DATA INGESTION / ARCHITECTURE
Extraction of structured and unstructured data in batches or in real time, as well as data purification, so that data scientists and business users can explore and analyse it.
DATA STORAGE & ELT / ETL DATA
Extraction of raw data from sources, transforming it on a secondary processing server, and then inserting it into the target database. Inside the data warehouse itself, data cleansing, data enrichment, and data transformation all take place. Indefinite storage of raw data in the data warehouse enables several modifications.
DATA MODERNIZATION
A dynamic and efficient method for transferring data between legacy databases and contemporary systems.
DATA PIPELINES
Transferring data from one source to the next . Data is changed and optimised along the journey to get to the stage where it can be evaluated and used to generate business insights.
DATA CI/CD
A software development or engineering process known as a continuous integration/continuous delivery (CI/CD) pipeline combines automated code development, checking, and deployment. To securely deliver new and updated software.
REAL-TIME PROCESSING / ANALYTICS
Implementation experience with real-time and batch data processing systems in distributed systems based on various platforms
DATA WAREHOUSING
Data integration from multiple heterogeneous sources to support increase understanding, structured and/or ad hoc queries, and decision. Data warehousing entails data cleaning, integration, and consolidation.