Amazon Web Services (AWS)

We will objectively recommend the best AWS technology for your requirements across your entire data stack.

Our deep expertise in the AWS analytics stack enables us to deliver tailored solutions that drive business outcomes. Whether you’re looking to build a data warehouse, implement machine learning models, or create real-time analytics pipelines, we have the skills and experience to help you succeed. Explore the power of AWS with us, and unlock the full potential of your data.

AWS Glue

AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load your data for analytics. It simplifies the process of data integration, allowing you to clean, enrich, and move data between various data stores and data streams.

Kinesis

AWS Kinesis is a platform for real-time data streaming, making it easy to collect, process, and analyze data as it flows through your system. Kinesis enables you to build real-time applications that continuously ingest and process vast amounts of data.

S3

AWS S3 is a scalable, secure, and durable object storage service that provides the foundation for many data analytics workloads on AWS. It offers a highly available storage solution for any type of data, ranging from structured and unstructured to binary objects.

AWS Databricks

AWS Databricks is an Apache Spark-based analytics platform optimized for the AWS cloud, enabling data engineering, data science, and machine learning at scale.

Athena

AWS Athena is an interactive query service that makes it easy to analyze data in S3 using standard SQL. Athena is serverless, meaning you only pay for the queries you run, making it a cost-effective solution for ad-hoc data analysis.

Redshift

AWS Redshift is a fully managed data warehouse service that allows you to analyze petabytes of structured and semi-structured data using SQL and business intelligence tools.

QuickSight

AWS QuickSight is a scalable, serverless business intelligence (BI) service that lets you easily create and publish interactive dashboards that include machine learning-powered insights.

AWS SageMaker

AWS SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

AWS Reference Architecture

We build and manage a modern data stack that aligns with your business objectives

We help you design and implement a modular and scalable data architecture that can evolve with your business, ensuring that each component can be easily swapped or upgraded as technologies advance.

Technology Evaluation

Well Architected Frameworks

Alignment with business outcomes

What they say

“We partnered with Qubit Analytics to overhaul our entire data platform and enable more robust data analytics capabilities. From the very beginning, their team demonstrated a deep understanding of our industry and the unique challenges we face. They designed and implemented a scalable data platform using Azure Synapse Analytics and Azure Data Factory, which allowed us to consolidate our disparate data sources into a unified system. The new platform has significantly improved our reporting and analytics capabilities, enabling us to make data-driven decisions with confidence. “

Adam Hall
Manager, Data and Analytics

Ready to unlock insights hidden in your data?

With our tailored data analytics consulting and advisory services, we guide you through every step of your data analytics journey. Let’s talk!