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🔄 Hadoop Migration Workshop

Status Level Duration

Migrate on-premises Hadoop workloads to Azure. Learn assessment, planning, and execution strategies.

🎯 Learning Objectives

  • Assess on-premises Hadoop clusters
  • Plan migration strategy
  • Migrate data and workloads
  • Optimize for Azure
  • Validate and cutover

📋 Prerequisites

  • On-premises Hadoop cluster or access
  • Azure subscription with adequate quota
  • HDInsight or Databricks experience
  • Understanding of Hadoop architecture

🔍 Step 1: Assessment

Inventory Collection

# Collect cluster metrics
yarn node -list > cluster-nodes.txt
hdfs dfsadmin -report > hdfs-report.txt
yarn application -list -appStates ALL > applications.txt
hive -e "SHOW TABLES" > hive-tables.txt

Workload Analysis

  • Identify data sources and sizes
  • Map job dependencies
  • Document SLAs and performance requirements
  • List security and compliance needs

📊 Step 2: Migration Strategy

__Lift and Shift vs Modernization**

Lift and Shift (HDInsight) ✅ Fastest migration ✅ Minimal code changes ❌ Limited modernization

Modernize (Databricks/Synapse) ✅ Better performance ✅ Modern features ❌ More effort

Migration Phases

  1. Pilot - 1-2 workloads
  2. Wave 1 - Non-critical workloads
  3. Wave 2 - Production workloads
  4. Decommission - Turn off on-prem

🚀 Step 3: Data Migration

__Use AzCopy or DistCp**

# DistCp from on-prem to Azure
hadoop distcp \
  hdfs://onprem-namenode:8020/data/* \
  wasb://container@storageaccount.blob.core.windows.net/data/

# AzCopy
azcopy copy \
  "hdfs://onprem-namenode:8020/data/*" \
  "https://storageaccount.blob.core.windows.net/container" \
  --recursive

🔧 Step 4: Workload Migration

__Hive Scripts**

-- Migrate Hive tables
CREATE EXTERNAL TABLE sales_azure
STORED AS ORC
LOCATION 'wasb://data@storageaccount.blob.core.windows.net/sales/'
AS
SELECT * FROM sales_onprem;

__MapReduce to Spark**

# Modernize MapReduce to Spark
# Old MapReduce
# New Spark
df = spark.read.csv("wasb:///data/sales.csv")
result = df.groupBy("category").sum("amount")

✅ Step 5: Validation

  • Compare data counts
  • Run test queries
  • Benchmark performance
  • Verify security

📚 Resources

Last Updated: January 2025