We leverage best industry tools & software frameworks to store, process, analyze and visualize your data
AWS
Amazon Web Services (AWS) provides on-demand cloud computing platforms to individuals, companies and governments, on a metered pay-as-you-go basis.
Apache Spark
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Vertica
Vertica provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure
Apache Spark
Amazon EMR
Cloudera
Hadoop Map Reduce
Apache Airflow
Databricks
AWS Glue
Apache Hidi
Vertica
Amazon Redshift
MS SQL Server
Snowflake
Apache Impala
Postgre SQL
DynamoDB
Amazon Open Search
Amazon RDS
Tableau
D3 charts
Amazon QuickSight
Amazon S3
Amazon ECS
AWS Lambda
Amazon RDS
Redshift
Athena
Scala
Java
C#
TypeScript
Python
Angular JS /
Angular 2+
React JS
Ember.js
Take our short partnership survey and, together, we can develop the perfect solution to maximize the return on your investment in data.
Building an MVP Based on Open Data for Sales in Healthcare The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.
Enhance Operational Efficiency and Key System SLA Compliance by Improving Workflow Orchestration The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.
Delivery of a robust AWS SaaS platform from scratch in three runs Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.
Scalable subscription service to improve Patient Experience The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Self-Service Analytics for Healthcare Company Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
Generating Insights from Tableau Server Performance Data To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.
How to Build a Scalable Data Pipeline A product that can’t be changed tomorrow may turn out to be a wasted investment. That’s why a scalability is a leading tendency among business.
We’re open to discussing your ideas and look forward to bringing them to life
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