Data Lake Consulting Services
Access to all corporate data in a single system.
A platform for analytics and AI modeling.
Storage scaling with cost and resource control.
for business intelligence succesfull implementation
What is a Data Lake?
A data lake is a centralized repository that allows you to store large amounts of data in their original form. Unlike relational databases or repositories, it does not require any pre-processing or data modeling. What you get when you order data lake services:
- Flexibility: You can store different types of data, such as log files, videos, and tables.
- Scalability: The storage architecture is optimized to handle petabytes of records.
- Fast access: Different specialists can work with datasets without delays.
- Access to the latest technologies: integration with machine learning analytical modules.
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Let’s schedule a 30-minute online consultation so you can receive a solution built around your business needs.
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The Benefits of Data Lake Consulting
Data lake companies get a flexible platform for scalable analytics, automation, and decision-making.
Centralized Storage, Simplified Access
Data lake tools and technologies cover everything a modern business needs — from reliable storage to services for data integration and processing, along with analytics solutions. A single platform allows teams to work together and executives to see the big picture without gaps between systems.
Actionable Insights, Faster Decisions
It’s important to identify which sources to combine to form accurate business scenarios, and to set up processes so that managers get operational metrics, analysts get insightful insights, and product development teams get behavioral models for optimization.
AI/ML Enablement
Data lake solution providers create the basis for machine learning from historical data, event streams, labels, and segments. This allows you to use analytical models for business predictions, personalized recommendations, and metric classification without additional technical setup, as well as integrate ML platforms such as Azure ML and SageMaker without unnecessary barriers.
Flexible and Cost-Effective Scalability
As one of the leading data lake consulting firms, we design architectures that align with the client's business logic. We provide scaling, storage policies, automatic archiving, and stable access to data. New sources are integrated quickly, and the system automatically separates current and archived data, optimizing costs.
Our Data Lake Consulting Services
End-to-End Data Lake
Deployment Solutions
Our services include data source audit, business process assessment, optimal architecture selection and implementation strategy formulation.Â
As a result, you get a vision of a coordinated infrastructure adapted to the specifics of your business, with the ability to scale, analyze and further develop the infrastructure. After agreeing on a technical solution, we provide implementation: ETL/ELT process setup, storage policy implementation, integration with BI systems, and technical support.
Advanced analytics
and ML
A data lake consultant helps formulate analytical queries, select relevant data sources, and determine the feasibility of using ML models. Based on agreed goals, we implement machine learning algorithms, configure real-time analytics, and provide visualization of results.
Secure and Scalable Cloud Data Migration Services
We offer secure and affordable cloud migration services. They are ideal for new businesses as they allow you to get reliable solutions without unnecessary costs.
With them, you can avoid the risk of losing or damaging sensitive information. Get our cloud data lakes consulting services to quickly move to a modern IT architecture.
Data Lake Strategy Consultation
Our enterprise data lake consulting services start with an analysis of the current infrastructure. Based on this, we form a step-by-step plan for the transition to storage.
Additionally, we select cloud solutions, taking into account the industry, legal requirements, and internal processes of the company. By working with us, you avoid unnecessary costs and optimize the use of resources. You get a system that works stably and scales with the growth of data volumes.
Intelligent Data Lake & Analytics
Modern solutions not only allow for the storage of large amounts of data, but also ensure their instant availability for analytical systems.
 It is important to involve data lake consultants even before the development begins — at the strategic planning stage. This helps avoid errors in the structure, ensures that the IT architecture meets business goals, and accelerates the launch of analytical modules. As a result, the company receives up-to-date data without delays, which is critical for rapid response to market changes and strategic planning.
Machine Learning Model Deployment
Scaling a business is impossible without automated solutions that reduce losses, increase margins, improve service, and retain customers.
Machine learning models help with these issues by generating personalized recommendations for strategic decisions. And data lake providers help prepare the appropriate technical base — agreeing on requirements, designing data architecture, recommending formats and sources, evaluating cloud resources, and developing information update strategies.
