DATA Engineering
Building the foundation for data-driven success
We are helping businesses realize the full potential of data by making sure right insights are extracted to aid business decisions. Our data experts are putting the right frameworks, tools and business know how to help businesses advance to the next level of data usage, data management and data automation. We want business to focus on critical decisions and we are here to back them up with the required "Data".
Our Approach
Understanding the existing landscape
Our data specialist carry out extensive workshops and discovery interviews to understand the current end to end landscape. This activity is then translated to initial technical assessment document.
Take stock of data sources
At this point, it's crucial to review existing data sources in order to enhance the value of the data. It's important to identify various data sources that can provide both structured and unstructured data.
In this phase, our specialists will prioritize and evaluate these sources.
Building the Data Lake
Data Lakes represent one of the most economical options for data storage. A data lake functions as a repository system that holds both raw and processed structured and unstructured data files. This system is capable of storing flat files, source files, transformed files, and raw data.
Data Lakes can be created or accessed through specific tools, including Hadoop, S3, GCS, or Azure Data Lake, whether on-premises or in the cloud.
Building and commissioning the data pipelines
Our experts now start building data pipelines for processing and ingesting the data . This is an important stage as majority of data transformation to generate useful and unified information happens here
Automation and Deployment
The subsequent step is crucial in data development consulting – DevOps. Our team formulates the ideal DevOps strategy for deploying and automating the data pipeline.
This strategy is vital as it significantly reduces the time invested and effectively manages the deployment of the pipeline.
Go Live
Testing, measuring, and learning are critical components in the final stage of the Data Engineering Consulting process.
This state is an iterative process which finally culminates into project go live