Rely on a ready-made data lake solution to easily store and categorize your raw data. Secure solutions ensure privacy, consistency, and excellent scalability.
Service
Transform data into business value
Receive better analytics at scale
Gather your data in one place with the structure you need and make analytical enterprise processing faster and more efficient. Use the best data lake solutions from Amazon or Azure to gain data consistency that boosts machine learning and predictive algorithms.
Reinforce security and optimize structure
Enterprise data lake solutions enable easier data masking, encryption, and monitoring to prevent unauthorized actions. This unified source collects all raw information in one place with a clean structure that only those with the right access can interact with.
Build better algorithms using big data and ML
Data lake solution providers create the perfect conditions for high-load tasks like big data manipulation, algorithm training, analytics for streaming, etc. It also optimizes the cost, allowing you to achieve more at a fraction of the budget, thanks to your provider and their resources.
Use cases we emprower
How a data lake solution benefits your departments
Custom data lake warehouse solutions affect your entire business, creating value across the spectrum. Here are the main areas where they deliver results:
Sales & Marketing
Get an in-depth understanding of market trends and customer needs through forecasting models, which becomes possible thanks to the likes of Azure data lake solution. Plentiful resources and efficient processing allow marketing departments to get better insights.
Operations
Gather data on your day-to-day workflow and analyze it to find architecture areas that can be improved. An analytical approach will uncover unique solutions to refine your operations and streamline them. A GCP data lake solution gives all the necessary groundwork for this and makes it easy.
Production & Manufacturing
Bring together data from various devices and warehouses to optimize your enterprise supply chain, consolidating varied file formats and sources. Relying on AWS data lake solution architecture, you can establish a single destination for all production and supply chain data.
Finance
Accumulate market analytics and process them for actionable insights, collecting new information in real time with instant sync to your data lake solution AWS. All data will be stored for easy access and categorized to reflect the department’s preferences.
Human Resources
Analyze viable candidates for hiring with automatic data scans, collect information on each employee’s performance over the years, and compile statistics based on this. Keep track of all human resource changes at the company and simplify hiring with an Oracle data lake solution.
Our data warehouse case studies
Market Insights Analytics Platform
This solution for data management was designed for the financial industry, boosting analytical results. It creates a single data lake solution architecture that connects multiple information streams and processes them. As a result, the software generates real-time and predictive insights for informed decision-making.
- Instant sync of market data for optimized trading
- One-screen compilation of all data streams and analytics
- In-depth market understanding with unique insights
- Raw data reformatting with simplified structuring
Community Building Platform
Another finance solution, intended to bring together multiple social spaces and communication channels. It establishes an architecture with a singular destination for knowledge sharing and building genuine connections, complete with special socialization-encouraging features.
- Instant data sync from other sources to create user profiles
- Easy expansion that accommodates all new users and allows for organic growth
- Gamified social aspects that promote achievements and community outreach
- Knowledge-sharing hubs that unite users akin to an AWS data lake solution
Hospital Data Management
Hubspring came to S-PRO with the request to bridge communication between hospital departments and patients. It also needed a solution to bring disparate data together in a data lake. S-PRO built a solution that enabled collaboration with secure messaging and integrated with hospital architecture to give doctors full control over data and its processing.
- Shared calendars and task management for easier collaborations
- Real-time data sync and analytics to improve decision-making
- Workflow automation to reduce administrative work
- Faster patient processing thanks to easy data access and sharing
Data Visualization Tool
Zymergen, a biotech company, wanted a custom solution that could efficiently visualize data from many trials and research projects. The goal was to make analytics easier and source insights that were otherwise inaccessible. S-PRO built a data management and visualization solution to make data collection, structuring, and processing more accessible.
- Interactive visualizations allow more in-depth analysis of research data
- Data can be annotated and shared to promote collaboration
- A data lake approach that centralizes data and stores it securely
- Faster path to scientific discoveries through efficient data analysis
1/6
1/12
Get expert consultation on data lake management
Reinvent your enterprise architecture with data lakes and data warehouse solutions, using our expertise to choose the optimal approach. Talk to our leadership and see a new future for your company.
