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Mobile development blogs, tutorials and resources inside!Latest Mobile Dev Insights: iOS, Android, Cross-PlatformAdvertise with Us|Sign Up to the NewsletterMobilePro #185: Swift Made Simple—Functional Programming DemystifiedHi ,Welcome to the 185th edition of MobilePro!This week we’re leaning into a topic that quietly supercharges Swift codebases: Functional Programming (FP). If you’ve ever wrestled with tricky state, mysterious side effects, or concurrency gremlins, FP gives you a set of habits that tame complexity without sacrificing performance or readability.Our feature article, adapted from Mastering Swift 6 by Jon Hoffman, cuts past theory and zeroes in on four core principles you can apply today:Immutability: Why working with data that never changes leads to safer, more reliable appsPure functions: How to make your code predictable, testable, and free of hidden side effectsFirst-class functions: Treating functions as values that can be passed, stored, and reusedHigher-order functions: Building flexible abstractions by passing functions into other functionsYou’ll see how each concept maps naturally onto common iOS patterns (networking pipelines, view model transformations, and collection handling), and how small shifts, like returning new values instead of mutating in place, lead to predictable behavior, safer concurrency, and easier testing.Before we jump in, let's take a quick look at last week's highlights:🤖 Sam Altman Touted GPT-5 as Revolutionary—But Users Say It’s Slower, Duller, and Buggy🍎 iOS 26 and iPadOS 26 public beta 2 is now out🔋 Supercharge Your Dart & Flutter Development Experience with the Dart and Flutter MCP Server🚀 Release of React Native 0.81 - Android 16 support, faster iOS builds, and moreTake the Survey!Staying sharp in .NET takes more than just keeping up with release notes. You need practical tips, battle-tested patterns, and scalable solutions from experts who’ve been there. That’s exactly what you’ll find in .NETPro, Packt’s new newsletter, with a free eBook waiting for you as a welcome bonus when you sign up.Join .NETPro — It’s FreeKnow The AuthorJon Hoffman has over 30 years of experience in the information technology field. Over the years, he has worked in system administration, network administration and security, application development, and architecture. He currently serves as an Enterprise Software Manager for Syntech Systems.Outside of his professional life, Jon has a wide range of personal interests that keep him both physically and mentally engaged. He enjoys spending quality time with his two children and his fiancée. He also stays active through running, hiking, paddleboarding, yoga, and working out. In addition, Jon has a deep passion for reading and continues to nurture his love for coding.⚙️ Core principles of functional programming in SwiftFunctional programming is a programming paradigm that views programs as collections of mathematical functions and avoids changing data or states. While Swift is primarily a protocol-oriented language, it offers support for functional programming concepts.Functional programming is based on several fundamental principles, and in this article, we will explore five of the most important principles, starting with immutability.ImmutabilityImmutability is a key concept of functional programming that helps make code more reliable and easier to understand. Basically, immutabilitymeans that once we create a piece of data, we can't or don’t change it. Instead of modifying the original data, we create a new version of the data with the changes.This is different from other programming paradigms where data can be changed or modified frequently, which can lead to unexpected errors and harder-to-track bugs. By preventing data from changing, we ensure that our code behaves in a predictable way, making it easier to track down bugs and other issues with our code.Immutability also makes it safer to run parts of our program in a concurrent environment, because we don't have to worry about one part of our application changing data that another part is using. Overall, embracing immutability in functional programming leads to cleaner, more robust, and maintainablecode.ExampleLet’s look at a code example to illustratethe concept of immutability with Swift:let numbers = [1, 2, 3, 4, 5]let doubled = numbers.map { $0 * 2 }In this example, we begin by defining a constant that holds an array of numbers. Using constants instead of variables is critical for maintaining immutability because, once defined, a constant cannot be changed. When we want to double each number in the array, rather than updating the original array, a new constant is created that contains the new values.Pure functionsPure functions are a fundamentalconcept in functional programming, and they play a critical role in writing reliable and maintainable code. A pure functionis one that, given the same input, always produces the same output and has no additional side effects. This means that pure functions do not modify any external state or depend on an external state, ensuring that their behavior is predictable and consistent.The use of pure functions brings several advantages to functional programming. They make code easier to understand because each function operates independently of external factors. Pure functions also simplify testing and debugging since they