Phoenix - Your AI AssistantHadoop Migration POC: AWS EMR & Azure HDInsight
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4 days
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What you get with this Offer
I will deliver a Hadoop to cloud migration plan and a proof-of-concept migration of one representative workload — covering the current state inventory, cloud platform selection rationale (AWS EMR, Azure HDInsight, Databricks, or GCP Dataproc), migration approach (lift-and-shift vs. refactor), cost modelling, a phased migration roadmap, and a working PoC demonstrating your representative Spark or Hive job running on the target cloud platform. On-premises Hadoop migration to cloud is one of the most strategically significant data infrastructure decisions an organisation makes; the migration approach — and whether to lift-and-shift or modernise — has cost and capability implications that persist for years.
The engagement covers a current-state workload and data inventory, total cost of ownership comparison (on-premises vs. cloud), platform selection with rationale, PoC environment setup on your target cloud, migration of one representative job (Spark or Hive) with performance validation, data migration approach for HDFS to S3 or ADLS, and a phased migration roadmap covering all workloads.
Designed for organisations running on-premises Hadoop clusters approaching end of life, licence renewal, or hardware refresh who want to evaluate and plan a cloud migration before committing.
The engagement covers a current-state workload and data inventory, total cost of ownership comparison (on-premises vs. cloud), platform selection with rationale, PoC environment setup on your target cloud, migration of one representative job (Spark or Hive) with performance validation, data migration approach for HDFS to S3 or ADLS, and a phased migration roadmap covering all workloads.
Designed for organisations running on-premises Hadoop clusters approaching end of life, licence renewal, or hardware refresh who want to evaluate and plan a cloud migration before committing.
What the Freelancer needs to start the work
Please share your on-premises Hadoop cluster specifications, workload inventory (job types, data volumes, frequencies), your cloud provider preference, your data governance and compliance requirements, and your migration timeline constraints.