AWS Partner
Our data solutions are powered by the following technologies
AWS Advanced Tier Consulting Partner
Cloud Data Migration
Managing the process of transferring enterprise data from an on-premise environment to the AWS Cloud. This includes moving data, workloads, IT resources, and applications in a timely and cost-efficient way.
Cost Optimizations
Applying cost optimization principles to design, configure, and maintain solutions in AWS Cloud. This ensures the effective use of services and resources to achieve business outcomes at the lowest price point.
Big Data & Analytics
The collection, storage, and implementation of big data solutions in AWS is supported by a range of powerful analytics services to automate data analysis, manipulate datasets, and derive deeper insights.
Data Lakes / Data Warehousing
Utilizing the scalability of AWS data lakes, we help customers achieve cost-effective, high-performance analytics with highly available data lakes and warehouses centralizing your data securely and with the ability to categorize and analyze it all in one, centralized repository.
Data Engineering & ETL
Our engineers help customers extract, transform and load massive datasets with the help of AWS services like Lambda and EMR.
Data Architecture
Our engineers architect highly scalable, secure, and cost-effective solutions for customers to store and analyze their data. This will help you to gain a better understanding of the data, enforce security and privacy.
ML Engineering
Development experience in training and deploying production-grade ML Models which utilize distributed computing for peak performance.
Containerization
Development experience in containerization of applications and deployment of containers into highly scalable clusters for peak performance. Offering durable, cost-effective options for backup, disaster recovery, and data archiving.
High Performance Computing
Development experience using optimized architectures along with cutting-edge distributed computing technology to achieve massive scale and speed with large data. Build and run applications and services without the need to manage servers.
Supporting Clients with ProCogia AWS Solutions
Creating Machine Learning (ML) models is one thing but once they are built and tested using sample data, running big data on the models requires a deeper level of training and understanding. We know that Python and Pandas provide a comprehensive set of scientific libraries that Data Scientists love to use. But when it comes to big data and ML, Data Scientists really need to scale those ML scripts to be able to manage terabytes of big data. We scaled the ML model and re-factored the script, generating 4000 times greater efficiency! This was achieved using AWS EMR and Apache Sedona. discover more ->
Building data pipelines is important but what is even more important is monitoring those ETL procedures or pipelines that are created to move data from one place to another. It is essential that common metrics – such as job status, duration, source count, target count, to name a few – are effectively captured to validate the data migration. This can be achieved using logs but neither EMR nor snowflake provide that level of logging. To address this challenge, ProCogia built custom audits to capture those metrics and created a monitoring dashboard using Power BI and Grafana. discover more ->
First, we used S3 to successfully stream and ingest large volumes of data flowing in real-time from mobile devices. Then services like Glue and Athena enabled the business to explore its data lake in near real-time. The data was initially handled on a transient landing with a 7-day data retention policy, which was the main challenge. We had to build another pipeline using Lambda to sync the transient landing and data lake, enabling it to execute within 15 minutes. discover more ->
We created an easy-to-use framework for analysts that they can use for developing, code management, scheduling, maintaining and deploying their jobs using AWS services. This has helped the analysts without them having to understand the complexity of EMR, EMR Notebook, Gitlab integration or Lambda for scheduling jobs. We used Crontab-UI and Glue to automate the entire process. discover more ->
It’s hard to manage multiple users if they are all accessing data from S3 buckets. We helped a client to address this management challenge by setting up AWS Transfer Family – SFTP server. Our solution not only simplifies their access to the S3 data but ensures the access can easily be managed on a long-term basis. discover more ->
Testimonials
“I am happy with ProCogia’s perfect project execution and flexibility so far. While the collaboration continues, I am impressed by the team’s deep understanding of RStudio and data science pipelines and workflows.”
MDRC
Chief Information Officer
“ProCogia’s work is very detailed, a good number of their prototypes have been implemented. They love working with the data. They understand the problem statement from the beginning.”
T-Mobile
Senior Manager
“ProCogia offered a flexible and transparent partnership. Their project management was very good, and the team delivered consistently.”
Microsoft
Director
“I am so pleased to have finally found a data partner that supplies high quality data science consultants consistently.”
Getty Images
Director
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