Unleash the power of
analytics through
modern data engineering

We enable modern data engineering through integration of various data sources, creation of hybrid data lakes and warehouses and fully operationalized data pipelines to support data driven innovations.
Data Engineering

At Sparity, we believe that data engineering is the enabler for data science. Data science consists of AL & ML models and experimentations. They can be developed only when we have a solid data infrastructure, which is possible through data engineering processes like collection, storage and transformation.

We can help you build this framework and use the power of data to reduce operational costs, discover new revenue sources and create new products. Our proven processes ensure all data, internal or external move from identification to storage without losing granularity and value.

Our approach

Data ingestion

Data Engineering

We study the different data sources – right from files and data bases to logs and images. At this stage, the objective is to ensure we don’t lose out on any critical information. We collect, aggregate and move all types of data to one central location.

Data transformation & processing

Data Engineering

We need to ensure that integrity of the data is maintained while achieving consistency. Data from different sources is transformed and aggregated in a way that it maintains a central data architecture.

Data storage

Data Engineering

All the data is now moved into data lakes and data warehouses using on premise or cloud or hybrid architecture.

Data Governance

Data Engineering

Effective Standards and Policies to monitor and control usage of data.

Our Offerings

Data Engineering

Consulting

 

 

  • Data Maturity Assessment
  • Data Consolidation Strategy
  • EDW Roadmap
  • Cloud Adoptions Strategy
Data Engineering

Design

  • Data Warehouse Architecture
  • Data Pipelines (SQL & No-SQL)
  • Data Lakes and Analytical Sand Boxes
  • Cloud Architecture(AWS, Azure,GCP..)
Data Engineering

Implementation

  • EDW Implementation and Maintenance
  • Cloud Migration
  • Maintain Data Pipelines for ML
  • Data Model Support/Update

Data Engineering Technologies we work with

cloud

Data Engineering

storage

Data Engineering

processing

Data Engineering

ETL

Data Engineering

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Clients Speak

When our first version was launched, it was an instant hit but soon we realised we needed a robust technology architecture to meet the customer demands. We spent numerous hours with Sparity team discussing the current limitations of our system and the long term vision. In 6 months time Sparity delivered an end - end solution from user centric design to a micr-services based architecture that is not only robust but also scalable and flexible.

Jeff Joslin

Co-founder & CEO, Bizooku

Sparity’s deep understanding of our business and their ability to help us turn our business vision and objectives into reality has made them a valued partner and an extension of our Information Technology Department. Whether working on support or new projects, Sparity always provides excellent customer service, quality development and exceptionally fast response. Their partnership provides Boxercraft with the flexibility to scale up or down as needed and provides access to a talent pool and skill level that we cannot achieve on our own. As our business changes, Sparity changes with us.

Kathy Wooten

Director - IT, Boxercraft

Sparity has been outstanding to work with and has been instrumental in getting us onboard Cloud taking care of our security posture on time and within budget. Their architects understand what we are trying to accomplish, why we are trying to accomplish it and go above and beyond to come up with creative ways to get to where we want to go.

John Smith

CIO