STRUCTURE. ORCHESTRATE. NAVIGATE.

Data
Engineering

Strategize in analyzing structured, semi-structured, and unstructured data using the right approach and tools in the shortest turnaround time.

Our 360-degree Data Engineering Services

With the growing data volumes, organizations seek a reliable, cost-effective data ecosystem to gain insights. Handling and manipulating these voluminous data is a hugely daunting task. Organizations can easily navigate through difficulties with the right set of tools and strategies. It is interesting to note that, every day, internet users create 2.5 quintillion bytes of data. Managing such enormous amounts of data is effortless with the right set of tools.

Undoubtedly, organizations are suffocated with too much data that is all over the place. As digital accelerators, we ensure the data is collected, organized, and orchestrated in the right way to reap maximum value from the data. We ensure the data and insights derived are transparent, reliable, and easily accessible.

Uncover hidden or unstructured data digital information
Achieve process transparency to reveal bottlenecks
Boost performance and foster digital transformation
Trusted and reliable data source
Improved decision-making strategies
Gain a competitive edge in the market

We make sure that the organization’s data needs are met end to end from ingesting data, provisioning, and modeling to testing, migration, and integration. Our expertise helps us strategize in analyzing structured, semi-structured, and unstructured data using the right approach and tools in the shortest turnaround time. Our data engineering services span the entire data lifecycle.

Data Engineering Key Components

1

Data Ingestion

As the first step of the data engineering process, we extract structured and unstructured data coming from various sources.Our hands-on expertise in cleansing and refining data and making it available to legacy databases and the cloud makes it easier for business users to explore and analyse.

2

Data Preparation

Our data preparation capability ensures your data is processed, transformed and loaded into the required data model for business reporting and advanced analytics. We design the pipeline based on business departments, namely finance, sales, supply, etc. to make sure the right kind of information reaches the right person.

3

Data Pipeline

As part of data pipeline services, we design, construct and implement independent data workflow to transport, transform and store data using various orchestration. We ensure that data is collected and structured at a single point, making it a trusted data source. Our expertise in the implementation of data pipelines extends to both on-prem and in the cloud.

4

Data Lake

Data lakes are the most comfortable and cost-effective data storage method that enables quick processing. Our expertise helps organizations in creating repositories to consolidate and organize their digital assets to foster analysis. This provision helps the organization in expanding its business data architecture.

5

Real-Time Processing

The collected and transformed data is now ready for processing and analysis. With our expertise in advanced analytical tools like AI/ML, we help businesses derive intelligent insights and augmented analytics. With this process, the organization is now fully capable of becoming a data-driven enterprise.