Modern Big Data processing platform for enterprise management

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Industry

Energy

Cooperation

2022 – ongoing

Techstack

Azure Cloud, 

Azure Synapse, 

Azure DLS,

Databricks,

PySpark,

Power BI

Country

USA

Priorities

  • Building a new technology platform to support enterprise decision support and
    governance solution.
  • Integration of all source systems.
  • Building a data warehouse to make it easier and faster to generate reports.
  • Building the platform on Azure Cloud.

How Idego helped

  • Selection of appropriate technologies, tools and data model, which are
    scalable, cheaper and modern.
  • Transformation/normalization of data (from raw to DB table schema structure).
  • Build frameworks for data processing based on Spark engine.
  • Help in setting up CI/CD processes and deployment automations and secured
    location.
  • Optimisation of built data processings.

Accomplished

  • Creation of a unified data platform for the client
  • Delivery of the proof of concept and the first release
  • Implementation of the second release, expansion of the existing model, and creation of new dashboards
  • Unification of data from different sources and improvement of data quality
  • Facilitation of data analysis for the client and better optimization of business processes

Deadline? Pffft!

  • First candidates in 3 days.
  • Finish recruiting process in 2 weeks.
  • Spend less on office space and administrative costs.
  • Guidance if you’re not technically qualified.
  • Pay only if you hire.
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Gibas