DIGITAL TRANSFORMATION

Data Engineering Solutions

Data that is accumulated over years can give us meaningful and surprising insights taking us towards informed decision making. Terralogic has expertise in pulling this data out and then transforming them in to structures from which analytics can be drawn upon. The data extraction and relationship modeling of this data towards the business questions that it needs to answer becomes the most important activity.

DATA EXTRACTION

Be it a database, flat files or APIs, extracting data from various sources of different clients and successfully bringing them to the data lakes for processing and Analytics is the first key Challenge in Data Engineering.

DATA CLEANUP

Data Cleanup is a vital activity in case of Data Engineering as removal of corrupted and inaccurate records is something which we take care to make the data from various sources meaningful and useful to build business solutions and predictions.

DATA MODELING

Building Data Models which sits on top of the data and build the relationships with the entities and propose a solution is key in Data Modelling

DATA TRANSFORMATION

Different Transformation techniques using various Big Data tools and technologies that gives us the required output for different solutions based on the business requirements.

DATA FLOW

Building Data Models which sits on top of the data and build the relationships with the entities and propose a solution is key in Data Modelling

DATA TRENDS

Different Transformation techniques using various Big Data tools and technologies that gives us the required output for different solutions based on the business requirements.

Case Studies

The list of services that we offer in Digital Transformation

DEVOPS AUTOMATION SERVICES

Devops Automation Services

Reengineering becomes bottleneck in agile environment which demands faster deployment cycles and time to market.

CLOUD DATA MIGRATION

Cloud Data Migration

Transfer your valuable data safely, cost effectively and with limited business disruption.