AWS Advanced Tier Consulting Partner
As an AWS partner, ProCogia fields an experienced and dedicated team of AWS certified experts who work with clients across multiple sectors. The ProCogia team supports organizations using this global platform that supercharges computing power and scalability, allowing businesses to move faster, reduce IT costs and continually improve their cloud platform.
As an AWS Advanced Consulting Partner, ProCogia helps SMBs and enterprises migrate to AWS. We deliver robust, scalable, and customized cloud-native solutions. With AWS-certified Subject Matter Experts (SMEs), we solve the most complex business problems by combining extensive industry experience and leading data engineering practices with the latest innovations in data science.
The introduction of AWS allows businesses to build sophisticated applications with increased flexibility and reliability using specific AWS services including EC2, EMR, Lambda functions, RDS Instances, Redshift, Kinesis, Glue, API Gateway, Cloud formation, Data lake formation and Transfer family SFTP.
These types of services provide solutions for:
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.
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.
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.
Development experience in training and deploying production-grade ML Models which utilize distributed computing for peak performance.
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
Machine Learning Engineering
Services used – S3, EMR, Apache Sedona
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.
ETL Monitoring Framework
Services used – S3, Glue, Postgres, Athena, Power BI
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.
AWS Real-time Data Lake
Services used – S3, MSK, Lambda, Athena, Glue
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.
Designing an AWS Framework for Analysts
Services used – S3, EMR, EMR Notebook, Glue, Athena, Power BI, EC2, Crontab-UI
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.
AWS SFTP Server Setup
Services used – S3, AWS Transfer Family
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.
ProCogia have a solid track record with AWS, RStudio & their data science work. They delivered the project for us in the following stages:
- Setup and installation of corporate-wide EC2-based cluster of RStudio instances
- Definition of architecture-reference for project-based work.
- Cybersecurity hardening and monitoring processes
MDRC – Chief Information Officer
ProCogia help us make vast network improvements. Their work on large data sets is very detailed and a good number of their prototypes have been implemented as well. ProCogia’s AWS engineering team have been instrumental in helping us manage, understand and store vast amounts of our network data.
T-Mobile – Senior Manager
ProCogia has delivered AWS solutions to the following clients:
“We take great pride in our ability to understand the needs of our clients and develop tailored, quality-assured, and cost-effective solutions that deliver exceptional value and outcomes.
ProCogia is proud to have built a successful Data Engineering practice through our investment in the AWS partnership program. We are excited to continue the journey with AWS and keep advancing our capabilities around building cloud-native technology solutions across various industries.”
Mehar Pratap Singh
CEO and Founder at ProCogia
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Addressing Your Organization’s Requirements
At ProCogia, we provide innovative solutions that are tailored to your requirements. As an established AWS partner, our experts can unlock the full potential of your data by delivering a secure, reliable, flexible, and scalable cloud-based approach to your applications.
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