AWS's columnar warehouse for analytics in the Amazon ecosystem
https://aws.amazon.com/redshiftAmazon Redshift is a fully managed cloud data warehouse that uses columnar storage and massively parallel processing to deliver fast query performance on large datasets. Tightly integrated with the broader AWS ecosystem โ S3, Glue, Lambda, SageMaker, and QuickSight โ Redshift is the natural choice for organizations already invested in Amazon Web Services.
We build and optimize Redshift-based analytics platforms for AWS-native clients. Our work covers cluster architecture, distribution and sort key strategies, workload management configuration, and integration with S3 data lakes. We also help clients evaluate and migrate to Redshift Serverless for workloads with variable demand patterns.
We size Redshift clusters based on data volume, query complexity, and concurrency requirements. Node type selection (RA3 vs. DC2) and scaling strategies.
We analyze JOIN patterns and filter predicates to select distribution keys that minimize data movement and sort keys that enable zone-map filtering.
We configure Workload Management to prioritize query types: short interactive queries get fast lanes while heavy ETL jobs run with controlled resource allocation.
We design architectures combining Redshift with S3 via Redshift Spectrum for hot/cold data tiering.
We evaluate and plan migrations to Redshift Serverless for variable-demand use cases.
Centralized warehouse for AWS-native organizations.
Combining Redshift with S3 and Glue for a complete lakehouse.
Migrating from on-premise warehouses into the AWS ecosystem.
Warehouse data feeding SageMaker for ML workflows.
Join companies that trust iJKos & partners to build reliable data infrastructure and turn complexity into clear, confident decisions.