Data Engineering Services
Data engineering is a foundational element for modern businesses.
Businesses are increasingly adopting new services on the cloud. because it becomes difficult to manage these, there’s a dire need for tools that not only manage costs but also enhance performance. Through an efficient cloud analysis , wastage tracking, resource checklists and cloud management platform, achieving cost optimization becomes seamless. In today’s scenario of growing AWS costs, it’s imperative that organizations have cost optimization solutions at hand, especially in cloud management.
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Data Engineering As A Service
Legacy and SQL
We can transition data from legacy systems into modern systems. We are adept in SQL; even if legacy systems don’t use RDMS databases, modern systems still often use SQL interfaces.
Big Data
Huge volumes of data has to be coupled with quality system architecture and well-planned use strategies. We can engage your business with the power of big data strategies that drive value and ROI.
Data Lakes
Data lakes are centralised pools of data. We can streamline the ingestion of data into data lakes for piping downstream to applications and other endpoints.
Pipelines
We construct both ETL pipelines to move and transform data from system to database and ELT pipelines that transform data at its destination. Data can be moved and transformed via either batch processing techniques or real-time streaming.
Machine Learning
We can construct data systems that pipe data into machine learning applications.
Modelling
We can use your existing data and newly collected data to construct foundational predictive models that can be actioned across your products and services.
Let’s Talk About Your Needs.
Please fill the form to get in touch with us.
