A full set of data engineering services and solutions that optimize your analytics and data science
Automation of Data Processes
Automation of Data Processes
Serverless Data Processes
Serverless Data Processes
Dockerising Data Processes
Dockerizing Data Processes
Hadoop/On-Premises
Hadoop/On-Premises
API Application
API Application
NLP and Text Analytics
NLP and Text Analytics
Data Engineering Consulting For Driving Data-DrivenTransformation
In this data-driven world, all modern technology platforms reinforce data-driven transformation. SGA’s big data engineering services enable your data strategy – ensuring access to the right data, at the right time, in the right format – to help your advanced analytics thrive.
Why SGA
Why SGA
What We Do
Automation of Data Processes
SGA provides data engineering consulting that enables its customers to convert existing processes into automated pipelines and creating new pipelines based on business requests. These automated pipelines vary from simple file transfer to complex data processing and modeling using multiple tools & technologies.
- Converting business process to logical steps for code development
- Developing parameterized codes for each individual step to help integrate in the pipeline
- As a part of our data engineering solutions, we use process management tools (Airflow/Terraform) to trigger them in sequence and keep QC steps based on the requirement
Serverless Data Processes
- Data engineering consulting that guides the client in selecting the services and cloud platforms based on requirement
- Developing functions (AWS-Lambda, Azure-Functions, GCP-Functions) for each step inside the cloud services
- Integrating each step by creating logical event-based triggers
- Time/Mail/Event-based trigger logic development to start the whole process based on client requirement
Dockerizing Data Processes
- Identifying the environment required to run the application
- Developing the docker environment by installing all the required packages and applications
- Creating the codes to run the required steps of the processes
- Deploying the container wherever required by creating the image on the required system
Hadoop/On-Premises
- Robust data engineering solutions help develop pipelines to extract data from multiple sources to a single system
- Logical flow process to integrate the different data sources by developing primary and foreign keys
- Creating single source table/views to provide cleaned and data analytics-ready data
API Application
- Parameterized codes to take user inputs and do the necessary steps
- Develop the server to run the codes and provide endpoints for user usage
- Permissions and authorization for each endpoint is developed for data security
NLP and Text Analytics
- Creating Mastered data sets through pipeline-driven ML engines and custom-built Data Stewardship interfaces
- Building pipelines in conjunction with AWS services such as Comprehend and Textract to create automated summaries on legal and business documents as a part of our big data engineering services
- Automated document tagging for Knowledge Management documents using NLTK-based workflows