can be tested in isolation without considering the broader application state. Furthermore, they enable safer concurrent execution, since the lack of side effects eliminates the risk of one part of the application interfering with another.ExampleLet’s look at a basic example of a pure function:func add(_ first: Int, _ second: Int) -> Int { first + second}let total = add(2,4)In this example, we define a function that takes two arguments and returns the sum of the values. The function operates solely on its input parameters, adding the two values together and returning the result without altering or relying on any external state. This makes the function a pure function, as it produces the same output given the same inputs and has no side effects.First-class functionsFirst-class functions are another key concept in functional programming. They enable us to treat functions as first-class citizens, which means they can be assigned to variables, passed as arguments to other functions, and returned from other functions, just like other data types.First-class functions enable support of keyfunctional programming techniques such as currying and function composition. These techniques help us create a more modular and maintainable code base by breaking down complex operations into simpler, reusable components.ExampleLet’s look at a basic example of how a first-class function works. In this example, we will begin by creating the following two functions:func add(_ first: UInt, _ second: UInt) -> UInt { first + second}func subtract(_ first: UInt, _ second: UInt) -> UInt { first - second} first + second}let total = add(2,4)The first function, add(), will add two numbers together and return the results, while the second function, subtract(), will subtract the second number from the first and return the result. What is key to realize about these two functions is that they have the same function signature where they each accept two unsigned integers and return an unsigned integer ((UInt, UInt) -> UInt).One of the concepts of first-class functions is the ability to assign them to variables or constants. The following example shows how we could do this:let mathFunction = addlet result = mathFunction(8, 4)In this example, we create aconstant named mathFunction and assign the add() function to it. We then use the mathFunction constant to add two numbers together. Alternatively, we could have assigned the subtract() function to the mathFunction constant to subtract the numbers. If mathFunction were a variable instead of a constant, we could change which function is assigned to it at any time.Higher-order functionsHigher-order functions are another key concept in functional programming and significantly improve the flexibility andreusability of our code. A higher-order function is one that can take other functions as arguments, return functions as the result, or both. This enables us to write more abstract and modular code by creating functions that operate on other functions.In functional programming, higher-order functions enable powerful techniques such as function composition, where complex operations are built by combining simpler functions.ExampleAs an example, we will use the same add() or subtract() function that we created in the First-class functions section and create a function that accepts either of these two functions as an argument:func performMathOperation(_ first: UInt, _ second: UInt, function: (UInt, UInt) -> UInt) -> UInt { function(first, second)}In this example, notice that the third argument of the performMathOperation() function, named function, accepts a function with the same functional signature as the add() and subtract() functions, which is (UInt, UInt) -> UInt. Then, within this function, we call the function that was passed in, returning the result. We could then use the performMathOperation() function like this:let result = performMathOperation(8, 4, function: subtract)In this example, we call the performMathOperation() function, passing in the subtract() function as the third argument. After this code is run, the result constant will have a value of 4. (If we had passed in the add() function, the value of the result constant would have been 12.)Swift includes several higher-order functions that are commonly used. Some examples of these are the map(_:), filter(_:), reduce(::), and forEach(_:) functions.ConclusionBy embracing immutability, pure functions, first-class functions, and higher-order functions, Swift developers can unlock the strengths of functional programming. These principles not only lead to more reliable and bug-resistant code but also foster cleaner design and easier scalability.Functional programming may require a shift in mindset, but the payoff in clarity, safety, and maintainability makes it well worth the effort.If you want to dive deeper into the latest Swift 6.2 and build powerful, maintainable apps, then Jon Hoffman's Mastering Swift 6 is the book for you!🚀 Perfect your application development capabilities using the latest features of Swift 6.2🧵 Learn advanced techniques like concurrency, memory management, Generics, and Swift Testing✨ Apply best practices in Swift to write clean, scalable, and maintainable codeMastering Swift 6Buy now at $49.99!