Data Engineering

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Critical product design and development require skilled engineering teams that can clearly understand the requirements and bring up a perfect blueprint. Leverage data warehouse, ETL technologies to optimize the performance of your environment. Manage real-time data processing, offline data processing methods, and implementation of large-scale machine learning.

Sub Expertise

Data Pipeline Building

Unleash the potential of real-time and streaming analytics by leveraging the power of serverless and machine learning.
A real-time big data integration generates native code that can run in your cloud, hybrid, or multi-cloud environment.

Cloud Enablement

We ate Xeroeta do the cloud process by creating, deploying, and operating a few or all of the organization's software, Its infrastructure, and resources through the public, private, or hybrid cloud environment.
For the cloud environment, We have expertise in AWS, Azure, GCP, and on-premises cloud.

Data Migration and Consolidation

Data migration is the process of selecting, preparing, extracting, and transforming data from one storage to another storage. Where consolidation is the process of collecting and integrating data from multiple sources into one single destination.
We at Xeroeta provide tools like on-premise, open-source, or Cloud-based ETL e.g, Apache, Microsoft SQL, AWS, Azure, GCP.