Behind every smooth integration lies something more powerful than code communication. In this episode of Data Flow Radio, we explore the human side of integration: how engineers can speak the language of business, uncover hidden integration needs, and build trust through better conversations.
You’ll learn how to talk to non-technical stakeholders, identify integration opportunities they don’t even realize exist, and manage expectations without losing your sanity.
In this episode of Data Flow Radio, I unpacks the subtle but powerful difference between these two and why it matters more than ever in today’s AI-driven world.
You’ll hear how:
Integration connects your systems and makes data flow seamlessly.
Automation builds on that data to trigger actions, workflows, and decisions.
Tools like Boomi, Workato, and Make.com are blurring the line between both.
Real-world architectures show how integration and automation complement each other, not compete.
Plus, some facts , modern architectures, and how AI is reshaping the boundary between data movement and process automation.
Integrations are the lifelines of modern businesses, but without proper governance and security, they can quickly turn into hidden risks. In this episode of Data Flow Radio, we explore why governance and security matter in integration, share real-world stories of failures and fixes, and break down best practices for iPaaS, data, and automation engineers. Learn how to secure your data flows, enforce accountability, and build trust in every integration.
ETL has been the backbone of data engineering for decades, but AI is starting to change the game. In this episode, we explore how tools like Airbyte with GenAI and OpenAI + LangChain are making pipelines more dynamic, conversational, and self-healing. Will AI replace ETL, or simply become the co-pilot every engineer needs?
Discover the difference between master data and transactional data, and why it’s a critical concept in every integration flow.
This episode covers:✅ What master and transactional data really are✅ Why data ownership and sync timing matters✅ Common mistakes to avoid✅ A real-world case study where it all went wrong
A must-listen for anyone working with APIs, iPaaS tools, or data pipelines.
In this episode of Data Flow Radio, we dive into the power of prompt engineering not for writers or creatives, but for integration engineers.
Whether you're working in Boomi, Workato, Make.com, or Mulesoft, this episode shows you how to harness LLMs like ChatGPT to accelerate everyday integration tasks: data transformation, error handling, mapping, and even building flows.
🎧 Tune in and start prompting like an engineer.
In this episode of Data Flow Radio, we dive into the exciting world of iPaaS 2.0, the next evolution of Integration Platform as a Service. Discover how it differs from traditional iPaaS with smarter, AI-driven workflows, real-time data sync, and tools that empower everyone from IT pros to business users. We explore how industry leaders like Boomi, Workato, and MuleSoft are adapting, and spotlight rising stars like n8n, Pipedream, and Make, who are shaking up the integration game with innovative approaches. Join us for a conversational, story-driven look at why iPaaS 2.0 is transforming how businesses connect and automate. Perfect for integration engineers, automation enthusiasts, and curious developers!
Middleware is getting a major upgrade - are you ready?!
Imagine integrations that understand context, meaning, and adapt seamlessly to messy, real-world data, without tedious mappings or brittle logic.
In this week's DataFlowRadio podcast, I dive into how Large Language Models (LLMs) might reshape how we build integrations. I'll share real-world scenarios, eye-opening examples, and why middleware could soon become smarter than ever.
Are LLMs the future "glue" connecting our tech? Tune in, stay ahead, and let's discuss!
Ever heard the term "webhook" and wondered what it actually means? In today's episode of Data Flow Radio, we unpack webhooks from scratch, breaking down exactly what they are, how they work, and why they're crucial for instant, real-time integrations.
We'll explore easy-to-follow real-world examples, share best practices, highlight common mistakes (and how to avoid them), and arm you with practical advice to confidently use webhooks in your daily workflows.
Whether you're brand new to webhooks or looking to level-up your integration skills, this episode is your go-to resource. Tune in, get hooked on webhooks and take your integrations from slow and manual to smart and instant!
A behind-the-scenes look at how data flows… and the middleware that makes it possible.
What actually happens between systems when data moves from one to another? In this episode of Data Flow Radio, we take a deep dive into the world of integration architecture — but from the unique perspective of middleware.
From point-to-point basics to event-driven models and API-led strategies, you’ll discover how middleware platforms like Boomi, Workato, MuleSoft, and Kafka shape the way systems communicate, scale, and evolve.
In this episode, you’ll learn:
Whether you’re designing integrations, prepping for an interview, or just curious about how things work behind the scenes, this one’s packed with practical insight and clarity.
In this episode of Data Flow Radio, we explore a practical blueprint for delivering successful integration projects. From understanding the business need to choosing the right tools, designing for failure, and building with scalability in mind, you'll hear real-world best practices to guide your next integration. Whether you're just starting out or refining your approach, this episode offers clear, actionable insights to help you build smarter, more reliable data flows
In this episode we explore the critical differences between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), two foundational approaches to building data pipelines. We break down the architecture of each process, highlighting how ETL transforms data before loading it into a target system, while ELT leverages modern cloud data platforms to transform data after loading. Through real-world examples, we illustrate when to choose ETL for structured, compliance-driven scenarios versus ELT for scalable, flexible analytics with big or unstructured data. The episode also addresses common challenges, such as managing the gap between loading and transforming in ELT to ensure reliable insights for dashboards and reports. Packed with practical insights and a clear checklist for decision-making, this episode equips listeners with the knowledge to design effective data pipelines tailored to their organization’s needs.
Get ready for an awesome episode of Data Flow Radio! I’m your host, Harsha, and today we’re diving into the super-cool world of data integrations, the secret sauce that makes businesses run like a dream. If you’re a new dev or just starting out, this one’s for you! We’re going to unpack what integrations are, why they’re a total game-changer, how they’ve grown from old-school manual work to slick, modern systems, and how AI is making them even more exciting. Picture running your own online shop selling dope jackets, and let’s see how integrations keep everything clicking. You’ll learn how to spot when you need them, how to build them, and how to jump into this field with some fun tools. From saving the day for big companies to sparking your career, this episode will show you why integrations are the heartbeat of data and how to ride the AI wave to get started. Tune in, get pumped, and let’s make that data flow!
Dive into the essentials of ETL (Extract, Transform, Load) and learn how to build scalable data pipelines. I break down each stage of ETL, explore its role in data workflows, and share best practices for creating pipelines that grow with your data. Perfect for beginners and pros, this episode offers practical insights to keep your data flowing smoothly. Human-crafted, not AI ;)