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Big Data Analytics

Big Data Analytics offers an endless source of business and informational insight that can help an organization to operational improvement and new opportunities for companies to provide unrealized revenue across almost every industry. In today’s scenario , the way we are generating data in terms of size it’s getting humongous and extracting information is also a tedious process . Considering these scenarios we have a team of experts in cloud  technologies . 

What We Do and How 


In big data analytics offering our engineering and having expertise in cloud systems like AWS , Google CLoud Platform and Azure  etc . We associates with organizations and help them in being updates and educated 

  1. Data Modernization services – Application modernization is the process of taking the structure of existing legacy software and modernizing the infrastructure so that it is up-to-date and can meet a business’s current needs.There are many different forms of application modernization including moving data off a legacy data center, moving data into the cloud, updating legacy applications, and refactoring monolithic applications into microservices.
  2. ETL and Integration – To build and schedule pipelines for recurring data transformation.From streamlining the flow of information, to making business intelligence available faster at scale along with safeguarding data and lowering cost of ownership, the data warehousing process has evolved massively. Data warehouse automation now plays a critical role in that pursuit. In order to automate planning, modeling, and integrating the data lifecycle, data warehouses are now using various ETL – extract, transform, and load – solutions that run on advanced design patterns and processes.
  3. Data Governance – Data governance is a collection of processes, roles, policies, standards, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals.
  4. Data Warehouse  – Data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

Our team has domain experience,skilled engineers and scientists who work on the latest technologies and deliver the requirements in an agile model .

Tech Stack like – 

Cloud and Platform – AWS , GCP , Azure , Digital Ocean , Docker etc .

Database: Oracle, MySql, Sql, Postgres, AWS Dynamodb, AWS Redshift

ETL : Talend, Airflow, Informatica ,  Power BI, Spotfire, Kafka

Agile Based Delivery

AitoBi’s ability to execute in the big data domain using agile methodologies is well-recognized in the industry. We process our work on agile based delivery and regular feedback . The Agile Delivery Model is an ever-evolving process that offers businesses greater flexibility and faster project delivery times.