Success Case | Automated Data Analysis Environments and ML Pipeline
French multinational telecommunications corporation. It has 266 million customers worldwide.
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The Challenge
With a team of 200 data scientist and an on-prem Cloudera platform, the customer was struggling to create new data environments and keep costs in line.
The Solution
Keepler designed a Big Data platform to mirror the Cloudera capabilities with native services as S3 and EMR and migrated 250Tb of compressed data to cloud. Also automated the ML pipeline with DataLab environments that can be launched on-demand.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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