- Amazon Redshift
- AWS DMS
- HP-UX
- Linux
- Redshift Spectrum
- AWS Backup
- Python
- AIX
Enterprise Database Migration and Optimization to Amazon Redshift with Disaster Recovery
BI & Data Engineering
We provide high-performance data visualization, analytics, and engineering solutions to help companies make data-driven decisions, optimizing infrastructure with real-time processing and seamless integration.
Get startedWe provide architectural design services for data platforms, customizing them to meet your specific requirements. This adaptability ensures that the design can evolve to accommodate changing needs and emerging use cases.
We meticulously design the platform from both hardware and software viewpoints, considering the hardware’s performance capabilities and the software’s demands. The technological landscape is constantly evolving, with advancements in hardware, cloud services, and emerging technologies offering opportunities for enhanced performance and the emergence of novel use cases.
Services: Architectural design services for data platforms, customizable and adaptable to meet changing needs.
Our team of seasoned data engineers possess extensive expertise in the technologies commonly employed in cloud and on-premise data architectures.
We possess the capability to design a data architecture from inception or enhance an existing data platform by developing fundamental components, including data storage layers (data lakes and warehouses), data pipelining (ETL jobs or intricate batch processing of data), and analytical tools (BI tools and AI model deployment).
Services: Experienced data engineers design and enhance data platforms, including storage, pipelining, and analytical tools.
Businesses frequently gather data from various locations and technologies, such as on-premise relational databases, customer relationship management (CRM) tools, analytics tools, and object storage.
While this approach is adequate for operational tasks, integrating this data into a centralized platform is often necessary to develop advanced analytics tools and artificial intelligence (AI) models capable of extracting insights from these data. This integration enables the separation of analytical and operational workloads and facilitates the combination of data from diverse sources.
We collaborate with our partners to comprehend the nature of the data, formulate an integration strategy, and implement this integration either through a novel architecture or an existing one.
Different data types and varying use cases necessitate distinct storage technologies. For instance, structured data that demands a columnar format in a data warehouse, while unstructured data such as images, videos, and audio require a data lake for optimal storage.
We meticulously design the appropriate storage system with fast interconnects, ensuring efficient data access for analytics tools. This ensures the required performance and optimal data management.
Services: design storage systems with fast interconnects for efficient data access and optimal data management.
Data pipelines are utilized for ETL tasks and batch processing of data in analytics and machine learning workloads.
Well-designed data pipelines are efficient, reliable, and adaptable to monitoring and expansion as requirements change.
The term “big data” is loosely defined, but it becomes quite evident from the perspective of the challenge—handling large volumes of data necessitates different and far more intricate tools compared to small data.
At Outsoft, we have encountered various data types and have gained the expertise to recognize when employing a more complex toolset is justified and worth the additional investment in development and maintenance.
Furthermore, if you genuinely require such capabilities, we are here to assist you in making informed decisions and constructing a system that effectively addresses your specific challenges.
Our core offerings encompass dashboard development, data analysis, and customized Business Intelligence (BI) services. We meticulously select and implement the most appropriate BI tools, crafting dynamic dashboards and reports that transform your data into a potent asset. This empowers you to optimize your business operations through readily accessible and insightful information.
Key Services:
– BI Tool Selection and Implementation
– Customized Recommendation Engines
– Data Visualization
We provide architectural design services for data platforms, customizing them to meet your specific requirements. This adaptability ensures that the design can evolve to accommodate changing needs and emerging use cases.
We meticulously design the platform from both hardware and software viewpoints, considering the hardware’s performance capabilities and the software’s demands. The technological landscape is constantly evolving, with advancements in hardware, cloud services, and emerging technologies offering opportunities for enhanced performance and the emergence of novel use cases.
Services: Architectural design services for data platforms, customizable and adaptable to meet changing needs.
Our team of seasoned data engineers possess extensive expertise in the technologies commonly employed in cloud and on-premise data architectures.
