AMAZON REDSHIFT

Data Warehouse Cloud
  Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. As consulting partners, we accompany our clients to design and implement Data Warehouse solutions on Amazon Redshift.
Amazon Redshift documentation page
Data & Analytics Solutions
Data Lake

Instead of loading this data into Redshift, you can query it directly from S3 when you use the Redshift-included service Spectrum. This eliminates a fair part of the work involved in manually configuring the ETL. process

Analytics Agile

Connect with QuickSight for Business Intelligence analytics, or other BI tool.

Streaming Analytics

Use Kinesis Data Firehouse to capture, transform and load real-time streaming data directly into Redshift in near real-time.

ETL Pipelines

Instead of developing your own ETL pipeline for use with Redshift, you can use Amazon’s managed ETL service, AWS Glue, which runs these jobs in a serverless Apache Spark environment

Machine Learning

Use the power of Amazon SageMaker to build machine learning models by capturing data from Amazon Redshift..




Case Studies
Implementation in financial
industry
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Implementation in regional
retail company
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developed by Avilasoto