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Data Engineering

Data Engineering

Scalable Data Pipelines

Building and managing proper pipelines is a core building block for any data-driven organization. Data pipelines allow data to get from multiple points to a designated data storage point. Setting up proper scalable data pipelines — appropriate the particular organization — ensures proper security, ease of access and the ability to extract maximum value from the data. Starschema’s implementation expertise and continued data pipeline management support extends and enhances the data-driven capabilities of any organization.

Data Engineering

Data Lakes

Data lakes give an organization the unique ability to harness more data from more sources in less time. This can take place in real-time or not. The data is collected into one centralized location and done at low cost. We build data products on top of the data lakes to analyze the data in distinct ways, gain insights and create value out of the data your organization generates and imports. Our custom services establish governance, semantic consistency and access controls to these data lakes and turn the data lakes into a full enterprise grade solution.

Data Engineering

Cloud Analytics

Deploying analytics at scale doesn’t have to cost a fortune. Modern cloud analytics unlocks full enterprise grade capability — both quickly and cost efficiently. Cloud Analytics can be used by organizations big and small and can easily and economically scale up existing analytics operations. Starschema helps customers get started with Cloud Analytics and optimize existing deployments. We stay current on the latest advances and technologies, so our customers get the most value from Cloud Analytics.


Talend - is a entry of Starschema Ltd.
Microsoft - is a entry of Starschema Ltd.
Snowflake - is a entry of Starschema Ltd.
Alteryx - is a entry of Starschema Ltd.
HVR - is a entry of Starschema Ltd.
Oracle - is a entry of Starschema Ltd.
Microsoft Azure - is a entry of Starschema Ltd.
PostgreSQL - is a entry of Starschema Ltd.

Ask the Expert

Norbert Ledényi

BI Developer Team Lead

Norbert has over 10 years of experience delivering cutting edge technology solutions for Fortune 500 companies as a data engineer, tech lead, project manager and, most recently, BI developer team lead. His main areas of interest are AWS-based cloud architectures, data lakes and data warehouses.

Ledényi Norbert 5222
Streamlined Enterprise Accounting with a Data as a Service Framework

A Fortune 50 conglomerate was not satisfied with its ability to serve internal customers’ data needs and track the costs associated with data requests. To achieve improved data access, as well as transparency and accuracy in intra-conglomerate financial affairs, they needed a flexible, metadata-driven solution.

Consolidating ERP and BI Systems for International Logistics

Rising parcel quantities and the international coordination of deliveries placed considerable demands on the fragmented ERP and BI systems of Hungary's leading delivery service provider. To ensure the necessary insights for decision-makers, our client turned to Starschema to create a unified operational framework that would ensure the rapid, uninterrupted flow and reportability of business-critical information.

Better BI Decisions through Automated Reporting

To meet the demands of a rapidly evolving tobacco market, our client wanted to improve their reporting process for more accurate and timely insights. Their existing reports required a lot of manual work to prepare, and their quality regularly fell short of management’s expectations. To ensure that their BI environment would better serve the decision-making process, they reached out to Starschema for consulting services.