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Data engineering best practices — Kanerika

Data Engineering Best Practices: A Field Guide for Reliable, Scalable Pipelines

TL;DR The biggest data engineering failures in 2026 trace back to the same root causes: no data contracts, pipelines that break silently, and no observability layer to catch degraded quality before it reaches reporting. Best-in-class teams treat data quality as a first-class concern enforced at ingestion, not discovered downstream. Schema-on-read is not a best practice, it is technical debt that

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Staff augmentation engineering team collaboration banner by Kanerika

Staff Augmentation: Models, When to Use It, and How to Choose

TL;DR Staff augmentation lets you add specialized engineers to your team on a contract basis, expanding capacity without the overhead of full-time hiring. The model works best when you need specific technical skills quickly, have a defined scope, or want to keep IP ownership in-house. Costs typically run 30–50% lower than equivalent onshore employees once you account for benefits and

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Databricks Unity AI Gateway

Databricks Unity AI Gateway (2026): Configuration and Governance Guide

Most enterprise AI teams can tell you which agents are running in production. Few can tell you what those agents are doing in practice: who they’re acting on behalf of, what data they touched, what each call cost, or whether any policy was violated. Databricks built Unity AI Gateway to make that visible and governable. The Databricks Unity AI Gateway was announced

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Our Informative Video Library

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

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Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

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Enhancing Brand Compliance and Approval Workflows with Conversational AI

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Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

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Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

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Enabling Faster Insights with Informatica to Microsoft Fabric Migration

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How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

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How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study

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Enhancing Decision-Making and Reducing Costs with Power BI.

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$1.2M

Average Annual Cost Savings in Logistics Operations

50%

Faster Time-to-market for Fintech and Healthtech products

28%

Boost in Customer Retention in Retail and E-commerce

30%

Reduction in Project Timelines for Pharmaceutical Firms

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