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Latest Articles

Kanerika blog banner for Databricks MLOps showing a data analyst reviewing charts and model performance dashboards.

Databricks MLOps: How to Build Production-Ready ML Pipelines

July 16, 2026

TL;DR Databricks MLOps is the practice of operationalizing machine learning on the Databricks Lakehouse platform, covering the full lifecycle from data ingestion and feature engineering through model training, versioned deployment, and ongoing monitoring. It uses four core components: Delta Lake for governed data storage, MLflow for experiment tracking and model registry, Unity Catalog for centralized access control and lineage, and

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Streamlit in Snowflake

Streamlit in Snowflake: A Practical Guide to Building Enterprise Data Apps

July 16, 2026

TL;DR Streamlit in Snowflake lets data and engineering teams build interactive apps directly on their Snowflake data, with zero external servers, zero data movement, and zero separate auth layers. Apps run inside the platform, inherit Snowflake’s RBAC and governance, and connect natively to Cortex AI and Snowpark. The tradeoffs are real but narrow: access requires a Snowflake account, custom components

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Snowflake external tables

Snowflake External Tables Explained: Setup, Performance Tuning, and the Iceberg Decision

July 16, 2026

TL;DR Snowflake external tables let teams query data stored in AWS S3, Azure Blob, or Google Cloud Storage using standard SQL without moving files into Snowflake. They store only file-level metadata, are strictly read-only, and support CSV, Parquet, JSON, Avro, ORC, and XML formats. Performance depends heavily on partitioning and file sizing. For recurring production workloads, Apache Iceberg tables are

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Kanerika blog banner for Databricks MLOps showing a data analyst reviewing charts and model performance dashboards.
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  • Paridhi Agrawal

Databricks MLOps: How to Build Production-Ready ML Pipelines

Streamlit in Snowflake
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  • Harisha Patangay

Streamlit in Snowflake: A Practical Guide to Building Enterprise Data Apps

Snowflake external tables
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  • Lekhya Veera

Snowflake External Tables Explained: Setup, Performance Tuning, and the Iceberg Decision

AI Factory
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  • Harisha Patangay

What Is an AI Factory? Architecture, Use Cases, and How Enterprises Build One

Snowflake and Fabric- data sharing and migration
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  • Sagar Uppili

Migrate, Coexist, or Phase It: Snowflake and Microsoft Fabric Decision Framework

Kanerika blog banner for Claude Partner Network showing business leaders discussing enterprise AI strategy.
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  • Paridhi Agrawal

Claude Partner Network: Tier Requirements, Partner Benefits, and Buyer Guidance

Our Informative Video Library

In this video, Amit Chandak, Kanerika’s CAO and Microsoft MVP, explains how Kanerika helped FoodPharma speed up business reporting with Microsoft Fabric.The result: reporting time reduced from two business days to about 90 minutes, with the BI team saving nearly 15 hours every week.Read the full story here: https://www.microsoft.com/en/customers/story/26704-foodpharma-microsoft-fabricBook a consultation: www.kanerika.com/meet 1:02
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy41ODIyMTgwQzA4NjJCQkZC

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

Kanerika Inc. June 15th

A global interconnect manufacturer was running its entire analytics operation on legacy QlikView. Manual scripting, slow refreshes, and a reporting setup where every small change needed a specialist.We moved them to real-time Power BI on Microsoft Fabric using FLIP. The video breaks down what we migrated, how the new pipelines work, and the numbers on maintenance, refresh speed, and cost.Watch to see the full before and after.Case study: https://kanerika.com/case-studies/transforming-legacy-qlikview-reporting-into-real-time-power-bi-analytics/Talk to our team: https://www.kanerika.com/meet#PowerBI #QlikView #MicrosoftFabric #DataMigration #BusinessIntelligence 1:41
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5FRjdGNDMzN0I2RTI3MDlG

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

Kanerika Inc. June 3rd

When brand guidelines live across emails, folders, PDFs, and different teams, consistency breaks fast.A leading payments technology company was dealing with slow approvals, compliance gaps, and constant dependency on internal brand experts across markets and partners.Kanerika helped solve it with a conversational AI assistant that centralized brand knowledge, automated query resolution, and gave teams instant self-service access to approved guidelines.Results: • 35% improvement in brand compliance • 60% faster approval turnaround • 70% reduction in manual effort per queryThis is what happens when AI removes operational friction from enterprise brand governance.#ConversationalAI #BrandCompliance #EnterpriseAI #AITransformation #BrandGovernance #GenerativeAI #Automation #Kanerika 1:47
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy41RDUzRjJFQ0Y0MUI3NzU1

Enhancing Brand Compliance and Approval Workflows with Conversational AI

Kanerika Inc. May 18th

Regulatory compliance doesn't scale with manual processes. When a compliance firm serving financial institutions needed to handle growing regulatory volume across jurisdictions, they needed more than a tool upgrade.Kanerika built them a centralized AI compliance platform from the ground up — automated requirement mapping, real-time regulatory tracking, integrated dashboards, and full audit traceability across systems.The outcome: 40% faster regulatory response, 60% less manual work, and 5x better audit traceability.This is the kind of work we do at Kanerika — taking fragmented compliance operations and rebuilding them with AI and data infrastructure that actually holds up at scale.🔗 Read the full case study: https://kanerika.com/case-studies/enhancing-compliance-oversight-with-ai-regulatory-management-platform/ 💬 See what we can build for your team: www.kanerika.com/meet 1:37
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5ERENFNTk4Q0Q2MTZDMTA5