We possess the capability to design a data architecture from inception or enhance an existing data platform by developing fundamental components, including data storage layers (data lakes and warehouses), data pipelining (ETL jobs or intricate batch processing of data), and analytical tools (BI tools and AI model deployment).
Services: Experienced data engineers design and enhance data platforms, including storage, pipelining, and analytical tools.
Businesses frequently gather data from various locations and technologies, such as on-premise relational databases, customer relationship management (CRM) tools, analytics tools, and object storage.
While this approach is adequate for operational tasks, integrating this data into a centralized platform is often necessary to develop advanced analytics tools and artificial intelligence (AI) models capable of extracting insights from these data. This integration enables the separation of analytical and operational workloads and facilitates the combination of data from diverse sources.
We collaborate with our partners to comprehend the nature of the data, formulate an integration strategy, and implement this integration either through a novel architecture or an existing one.
Different data types and varying use cases necessitate distinct storage technologies. For instance, structured data that demands a columnar format in a data warehouse, while unstructured data such as images, videos, and audio require a data lake for optimal storage.
We meticulously design the appropriate storage system with fast interconnects, ensuring efficient data access for analytics tools. This ensures the required performance and optimal data management.
Services: design storage systems with fast interconnects for efficient data access and optimal data management.
Data pipelines are utilized for ETL tasks and batch processing of data in analytics and machine learning workloads.
Well-designed data pipelines are efficient, reliable, and adaptable to monitoring and expansion as requirements change.
The term “big data” is loosely defined, but it becomes quite evident from the perspective of the challenge—handling large volumes of data necessitates different and far more intricate tools compared to small data.
At Outsoft, we have encountered various data types and have gained the expertise to recognize when employing a more complex toolset is justified and worth the additional investment in development and maintenance.
Furthermore, if you genuinely require such capabilities, we are here to assist you in making informed decisions and constructing a system that effectively addresses your specific challenges.
Our core offerings encompass dashboard development, data analysis, and customized Business Intelligence (BI) services. We meticulously select and implement the most appropriate BI tools, crafting dynamic dashboards and reports that transform your data into a potent asset. This empowers you to optimize your business operations through readily accessible and insightful information.
Key Services:
– BI Tool Selection and Implementation
– Customized Recommendation Engines
– Data Visualization
We’ve created over 5,000 reports and 600 dashboards, providing clear, actionable insights through tools like Metabase and Apache Superset.
Custom reports tailored to business objectives, helping teams make informed decisions.
Implementing BI platforms like Tableau and Power BI for comprehensive data analysis and visualization.
Continuous support and training for users to maximize BI capabilities.
Utilizing Apache Airflow, AWS Glue, and AWS Lambda for workflow automation and real-time ingestion, along with Python (including PySpark and Pandas) to streamline data ingestion from diverse sources.
Leveraging databases like PostgreSQL, OracleDB, OpenSearch, and MongoDB, while utilizing Amazon S3 and AWS Redshift for scalable, secure, and cost-effective data storage solutions.
We’re using a combination of PySpark, Pandas, AWS EMR, AWS Glue, and AWS Lambda to process massive datasets and deliver you real-time analytics across big data frameworks.
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
BI & Data Engineering
Our clients consistently praise our ability to deliver scalable and reliable BI solutions. Here’s what a few of them had to say:
Find answers to common questions about our Business Intelligence (BI) and Data Engineering services.
Our services are suitable for both small startups and large enterprises, with scalable solutions that fit your business growth.
We use advanced security protocols, including data encryption and secure access controls, to ensure the safety and compliance of your data.
Our tech stack includes Python (Pandas, SQLAlchemy), PySpark, Airflow, PostgreSQL, OracleDB, OpenSearch, and MongoDB, among others.
We specialize in creating detailed reports and interactive dashboards using Metabase and Apache Superset, tailored to your specific business metrics.
Leave a request, and our manager will contact you to discuss your project and provide an assessment tailored to your staffing needs.