Service Desk

Big Data Infrastructure

Launch big data analytics from scratch with expert support.

Scalable Data Architecture

We design flexible infrastructure tailored to your needs, defining the necessary computing and team resources to ensure reliable performance.

Data Lake, Lakehouse and ETL Implementation

We support the deployment of on-premise big data infrastructure or in the cloud. We configure ETL processes, data lakes and lakehouses, as well as environments for model training, SQL queries, and data visualization.

Infrastructure Support

We build an outsourced team or train your in-house staff to fully manage big data clusters.

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10 Years in Big Data Solutions

Enterprise-grade expertise: designing and launching predictive analytics platforms in complex IT environments, integrating with diverse data sources, and developing feature stores.

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End-to-End Delivery

Complete implementation and support of infrastructure projects: from architecture design to setting up machine learning for business analytics.

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Tailored Solutions

Selecting hardware and software based on specific tasks and your IT landscape.

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Custom Big Data Infrastructure Design

Designing scalable data infrastructure and calculating sizing for any platform: Hadoop, ClickHouse, Greenplum, and more.

Telecom Operator in Kazakhstan 60+

data sources integrated into the project

Telecom Operator in Kazakhstan 5000+

analytical jobs created for data transformation

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Big Data Infrastructure Design
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Deployment of Compute Resources and ETL
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Testing and Production Handoff

Big Data Infrastructure Design

We analyze performance and scalability requirements, define the optimal system topology, and plan long-term resource allocation for a scalable data infrastructure.

Deployment of Compute Resources and ETL

We set up servers and configure extraction, transformation, and loading (ETL) processes.

Testing and Production Handoff

We conduct load testing and fine-tune the system for real-world data volumes. Upon request, we assemble a dedicated outsourced team for ongoing infrastructure support.

Testimonials

Eastwind specialists helped recruit our data team and then conducted training on infrastructure setup and working with our big data analytics platform. Today, our team includes 4 data scientists, 5 data engineers, 3 developers, and experts from other departments—around 30 people in total. The team now independently develops and configures ETL procedures, performs data pre-analysis, predicts churn, and generates and tests hypotheses.