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Cloud Migration

Seamless, Scalable, and Smart Migration to Any Cloud

Seamless Data Migration to Any Cloud

Migrating data to the cloud can be complex, but Sparkflows makes it effortless with automation, flexibility, and enterprise-grade performance. Whether you're moving to AWS, GCP, Azure, or Databricks, Sparkflows ensures a smooth and efficient transition.

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Features 

Automated Workflow Conversion

Migrate ETL processes from legacy tools like Informatica, DataStage, and Ab Initio effortlessly. Our automated conversion reduces manual effort and accelerates migration timelines.

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Multi-Cloud Compatibility

Deploy on AWS (Glue, EMR), GCP (BigQuery, Dataproc), Azure (Synapse, HDInsight), or Databricks without worrying about compatibility issues.

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Scalable Data Processing

Execute jobs on Apache Spark, Kubernetes, or serverless architectures, ensuring your workloads scale effortlessly as your data grows.

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How it Works?

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1. Assess & Plan

Analyze existing workflows, dependencies, and cloud suitability.

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2. Automate & Convert

Transform legacy ETL processes into optimized cloud-native workflows.

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3. Validate & Optimize

Perform rigorous testing to ensure accuracy, performance, and compliance.

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4. Deploy & Scale

Execute workloads in the cloud with auto-scaling and cost-efficient resource utilization.

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