Data Management

There are three core areas of focus within Data Management with members possessing a blend of Data Architecture, Engineering and Platform knowledge, with DevOps Culture underpinning all that we deliver for our customers.

The work that the Practice performs can be sub-divided into 4 main “Data Processing” capabilities: 

Data Ingestion – Extraction of data from varied sources to a common destination platform

Data Modelling – Articulating the relationships between entities at the conceptual, logical or physical level and choosing the best data model to suit the requirement

Data Transformation – Conversion of data from original format into a structure, quality and format optimal for analysis

Data Exploitation – Extracting business information from the data, normally via visualisation tools

Coding

We use various programming languages in our solutions at data processing, real-time data ingestion, developing front-end and back-end applications along with data tools and techs. 

We are experts on: 

  • Python
  • Anaconda
  • Django
  • C# .Net
  • Java
  • Scala
  • R
  • React
  • NodeJS

Data Modelling

We design relational database models for Web and Mobile applications with 3rd NF and BCNF. We also design data warehouse layered structure in 3rd NF, Star or Snowflake schema using Kimball Model ( Dimensional Model ) with Change Data Capture (CDC) and Slowly Change Dimension ( SCD ) types implementation using popular Data Modeller tools. In data warehousing architectural perspective, we may apply Enterprise Data Warehouse ( EDW ) or Data Vault approach in database design depending on the requirements and data sources.

We are experts on:

  • Erwin
  • SAP PowerDesigner
  • DBeaver

Databases

We use different type of databases in our solutions regarding nature of the requirements and decide how to store, process and retrieve of data in effective and efficient way.

Basically, we categorise databases in 3 classes. 

  • Relational Databases
  • No SQL Databases
  • Data Warehouse Databases
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Data Visualisation BI

We deliver comprehensive dashboards using the most recent and popular Data Visualisation tools We have extensive experience on how to present data for business users via BI tool and visualise data on dashboards in the best manner. 

We are experts on:

  • Tableau
  • Amazon QuickSight
  • Power BI
  • Grafana
  • Kibana
  • SAP BusinessObjects
  • Microsoft SQL Server Reporting Services ( SSRS )

DevOps

We effectively configure and execute the most recent and popular DevOps tools in our projects to reduce costs drastically using Continuous Improvement and Continues Delivery ( CI/CD ) methodologies. We use containerization approaches as a most efficient way to build servers and scale them up and down when needed. 

We are experts on:

  • Docker
  • Kubernetes
  • K3S
  • Amazon EKS ( Elastic Kubernetes Service )
  • Rancher
  • Terraform
  • Git
  • Jenkins
  • Ansible
  • GitHub
  • Azure DevOps
  • Jira