Data Lake Architecture & Migration

Architecting scalable data lakes and seamless cross-region / cloud data lake migrations.

We build and migrate Hadoop and AWS-based data lakes across regions or hybrid environments with zero data loss, enabling concurrent refresh architecture for faster analytics.

Typical fits

Enterprises managing massive volumes of structured and un-structured data

Organizations migrating on-premises Hadoop clusters to cloud-native S3 data lakes

Multi-region operations needing localized low-latency data access

Businesses seeking 50% throughput improvements via concurrent refresh workflows

How we deliver

01
Data lake layout design using open columnar formats (Parquet, ORC)
02
On-premise (Hadoop/Hive) to cloud-native (AWS S3/Glue) migration mapping
03
Cross-region data replication and bandwidth-optimized transfer pipelines
04
Implementing concurrent refresh architecture for continuous dataset updates
05
Governance, fine-grained access control, and metadata cataloging via Lake Formation

Stack

HadoopApache HiveAWS S3AWS GlueAWS Lake FormationPySparkEMR

See this in production: case studies

Need Data Lake Architecture & Migration?

Contact Engineering Team