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AWS EMR Big Data

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10 månader
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3
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AWS EMR runs distributed data processing on clusters. You define job flow (Hadoop, Spark, Presto), upload data to S3, EMR processes it in parallel across worker nodes. Mastery means understanding Spark SQL, RDD/DataFrame operations, job tuning (partition count, memory allocation), and cost optimization. Learning path: distributed computing concepts (2 weeks) → Spark fundamentals (3 weeks) → EMR setup (2 weeks) → tuning + cost optimization (3 weeks).

Vad är AWS EMR Big Data

AWS EMR (Elastic MapReduce) is a managed cluster service for distributed data processing. You specify cluster size, choose frameworks (Spark, Hadoop, Presto, Hive), submit jobs, and EMR handles scheduling across worker nodes. Data lives on S3; clusters process it in parallel; results go back to S3. EMR is for processing terabytes to petabytes of data. For smaller datasets, Athena is simpler.

🔧 VERKTYG & EKOSYSTEM
AWS EMR ConsoleHadoop HDFSApache SparkPresto SQLHiveJupyter NotebooksAWS GlueS3CloudWatchGanglia Monitoring

💰 Lön per region

OmrådeNybörjareMidErfaren
USA$90k$150k$220k
UK£54k£90k£130k
EU€60k€100k€150k
CANADAC$95kC$160kC$230k

🎯 Karriärer som använder AWS EMR Big Data

Cloud Architect
Data Analyst
Ml Platform Engineer

❓ Vanliga frågor

Should I use EMR or Databricks?
EMR: AWS-native, cheaper upfront, more setup required. Databricks: turnkey, built on Spark, better UX, higher cost. EMR if you want control; Databricks if you want simplicity.
What's the difference between Hadoop and Spark?
Hadoop: older, disk-based, slower. Spark: newer, in-memory, 10-100x faster for most workloads. Use Spark in 2026.
When should I use EMR vs. Athena?
Athena: ad-hoc SQL queries on S3. EMR: complex transformations, machine learning, iterative processing. Athena faster for simple queries; EMR for processing pipelines.
How much does EMR cost?
Cluster cost (EC2) + EMR surcharge (~30%). Example: 5-node Spark cluster = $500-1000/mo. S3 data transfer = extra. Use spot instances for 70% savings.
Can I use Jupyter in EMR?
Yes, EMR includes Jupyter. SSH into master node, launch notebooks, run interactive Spark jobs.
What's the best cluster size?
Depends on data size and job complexity. Start small (3-5 nodes), monitor CPU/memory, scale up if needed. Most jobs fit on 10-50 nodes.
Is EMR suitable for production?
Yes, Netflix, Airbnb, large enterprises run EMR. Caveats: cluster management is complex, costs can spike with misconfiguration. Requires ops skill.

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