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Kanerika Inc. May 13th

Fortegra, a leading insurance provider, was facing delays and errors in premium reconciliation due to manual processes and unstructured data.In this video, see how Kanerika helped streamline operations using UiPath and Python.What’s covered:Automated bank statement capture Accurate data extraction and validation End-to-end reconciliation and system updatesResults: ✔ 85% faster reconciliation ✔ 99% data accuracy ✔ 100% removal of manual updatesStill running manual finance processes?👉 Book a meeting: www.kanerika.com/meet 1:39
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy4yM0EyQ0U1M0I2RkIwNTQ0

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

Kanerika Inc. April 14th

A global enterprise had no shortage of data—but getting timely insights from it was a different story.As their scale grew, their Informatica setup started holding them back. Reports took longer, data was locked in batch cycles, and different regions were working with different versions of the truth.We worked with them to move to Microsoft Fabric—but this wasn’t just a tech migration. It changed how their teams accessed, trusted, and acted on data every day.In this video, we break down what was really slowing them down, what we changed, and how that shift impacted performance at scale.If you’re dealing with similar bottlenecks, this will feel very familiar.👉 Want to see what this could look like for you? https://kanerika.com/meet#MicrosoftFabric #DataModernization #DataEngineering #Analytics #DigitalTransformation #Kanerika 1:34
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5DQjg2RDQyMEVGQkZFOEVF

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

A leading pharmaceutical manufacturer struggled with slow, manual sales and finance reporting. Data lived across many systems, numbers did not match, and teams spent weeks preparing reports instead of reviewing performance.Kanerika implemented Microsoft Fabric to unify sales and finance data in a single Lakehouse. With governed analytics and Power BI dashboards, leaders gained instant access to accurate KPIs and trends.Business Impact: • 95% reduction in reporting effort • 40% improvement in operational efficiency • 35% lower operating costsReady to move from manual reports to trusted insights? Connect with Kanerika: www.kanerika.com/meet 1:33
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy4wQUE0QzM4MkJGQ0YwQjUx

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

Kanerika Inc. January 20th

A global packaging leader was stuck with a slow and costly data setup. Their Azure Data Factory and Synapse pipelines were scattered, slow and hard to manage. By moving to Microsoft Fabric with help from Kanerika, they cut costs, sped up data flows and built a cleaner, stronger foundation for growth.In this case study, we walk through • How fragmented pipelines were holding them back • Why their Parquet conversions caused delays and failures • How a single governance setup fixed repeat work • The steps we used to shift them to Fabric with our accelerator • The wins they saw across cost, speed and insightsKey Outcomes: • 30% lower cloud and data costs • 50% faster pipelines • Insights ready 80% quickerIf you want to modernize your own data setup, reach out to us here: www.kanerika.com/meet#microsoftfabric #datamigration #kanerika #cloudoptimization #dataperformance #azuredata #fabricmigration #dataengineering #digitaltransformation #caseStudy 1:20
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5GMDBDNkJGMzYzREUyMTYw

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

Kanerika Inc. December 14th

A global pharmaceutical leader operating across 50+ countries was struggling with slow, costly, and inefficient business intelligence systems. Legacy tools limited collaboration, delayed insights, and increased operational expenses.That’s when Kanerika stepped in to modernize their analytics landscape using Microsoft Power BI.Here’s what we delivered: ✔ Migrated Tableau reports to Power BI using our proprietary automation solution ✔ Reduced BI licensing and infrastructure costs through optimized implementation ✔ Enhanced governance and accessibility with scalable, secure Power BI modelsThe impact: 🚀 45% boost in operational performance 💰 30% reduction in BI-related costs ⚡ 70% faster reporting cycles across global teamsBy embracing Power BI, the client transformed their reporting ecosystem—making insights real-time, interactive, and decision-ready.👉 Looking to modernize your BI and analytics infrastructure? Let’s talk: https://kanerika.com/meet#PowerBI #DataAnalytics #BusinessIntelligence #DataVisualization #DigitalTransformation #Kanerika #BI #DataModernization #AnalyticsTransformation #MicrosoftPowerBI #DataEngineering #ReportingAutomation #DataGovernance #DataStrategy 1:29
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5CMUM0NzY5NzdEQzlGRjAx

Enhancing Decision-Making and Reducing Costs with Power BI.

Kanerika Inc. November 24th

Industry-Report-2026-assets-Desktop-Banner
The state of enterprise AI and data modernization on 2026

The State of Enterprise AI and Data Modernization 2026

The State of Enterprise Data Platform Migrations 2026
The State of Enterprise Data Platform Migrations 2026

The State of Enterprise Data Platform Migrations 2026

$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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