Data Engineering

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

Why Leverage Our Big Data EngineeringConsulting Services?

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

Creating a strong foundation
of data with commercial grade
solutions for large scale
data processing

Creating a strong foundation of data with commercial grade solutions for large scale data processing

Using fast cluster computing
technologies to monetize
and maximize value
data assets

Using fast cluster computing technologies to monetize and maximize value data assets

Why SGA

Rich exposure to a broad range of use cases across sectors globally

Creating a strong foundation
of data with commercial grade
solutions for large scale
data processing

Creating a strong foundation of data with commercial grade solutions for large scale data processing

Research findings augmented with analytical capabilities to generate sharper insights

Using fast cluster computing
technologies to monetize
and maximize the value
data assets

Using fast cluster computing technologies to monetize and maximize the value data assets

Unique perspective on working with tech companies and bringing ‘Product’ thinking

Creating a strong foundation
of data with commercial grade
solutions for large scale
data processing

Creating a strong foundation of data with commercial grade solutions for large scale data processing

Experienced consultants with deep sector expertise and rich experience

Using fast cluster computing
technologies to monetize
and maximize the value
data assets

Using fast cluster computing technologies to monetize and maximize the value data assets

Unique perspective on working with tech companies and bringing ‘Product’ thinking

Creating a strong foundation
of data with commercial grade
solutions for large scale
data processing

Creating a strong foundation of data with commercial grade solutions for large scale data processing

Experienced consultants with deep sector expertise and rich experience

Using fast cluster computing
technologies to monetize
and maximize the value
data assets

Using fast cluster computing technologies to monetize and maximize the value data assets

Unique perspective on working with tech companies and bringing ‘Product’ thinking

Creating a strong foundation
of data with commercial grade
solutions for large scale
data processing

Creating a strong foundation of data with commercial grade solutions for large scale data processing

Experienced consultants with deep sector expertise and rich experience

Using fast cluster computing
technologies to monetize
and maximize the value
data assets

Using fast cluster computing technologies to monetize and maximize the value data assets

What We Do

Automation of Data Processes

SG Analytics

SGA helps its customers in converting 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

SG Analytics

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

SG Analytics

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

SG Analytics

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

SG Analytics

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

SG 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