Dmytro Voitekh
CTO
A master of AI and ML solutions, handling technical work and systematic research. Skilled at open-source data lake solutions and other enterprise data management options. The one who helps companies chart the course to success and find the right data lake provider.
Dustin Schulze
Senior Business Analyst
A growth-focused data management guru, who can lay out an in-depth data lake solutions comparison to highlight the optimal approach for you. Ready to build a comprehensive strategy that rejuvenates your regular workflow and brings results.
Dmytro Voitekh
CTO
A master of AI and ML solutions, handling technical work and systematic research. Skilled at open-source data lake solutions and other enterprise data management options. The one who helps companies chart the course to success and find the right data lake provider.
Dustin Schulze
Senior Business Analyst
A growth-focused data management guru, who can lay out an in-depth data lake solutions comparison to highlight the optimal approach for you. Ready to build a comprehensive strategy that rejuvenates your regular workflow and brings results.
1/2
Reinvent your enterprise architecture with data lakes and data warehouse solutions, using our expertise to choose the optimal approach. Talk to our leadership and see a new future for your company.
Sources
Pre-configured, ready-to-use data lake solutions
Databases
- Postgres
- Oracle
- MySQL
- BigQuery
- MongoDB
- Redis
Cloud storage
- AWS S3
- Google Cloud Storage
- Azure Blob Storage
SaaS apps
- ERP
- CRM (Salesforce, Shopify, Zendesk etc)
Analytics tools
- Tableau
- Looker
- Power BI
Big data solutions
- Hadoop
- Apache Spark
Messaging systems
- Kafka
- RabbitMQ
Technologies
Tools we use to strengthen a data lake solution
ELT platforms
- Airbyte
- Fivetran
- Stitch
Data warehouses
- Snowflake
- Google BigQuery
- Amazon Redshift
Transformation
- dbt (Data Build Tool)
Orchestration
- Apache Airflow
- Prefect
Monitoring
- Grafana
- Datadog
Freaquently Asked Questions
Is there a lot of difference between lake providers?
Aside from the obvious factors like cost, it’s important to consider that the provider can grant access to extra functions and features when you use their data lake services. For example, an Amazon data lake solution will also have other AWS benefits associated with it.
What is a data lakehouse?
Say, for example, that you’re using a Google data lake solution but want a bit more security and guarantees about data integrity. That’s where it might be smart to switch to a lakehouse architecture – a type of storage based on open standards, perfect for enterprise use. It makes all workloads independent of each other, even though they still operate on the same lake. As a result, it prevents bottlenecks and other issues.
How long does it take to move to a data lake architecture?
This depends entirely on the size of your enterprise, the number of data streams to accommodate, as well as the complexity of your current architecture. Migration to a SAP data lake solution is, of course, easier with a professional team helping you. If you need a full consultation, don’t hesitate to get in touch.
Get in touch
Ready to discuss your project?
Share your ideas, findings, and questions with us. We’re excited to extend our expertise to your project. After form submission, we’ll respond you within 24h.
- Drop us a line: hi@s-pro.io
- Contact us: +41 79 535 63 77
R&D centers
Zug, Switzerland (HQ)
Dammstrasse 16, 6300
Zurich, Switzerland
Hardturmstrasse 161, 8005
Lodz, Poland
Zachodnia 70, 90-403
Lviv, Ukraine
Heroiv UPA 71, 79000
Kyiv, Ukraine
Verkhnii Val St, 24, 04071
Business representatives
Salt Lake City, USA
Kiln SLC, 26 S Rio Grande St, UT 84101
Austin, USA
11801 Domain blvd., 3rd Fl, Austin, TX 78758
Amsterdam, Netherlands
Science Park 608, 1098 XH