A poor maintenance strategy is one of the biggest problems plaguing the oil and gas industry.
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Did you know that data engineering and preparation tasks consume 80% of the time spent across all analytics projects?
With the volume of data growing exponentially every minute, data engineering services are in high demand.
Our expert Data Engineering team at LatentView Analytics helps organizations monetize and maximize the value of their data by taking a curated approach. We build a strong foundation of data and generate insights from data mining. Our goals are to tackle critical issues that prevent businesses from exploiting opportunities to scale and transform themselves into data-savvy competitors.
The key tasks in data engineering include:
Consult on Analytics Assessment and Roadmap Strategy
Design Data Lakes and Pipelines for Machine Learning solutions
Migration to Modern Architectures including Cloud Ops from legacy systems
Why LatentView for Data Engineering?
Business-focused approach to data engineering to align analytics and technology.
Scalable modern architectures
Workload-centric architectures to meet different needs of business stakeholders.
Proven experience in delivering analytics solutions to internet-scale companies using Hadoop and open source technologies, on-premise and on-cloud.
Data was migrated from legacy systems into a cloud-based data lake with extended periodic data refresh for the largest food distributor in the US. This reduced the cost of ownership and increased the throughput of cloud-hosted analytics solutions.
Knowledge shared is power multiplied! The process of sharing what we learn helps us reach out to data leaders who want to upgrade their operations and enthusiasts who seek to discover more.
We want to impart our expertise while creating healthy discussions on various online platforms like YouTube, LinkedIn, and Medium. We also aim to expand our horizons by conducting webinars and publishing blogs. Take a look at the impact that our knowledge sharing has created.