Services

Data Engineering

A full set of data engineering services and solutions that optimize your analytics and data science

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

SGA is one of the pioneers in creating serverless data processes using cloud-based products. Such pipelines are tailor-made based on the business use case and the web service to be deployed.

  • 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

Data processes are developed in ‘Dockers’ to help customers deploy the processes readily into the clients’ production environment. This also helps customers in duplicating and deploying the process on multiple systems with ease.

  • 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

SGA conducts multiple sessions with clients to understand different business requirements, which helps in designing the production and development servers. It helps in training and deployment of new processes.

  • 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

Web server and on-premises server-based APIs are deployed to allow clients to use multiple processes with simple input values. These can be of a simple data extraction from a data lake or multiple data transformations or image/voice analysis on the input provided.

  • 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

With our data science solutions, you can discover and extract meaningful information from emails, online reviews, tweets, survey results, notes from feedback forums, and other types of written feedback. The extracted information helps generate insights about your customers and their perceptions of your products or services.

  • 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
Downloadable

Case Studies

Multi-source data engineering and reporting solution for a media firm

Performance measurement across linear TV networks of a media conglomerate