👋 And that’s a wrap. We hope you enjoyed this new format of MobilePro.P.S.: If you have any suggestions or feedback, help us improve by sharing your thoughts. Click on the survey below.Take the Survey!Cheers,Runcil Rebello,Editor-in-Chief, MobilePro*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Prompt-Based ETL, Real-Time Analytics Using Zero-ETL for MySQL, PySpark to BigQuery DataFramesThe 16 hour AI challenge: Learn AI, build Products & Earn $10K/MonthChatGPT 5 just dropped and guess what? 300 million jobs became obsolete overnight.While companies are panic-firing entire departments, a small group of AI-skilled professionals are charging $10K/month as consultants to automate those same jobs.The difference? They know the frameworks, workflows, and monetization strategies that 99% of people don't.Join Outskill's 16-Hour AI Sprint this weekend (usually for $895) and become the AI expert companies are desperately hiring – not firing. Register now for freeDate: Saturday and Sunday, 10 AM - 7 PM. 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This issue spans the latest in AI-powered analytics, database modernization, and real-time intelligence. You’ll see how SQL dashboards, agentic AI accuracy frameworks, and Tableau Pulse upgrades are shaping smarter insights, while prompt-based ETL, zero-ETL pipelines, custom GPT SQL Expertand BigQuery migrations are redefining data operations. Add in breakthroughs like regex support in SQL Server 2025, low-latency processing with EMR, and healthcare’s generative AI transformation, and you’ve got a full view of where BI is headed next.Here’s your guide to what’s moving the industry forward, let’s dive in.Cheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights🔲 Building a Database Dashboard with SSRS: If you want to keep track of your SQL Server environment effortlessly, build a database dashboard. This blog shows you how to set up stored procedures, linked servers, and SSRS to collect server details, authentication, clustering, databases, and job stats. The result: a clear, real-time dashboard that transforms raw SQL metrics into actionable monitoring insights.🔲 Ensuring AI Accuracy in Agentic Analytics: AI is reshaping analytics by making complex tasks easier and insights more accessible. This blog outlines Tableau’s framework for validating agentic AI systems, defining accuracy as factuality plus relevance, leveraging human, AI, and program judging, and following a four-step process (benchmark, breadth, interpret, optimize) to deliver trusted, personalized, and reliable analytical results.🔲 Top New Tableau Pulse Feature Releases to Know: Tableau Pulse is evolving fast, delivering smarter, contextual insights directly in the flow of work. This blog highlights the newest releases, from cross-metric analysis and threshold tracking to enhanced Q&A with filtering, multilingual support, and mobile-first controls. These features make data more accessible, actionable, and personalized for every user across your organization.🔄 Real-World Transformation: How Gen BI Made Data Work🔲 How to create your custom GPT SQL Expert: Learn how to build your own custom GPT SQL Expert with ChatGPT’s paid plans. This guide covers configuring a custom GPT, adding a logo with DALL·E, naming and describing the assistant, writing detailed instructions, creating conversation starters, and uploading knowledge files, so you can deliver expert SQL Server support tailored to your needs.🔲 Prompt-Based ETL: Automating SQL Generation. Prompt-based ETL is transforming data pipelines by letting large language models turn plain English into schema-aware, validated SQL. This blog explains how LLM-driven automation accelerates development, reduces errors, and bridges business users with engineers. Covering workflow, validation, and best practices, it shows how prompt-first ETL enables scalable, self-serve analytics and faster, more reliable insights.🔲 Real-Time Analytics Using Zero-ETL for MySQL: Discover how to set up real-time analytics with zero-ETL by integrating Amazon RDS for MySQL with Amazon Redshift using AWS CLI. This tutorial walks through prerequisites, creating parameter groups, configuring RDS and Redshift clusters, setting authorization policies, and building a zero-ETL integration, removing complex pipelines and enabling immediate, actionable insights.⚡ Quick Wins: BI Hacks for Instant Impact🔲 Split strings by Regular Expressions in SQL Server 2025: Explore how SQL Server 2025 introduces native regex support with the new REGEXP_SPLIT_TO_TABLE function. This blog demonstrates splitting strings by multiple delimiters, whitespace, or non-alphanumeric characters, capabilities that go beyond STRING_SPLIT. It also covers wrapper functions, limitations like lack of lookaheads, and why this long-awaited feature is a powerful step forward for parsing in SQL Server.🔲 Achieve low-latency data processing with Amazon EMR on AWS Local Zones: Check how enterprises can achieve single-digit millisecond data processing by deploying Amazon EMR on AWS Local Zones. This blog demonstrates building a Secure Web Gateway with EMR and Apache Flink to process network traffic in real time, covering setup, scaling, performance tuning, and security. Ideal for latency-sensitive workloads like fraud detection, IoT, and AR.🔲 Modernizing healthcare data platforms for generative AI : Find out how healthcare organizations can modernize data platforms to enable generative AI in diagnostics, treatment, and patient care. This blog covers prerequisites like governance and infrastructure assessments, highlights AWS services including HealthLake, SageMaker, and Bedrock, and showcases Innovaccer’s transformation, cutting costs, improving performance, and driving large-scale AI-powered healthcare innovation.