Microsoft Fabric Data

The first-mile of Microsoft Fabric Data Engineering and why it matters

Introduction: Fabric’s promise, and its first-mile gap Microsoft Fabric has made a big splash as the “all-in-one” platform for analytics, BI, and AI. The idea is powerful: it brings together storage, compute, and intelligence into a unified experience, letting analysts, data scientists, and business users all work from the same foundation. The vision is clear […]

Quickbooks litify integration

Why Litify–QuickBooks Expense Tracking Gets Messy (And How Actually to Fix It)

Ever tried to reconcile expenses between Litify and QuickBooks and felt like you were stuck in traffic with no clear path forward? You’re not alone. Behind every neat dashboard and tidy expense report is a tangled web of data mapping, sync triggers, and real, human frustration. Most law firms, in their pursuit of seamless financial […]

Microsoft Fabric Replication platform

DBSync launches first-mile replication for Microsoft Fabric

We’re excited to announce that DBSync now supports replication to Microsoft Fabric: Warehouse and SQL Database. With this update, organizations can move CRM, ERP, and SQL data directly into Fabric in a way that’s clean, consistent, and analytics-ready. This means Fabric customers can accelerate BI, AI, and real-time decision-making without relying on fragile, manual, or […]

csv to pdf data loss

CSV to PDF Data Loss: The Silent Killer of Document Conversion

Introduction Every modern business relies on structured data. From financial reports and bills to compliance logs and records, data is constantly collected, processed, and shared across systems and people. CSV files (Comma-Separated Values) play a crucial role due to their organized, lightweight, and portable nature. They act as bridges in many workflows. But there is […]

Data Lake vs. Data Warehouse

Beyond Data Lake vs. Data Warehouse: The Path to Integration and Convergence

Introduction: Why This Debate Matters More Than Ever If you try searching for “Data Lake vs. Data Warehouse” online, you will find numerous explanations like these: “Lakes hold raw data; warehouses hold structured data.” Are these helpful? Yes, to build a basic understanding. But can this be used for making an informed decision? Not really. […]

Data Migration Nightmares

How to Avoid Salesforce Data Migration Nightmares: Lessons from a Real Project

Why Data Migration Can Turn Into a Nightmare Moving data from one system to another may seem like a simple task, but in reality, it often causes significant problems, costly errors, and unhappy teams. In this blog post, we’ll discuss how a seemingly simple salesforce data migration project became complicated due to outdated data, poor […]

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