We're all-in on AWS with deep experience across a broad set of data and analytics tools and platforms.
We collaborate with our clients in data and analytics use cases such as:
Design and execute data migration to support rapid business growth and supercharge product performance.
Optimize data analytics costs without sacrificing performance.
Begin the build phase of developing a machine learning model by creating a dataset ready to support machine learning.
Automate data prep and analytics.
Implement a data processing pipeline.
The data and analytics journey to empower actionable insights for your business typically begins with your data sources — ranging from structured (like your ERP, CRM, or business application data) to unstructured (like email, images, audio, or video). Before any analysis can be done, we use data profiling technology to discover and investigate any data quality issues.
Once the data is cleansed, it is ready for data pipelining to migrate, transform, and integrate it. We use AWS Glue, a fully managed service, to extract, transform, and load (ETL) your data.
Your data is stored and managed in an Amazon Simple Storage Service (Amazon S3) data lake so that information is easier to find, understand, and relay.
Then your data is ready for analytics. We use Amazon QuickSight to create and publish interactive dashboards that provide actionable insights.
We help our clients develop machine learning models using Amazon SageMaker to support AI and predictive analytics.
72% cost savings migrating off Cloudera to AWS
5x data throughput performance
1000x data replication speed
Improved data reliability and availability
Faster build of highly accurate training datasets
Rapid extract, transform, load (ETL) of data
Accelerated data analytics
Reduced data prep time
As a result of our collaboration with nClouds, we can offer our customers new insights and services. And, we can deliver analytics results faster and at a lower cost. All of this is important to CyberCube’s continued growth.”
nClouds brought deep expertise in designing and implementing big data infrastructure and helped (with) incorporating machine learning and AI for our recommender platform. Really appreciate their help at the very early stage of model development and getting our data ready for machine learning.”
We have a proven record of delivering comprehensive and successful data and analytics solutions for organizations in a range of industries, and of all sizes, from startups to enterprise.
We have more than a decade of experience managing and executing projects on AWS, for enterprises and startups.
The nClouds team has honed our data and analytics skills across a range of projects. What’s more, we’ve applied powerful automation techniques to speed data prep and analytics.
We’re a certified APN Premier Consulting Partner (the highest tier for APN Consulting Partners) with AWS DevOps Competency, AWS Migration Competency, AWS Managed Services Provider (MSP) Partner status, AWS Well-Architected Partner status, in addition to being an AWS Authorized Reseller.
We were impressed by nClouds’ approach and execution on this project. They truly partnered with us as an extension of our team, sharing our goals, focusing on our success, and applying their deep data migration experience and expertise.”
Many of our customers want to understand the advantage of migrating a data lake or data warehouse
nClouds helps an AI innovator achieve 72% AWS cost savings by replacing Cloudera with Amazon S3, AWS Glue, and Amazon Kinesis.
Innovative online travel service implements machine learning to offer personalized travel itineraries and drive business growth.
New energy SaaS vendor executes data migration for improved product performance, reliability, replication & availability on AWS.
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