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Storage & Warehousing
Redshift

Redshift

AWS's columnar warehouse for analytics in the Amazon ecosystem

https://aws.amazon.com/redshift

What It Is

Amazon 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.

How We Use It

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.

Our Expertise

  • Cluster Design

    We size Redshift clusters based on data volume, query complexity, and concurrency requirements. Node type selection (RA3 vs. DC2) and scaling strategies.

  • Distribution & Sort Keys

    We analyze JOIN patterns and filter predicates to select distribution keys that minimize data movement and sort keys that enable zone-map filtering.

  • WLM Configuration

    We configure Workload Management to prioritize query types: short interactive queries get fast lanes while heavy ETL jobs run with controlled resource allocation.

  • Spectrum & S3 Integration

    We design architectures combining Redshift with S3 via Redshift Spectrum for hot/cold data tiering.

  • Migration to Serverless

    We evaluate and plan migrations to Redshift Serverless for variable-demand use cases.

Use Cases

Typical Use Cases

1

AWS Analytics Platform

Centralized warehouse for AWS-native organizations.

2

Data Lake Architecture

Combining Redshift with S3 and Glue for a complete lakehouse.

3

Legacy Migration

Migrating from on-premise warehouses into the AWS ecosystem.

4

ML Integration

Warehouse data feeding SageMaker for ML workflows.

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