🎤 Voices of BI: Lessons from Industry Experts🔲 How Data Is Powering Real-Time Intelligence in Health Systems: Here’s how real-time intelligence is transforming healthcare: integrated EHRs, predictive analytics, and machine learning enable proactive care; telehealth and remote monitoring expand access; and population health strategies address community needs. The article also stresses data security and privacy as essential foundations for trusted, cost-effective, patient-centered outcomes.🔲 Database Center expands coverage: This blog is about new Database Center capabilities for monitoring databases on Google Compute Engine. It introduces support for self-managed MySQL, PostgreSQL, and SQL Server, along with enhanced security checks, custom alerts for new resources and issues, Gemini-powered folder-level chat, and extended 30-day historical comparisons, helping organizations improve visibility, compliance, and operational efficiency across their database fleets.🔲 Deutsche Telekom goes from PySpark to BigQuery DataFrames: This blog is about Deutsche Telekom’s migration of Customer Lifetime Value (CLV) modeling from on-premises systems to Google Cloud BigQuery. It explains why legacy data lakes created bottlenecks, how BigQuery DataFrames and Gemini-assisted code conversion streamlined migration, and how the two-phase strategy delivered scalability, faster insights, stronger security, and improved customer experience.See you next time! Rubrik * { -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; } html, body { margin: 0; padding: 0; } body { margin: 0 auto !important; padding: 0; font-family: Arial, sans-serif; -webkit-text-size-adjust: 100% !important; -ms-text-size-adjust: 100% !important; -webkit-font-smoothing: antialiased !important; } .mktoText a, .mktoSnippet a, a:link, a:visited { color: #03AADD; text-decoration: none; } a[x-apple-data-detectors] { color: inherit !important; text-decoration: none !important; font-size: inherit !important; font-family: inherit !important; font-weight: inherit !important; line-height: inherit !important; } img { border: 0 !important; outline: none !important; max-width: 100%; } table { border-spacing: 0; mso-table-lspace: 0px; mso-table-rspace: 0px; } th { margin: 0; padding: 0; font-weight: normal; } div, td, a, span { mso-line-height-rule: exactly; } ul, ol { Margin-top: 0; Margin-bottom: 0; padding-left: 32px; } li { Margin-top: 0; Margin-bottom: 0; } [owa] .col, .col { display: table-cell !important; } .link-word-break a { word-break: break-all; } .link-normal a, .link-normal a:visited, .link-normal a:link { color: #03AADD; text-decoration: none; } .link-light a, .link-light a:visited, .link-light a:link { color: #FFFFFF; text-decoration: underline; } .flex-button-a { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #0AC9BB; border: 0px solid #0AC9BB; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-a a, .flex-button-a a:visited, .flex-button-a a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } .flex-button-b { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #F2B03B; border: 0px solid #F2B03B; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-b a, .flex-button-b a:visited, .flex-button-b a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } @media only screen and (max-width: 100%; float: none !important; } .mob-full { width: 100%; width: 100%; height: auto !important; } .img-full { width: 100%; max-width: 100%; height: auto !important; } .img-scale { width: 100%; height: auto !important; } .col { display: block !important; } .mob-text-center { text-align: center !important; } .mob-text-default {} .mob-align-center { margin: 0 auto !important; float: none !important; } .mob-align-default {} .mob-hide { display: none !important; visibility: hidden !important; } } @media yahoo { * { overflow: visible !important; } .y-overflow-hidden { overflow: hidden !important; } } div#emailPreHeader { display: none !important; } Unpack critical strategies to protect patient data and ensure operational continuity... When it comes to cyberattacks, prevention is no longer enough. You must assume breach - but that doesn't mean that you can't fight back. With the right strategies and technologies in place, you can maintain patient care even during cyber attacks. Building a resilient cyber strategy has never been more important. Join us virtually for Rubrik’s Healthcare Summit on September 10th to gain vital insights into the challenges facing organizations and the future of cybersecurity in healthcare. Leaders like John Riggi, the National Advisor for Cybersecurity and Risk, American Hospitals Association will cover critical topics including: Day Zero: Navigating the Aftermath: Immediate steps post-cyberattack, exploring new recovery approaches beyond traditional methods. From Crisis to Continuity with the Minimum Viable Hospital: Learn to define and rapidly restore core applications critical for patient care continuity. Rubrik for Healthcare: Discover modern cyber resilience capabilities, including automated ransomware recovery and rapid data restoration. We’ll unpack all this and more in the Healthcare Summit on September 10. Save your spot now. 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