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Explore the transformation potential in your business
/ Assessment
- Say yes to key questions
- Is my optimization strategy for Update/Merge on Amazon EMR apt?
- Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
- Can I assess HQL and Spark SQL queries?
- Will my technologies be mapped?
- Will by workloads be categorized by patterns and usage?
- Can I get insights on Hadoop infrastructure such as line of business visualizations, workload types and patterns, and identi¬fication of storage needs?
/ transformation
- Automated migration readiness inventory
- TCO and optimized T-shirt sizing for the matching target capacity
- Automated workload optimization
- Service mapping
/ validation
- Automated transformation of:
- SQL and SQL-like technologies – Impala, Hive, Spark, Presto
- API-based jobs – MapReduce, Spark, PIG, Latins, HBase
- ETL accessories – Oozie, Sqoop
- Infrastructure – Capacity, queues, and SKUs
/ operationalization
- AI-based capacity forecasting and optimization
- Automated migration of security – Ranger and Sentry policies, users
- AIOps-driven continuous observability
- Provisioning through Infrastructure as Code on Amazon EMR
- Performance optimization to meet target SLAs
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Automated workload transformation from Hadoop to Amazon EMR
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Explore resources to support your transformation initiatives
CASE STUDY 
Automated migration from Netezza to AWS for a Fortune 500 mortgage lender
CASE STUDY
Data platform modernization on AWS significantly reduces passenger wait time for a major US airline
WEBINAR
The fastest way to convert ETL, analytics, and data warehouse to AWS
