AWS Data Analytics Services
Store and analyze all of your data in the cloud to uncover valuable growth opportunities
Harness the Power of Your Data
Companies have access to more data than ever before, but many don’t know how to take full advantage. InfraNext equips engineering teams with the cloud infrastructure and tools they need to gather, store, and process data at scale, creating new sources of value along the way.
Achieve More With InfraNext and AWS
Deliver Better Offerings
Uncover valuable insights from your data and enhance your products and services accordingly to meet the unique needs of your customers.
Win New Business
Use big data to learn more about existing customers so that you can improve your sales efforts and grow your business.
Why Choose InfraNext as Your Data & Analytics Consulting Partner?
Comprehensive Suite of Data Services
InfraNext has earned the Data & Analytics Competency from AWS, validating our team’s ability to deliver real-world data analytics solutions through the cloud that drive positive results for clients. We offer a full range of data services, including analytics & data warehousing, data movement, data lakes, predictive analytics, machine learning, data cleaning, and data reconciliation.
In-depth Understanding of Modern Data Challenges
We understand what it takes to manage high volume, high variety, and high velocity data effectively. Our team has helped numerous businesses upgrade their data pipelines, repositories, and workflows to support disruptive applications and keep the data moving.
Our data analytics experts are experienced in AWS’s most common analytics services, including AWS Lake Formation, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, and more.
Common Data and Analytics Use Cases
Data Lakes & Warehouses
Build a data lake for collecting data, extracting insights from the data, and providing visualizations to share insights. Modernize, migrate, deploy, and operate Hadoop workloads, as well as transform data warehouse workloads.
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AI/ML
Use your data to train ML algorithms that enable personalized recommendation engines, predictive analytics, automation, and more. Modernize, migrate, deploy, and operate multi-tenant, multi-model enterprise ML systems.
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