Cloud Analytics

Automated Data Analytics on Amazon Web Services (AWS) helps businesses break down data silos, increase cost-effectiveness, and unlock their data’s full potential. This ready-to-use solution, deployable in just a few clicks, enables unified data sharing, cross-team querying, and fine-grained data governance in a single interface.

Here to help.

We can help you harness the power of data analytics by providing seamless, cost-effective cloud solutions that enhance data integration, governance, and operational efficiency, driving innovation and business growth.

We can help you with…

The broadest and most cost-effective set of analytics services
to help you gain insights faster from all your data.

AWS Redshift

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.

Learn More about AWS Redshift

Amazon MSK

Capture streaming data using Amazon Managed Streaming for Apache Kafka (Amazon MSK), a massively scalable storage service capable of handling high data volume from data producers. A producer can be thousands of data sources, each generating streaming data continuously and which, typically, submit records simultaneously and in small sizes (kilobytes).

Learn More about Amazon MSK

Amazon Kinesis

The Streaming Data Solution for Amazon Kinesis comes with four deployment options and their accompanying AWS CloudFormation templates that are configured to apply best practices for streaming data, including data monitoring through dashboards and alarms, as well as data security.

Learn More about Amazon Kinesis

Data Lake on AWS

The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers Data Lake on AWS, which deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets.

Learn More about Data Lake on AWS

AWS Lake Formation

AWS Lake Formation centralizes permissions management of your data and makes it easier to share across your organization and externally.

Learn more about AWS Lake Formation 

Amazon Sagemaker

Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE). SageMaker supports governance requirements with simplified access control and transparency over your ML projects. In addition, you can build your own FMs, large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs

Learn More about Amazon Sagemaker

Data Mining

Data mining is a computer-assisted technique used in analytics to process and explore large data sets. With data mining tools and methods, organizations can discover hidden patterns and relationships in their data. Data mining transforms raw data into practical knowledge. Companies use this knowledge to solve problems, analyze the future impact of business decisions, and increase their profit margins.

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Lakehouse Architecture on AWS

As a modern data architecture, the Lake House approach is not just about integrating your data lake and your data warehouse, but it’s about connecting your data lake, your data warehouse, and all your other purpose-built services into a coherent whole. The data lake allows you to have a single place you can run analytics across most of your data while the purpose-built analytics services provide the speed you need for specific use cases like real-time dashboards and log analytics.

Learn More about the Lake House Approach

The full Story of
Cloud Analytics

At Aligned Technology Group, we believe in the transformative power of data. Leveraging the robust capabilities of Amazon Web Services (AWS), we break down data silos and enhance the cost-effectiveness of your data operations. Our journey with AWS began with a vision to empower businesses to unlock their data’s full potential through seamless integration and innovative cloud solutions.

With AWS’s Automated Data Analytics, we offer ready-to-use solutions that deploy in just a few clicks, enabling your organization to unify and share datasets, perform cross-team queries, and implement fine-grained data governance. Our expertise ensures that you benefit from reduced operational overhead and expanded capabilities through self-service analytics.

At Aligned Technology Group, we don’t just implement solutions; we partner with you to develop a comprehensive data strategy that boosts efficiency and supports innovation. Let us help you harness the power of cloud analytics to drive your business forward.

AWS Catalyst Program

Get more from your AWS investment through Aligned’s AWS Catalyst Program. By becoming a Catalyst Member, you have immediate access to a range of value-centric services designed to simplify your cloud operations, optimize your cloud spend and ensure both your cloud compliance and cloud security.

Managed Cloud Services

Driving increased value throughout your cloud journey.

Latest Resources

How AWS Marketplace Accelerates Business Growth

How AWS Marketplace Accelerates Business Growth

Are you ready to expedite your cloud migration journey? Discover how AWS MAP (Migration Acceleration Program) can streamline your transition with funding and expert support from Aligned Technology Group. Learn about the benefits of MAP Light and MAP 2.0, and how this win-win-win solution accelerates your path to the cloud, ensuring faster consumption and cost-effective migration. Dive into the details and see how we can help you achieve a seamless move to AWS.

Are You Ready for Gen AI in the Cloud?

Are You Ready for Gen AI in the Cloud?

How can your organization prepare for Gen AI? Gen AI, with its ability to generate human-like text, images, and even code, is poised to revolutionize various industries. However, to fully leverage its potential, it’s crucial to have a robust data architecture in...

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.

Cost Optimization

Issue: Small AWS deployment with little management oversight and a lack of cloud skills internal to the organization moving from traditional infrastructure to SaaS and cloud based solutions.

 

What we did

  1. AWS Audit
  2. Cost Optimization Review
  3. Ongoing Monitoring

 

Result:

  • Eliminated unused storage volumes and the old application server no longer in use, the charges for AWS resulted in a savings of 51% per month.
  • We’ll continue to monitor AWS billing and finance to ensure maintenance of savings and identify other future changes.