top of page

We Have Top-Notch Knowledge & Skills

Create a robust solution that brings all the pieces together and allows you to easily integrate with applications that allow you to harness the data you need and use it enhance your business processes. Combine the information you have with the information you need and harness the power a scalable data management can bring to your business.

Vision

Image by Matt Noble

Explore ideas to build the perfect solution.

Design

Image by Axel Ruffini

Build an infrastructure for future ideas.

Execution

Image by Pankaj Patel

Create scalable applications and quickly develop solutions for any business case.

Iteration

Image by Tim Johnson

Customize solutions to support rapid updates and business changes.

Vision

Image by Matt Noble

Automated Data Gathering: Develop an automated data gathering solution that allows you to easily access and collect data from multiple sources. This should include API integration with external systems as well as a way to collect data from internal sources.

Data Storage: Create a secure and scalable data storage solution that can store data in a variety of formats. This should include support for both structured and unstructured data.

Data Analysis: Develop an analytics solution that allows you to gain insights from your data. This should include a way to visualize your data, perform statistical analysis, and integrate with machine learning algorithms.

Data Security: Implement a comprehensive security solution that provides data protection and integrity. This should include encryption, access control, and two-factor authentication.

Data Sharing: Develop a secure data sharing solution that allows you to easily share data with external applications. This should include support for API integration and a way to securely transfer data between systems.

Integration: Create a comprehensive integration solution that allows you to easily integrate with external applications such as ERP, CRM, and other data systems.

Automation: Develop an automated workflow solution that allows you to easily automate tasks such as data collection, data processing, and data analysis. This should include support for scheduling and triggers to automate processes.

Design

Image by Axel Ruffini

Cloud Computing: Utilize cloud computing to create a secure and scalable infrastructure for your data management solution. This should include support for serverless computing, container technology, and distributed computing.

Data Platform: Develop a data platform that allows you to easily manage your data. This should include support for data wrangling, machine learning, and data visualization.

Data Pipelines: Create data pipelines that allow you to easily move data between systems. This should include support for streaming data, batch processing, and real-time processing.

Data APIs: Develop an API layer that allows you to easily access and integrate with external systems. This should include support for RESTful APIs, GraphQL, and OpenAPI.

Data Governance: Implement a data governance solution that allows you to easily manage data quality, security, and compliance. This should include support for versioning and audit trails.

Data Visualization: Develop a data visualization solution that allows you to easily visualize your data. This should include support for interactive dashboards and charts.

Monitoring: Implement a monitoring solution that allows you to easily monitor your data management solution. This should include support for system health checks and alert

Execution

Image by Pankaj Patel

Application Development: Utilize application development frameworks to quickly create and deploy scalable applications. This should include support for web applications, mobile applications, and desktop applications.

Application Integration: Develop an integration layer that allows you to easily integrate your applications with external systems. This should include support for API integration, messaging systems, and data synchronization.

Application Testing: Create automated testing solutions that allow you to quickly and easily test your applications. This should include support for unit tests, integration tests, and end-to-end tests.

Application Deployment: Develop a deployment solution that allows you to easily deploy your applications to the cloud. This should include support for containerization and serverless computing.

Application Performance: Implement performance monitoring tools that allow you to easily monitor the performance of your applications. This should include support for request tracing, error tracking, and performance metrics.

Application Security: Develop a secure application layer that allows you to protect your applications from malicious attacks. This should include support for authentication, authorization, and encryption.

Application Analytics: Create an analytics solution that allows you to easily analyze the usage and performance of your applications. This should include support for user analytics and usage metrics.

Iteration

Image by Tim Johnson

Automation: Utilize automation to quickly and easily update your applications and data management solutions. This should include support for automated testing, deployment, and updates.

A/B Testing: Develop an A/B testing solution that allows you to quickly and easily test changes to your applications and data management solutions.

Continuous Integration/Continuous Delivery (CI/CD): Create a CI/CD pipeline that allows you to quickly and easily deploy updates to your applications and data management solutions.

Infrastructure as Code (IaC): Develop an IaC solution that allows you to quickly and easily manage your infrastructure. This should include support for cloud infrastructure management.

DevOps: Implement a DevOps solution that allows you to quickly and easily manage your development and operations processes. This should include support for automated testing and deployment.

Monitoring: Create a monitoring solution that allows you to quickly and easily monitor your applications and data management solutions. This should include support for system health checks and alerting.

Analytics: Develop an analytics solution that allows you to quickly and easily analyze the performance of your applications and data management solutions. This should include support for usage metrics and anomaly detection

Big Data

Data Technology

Haress powerful information from your data. Explore ideas to build the perfect solution around robust technologies such as Spark, Hadoop, Kafka, Storm, Cassandra, ElasticSearch and Logstash Kibana.

Cloud

Software Programmer

Build an infrastructure for future ideas. Customize your data management solution by integrating your business needs with trusted systems like AWS, Azure, and Rackspace.

Architecture

Software Programmer

Create scalable applications and quickly develop solutions for any business case. Develop your ideas and see them come to live with a solution that will scale to meet any business challenge.

DevOps

Image by Mikhail Fesenko

Customize solutions to support rapid updates and business changes. Gain expertise in deployment and monitoring technologies like Chef, Vagrant, Docker, Ansible, Puppet.

bottom of page