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.
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.
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.
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.
Benefits of Data Engineering service:
Making better decisions based on the powerful knowledge you gain from the data
Improving product quality and user experience by analyzing gathered data
Identifying new business opportunities by predicting behaviors based on historical data
Reducing costs and increasing profits by simplifying your data architecture
Reducing of project duration by speeding up the processes of accessing insights