning, scaling, and ... Comparison Of Serverless Databases And Dedicated Database Servers In The Cloud

Here is short info about post: Apache Spark has long been a cornerstone of distributed data processing, providing developers and data engineers with powerful abstractions for handling large-scale datasets. Traditionally, Spark pipelines have been imperative—you explicitly define how the computation should happen. However, declarative pipelines are gaining attention as they allow you to define what you want as the outcome of your data processing, leaving Spark to optimize the how. This article explores Apache Spark declarative pipelines in depth, complete with coding examples, best practices, and ... Apache Spark Declarative Pipelines That Allow You To Define The Desired Outcome Of The Entire Data Pipeline

Here is short info about post: Jetpack Compose is Google’s modern toolkit for building native Android user interfaces using a declarative and reactive approach. Rather than manipulating XML layouts and manually synchronizing UI with data, Compose allows developers to describe how the UI should look based on the current state — and the framework handles the rest. This not only reduces boilerplate code but also makes your UI easier to maintain and test. In this article, we’ll walk through building a simple app using Jetpack Compose. ... How To Build A Simple App Using Jetpack Compose, A Reactive Programming Pattern That Powers Android UI Development

Here is short info about post: AI-assisted coding tools (autocomplete, code generation, refactoring assistants, test generation, etc.) have transformed developer workflows — boosting productivity, reducing boilerplate, and helping junior engineers get unstuck. But they also introduce real, tangible problems that teams must recognize and manage. This article examines the most important problems with AI-assisted coding, demonstrates a few concrete failure modes with code examples, and outlines practical mitigations and best practices. Overreliance and Loss of Deep Understanding One of the first problems is cognitive: if developers ... Existing Problems With AI-assisted Coding

Here is short info about post: Automated testing plays a pivotal role in ensuring software quality. Among the many strategies, data-driven testing (DDT) stands out because it allows the same test logic to be executed multiple times with different sets of input data. Instead of duplicating test code, you can provide various input-output combinations, improving coverage, reducing redundancy, and making your tests easier to maintain. In Java, JUnit 5 offers a rich set of annotations and features that make implementing data-driven tests straightforward and efficient. This ... Data-Driven Testing With JUnit 5

Here is short info about post: Modern AI interactions increasingly rely on context-aware models to provide coherent, accurate, and secure responses. To support this, the Model Context Protocol (MCP) was introduced—a lightweight HTTP-based protocol that manages memory, context, and interaction history for language models in a structured and interoperable way. In this article, we’ll walk through how to develop an MCP server using the Java SDK, providing code examples, architectural guidance, and practical insights into implementing, extending, and deploying a fully functional MCP-compliant server. What Is ... How To Develop an MCP Server Using the Java SDK