Why Choose Cobit Solutions for Data Lake Consulting
Our data lake consultants help implement solutions that deliver tangible results and address real business challenges.
Time and Cost Savings
Implementing new technologies typically requires significant resources and time, especially when a company is working with large amounts of data from multiple systems. We provide enterprise data lake consulting to help avoid common mistakes and unnecessary expenses. Thanks to a comprehensive approach, we reduce deployment timelines and optimize storage and processing costs.
Tailored for Your Needs
There is no one-size-fits-all solution for all businesses: some need fast, real-time analytics, others need scalability or integration with ML platforms. We create an architecture that meets the specific needs of the client, which is what sets us apart from other data lake firms. Each project is built with industry standards, data volume, and long-term goals in mind.
Governance-First Approach
Data security and quality are our top priorities. We implement access policies, cataloging, auditing, and backup mechanisms. This minimizes risks, ensures transparency in information management, and supports compliance with international standards. Companies gain full control over all processes, which increases trust in the system.
Cloud-Native and Scalable
Modern businesses require solutions that scale and adapt easily as data volumes grow. We offer proven cloud platforms that enable rapid storage integration with your existing services. This allows customers to start with a small pilot project and gradually expand capabilities. We provide full cloud data lake consulting to ensure system stability and efficiency at every stage of development.
GET A FREE CONSULTATION
Let’s schedule a 30-minute online consultation so you can receive a solution built around your business needs.
Or text us via Messenger
Client Engagement Approaches
We offer several options for interacting with our clients.
Time & Material
Payment is made for the time and resources spent.
This approach enables the engagement of specialists for individual tasks, allows for quick changes in priorities, the addition of new functional blocks, or the suspension of work if the project requires adjustments.
Fixed-price projects
The format is suitable when the requirements and scope of work are clearly defined at the start.
As part of data lake consulting for enterprises, we form a budget, set deadlines, and agree on readiness criteria. This provides a transparent plan and predictable results.
Staff Augmentation: Data Lake Specialist
You can leverage our data lake experts as part of your team. We provide competencies for specific tasks, from data integration and pipeline setup to analytics and security.
This allows you to close knowledge or resource gaps and continue working without project delays.
Fully Managed Data Lake Servises
We take on the full development cycle: architecture design, access configuration, migration, maintenance, monitoring, and platform development.
This allows you to establish a stable system and focus on data usage, thereby reducing costs for technical expertise and environmental support.
Technologies and Tools We Use
In most companies, data is already distributed across CRM, ERP, financial systems, and cloud services. Our experts help connect these sources with analytics, integration tools, and AI/ML platforms. We work with both enterprise systems (Oracle, SAP, Dynamics) and modern BI and OLAP solutions, providing end-to-end analytics and data quality control.
Analytics / BI:
Power BI, Azure Data Stack
ETL / Integration:
Azure Data Factory, SSIS
DWH / OLAP:
SSAS, data marts, DWH development based on SQL server
Competitive BI tools:
Tableau, MicroStrategy, Qlik Sense
Data sources:
ERP (Oracle, SAP, Dynamics), CRM, API, Excel, Google Sheets
Data Governance / Strategy:
strategic consulting on BI, architecture, data management
AI/ML:
use of historical data and event streams in forecasting models, integration with ML services (Azure ML, SageMaker, Vertex AI)
Databases / analytical logic:
Microsoft SQL, MySQL, MongoDB, DAX analysis
GET A FREE CONSULTATION
Let’s schedule a 30-minute online consultation so you can receive a solution built around your business needs.
Or text us via Messenger
Testimonials for Our Business Intelligence Services
Logistics
Self-Storage Facilities in 6 countries
We want to express our sincere appreciation for all the support you’ve provided… From tackling urgent challenges like data upload to creating the initial flash report and making progress on complex issues; your contributions have been invaluable.
Julia MacDonald
Group FP&A Manager
Retail
“HELEN MARLEN” fashion boutiques
«Now all my data is updated every day. I take a look from time to time, when I’m making my own report, whether the numbers coincide. Having made sure it’s alright, I just carry on with my life in peace»
Serhii Tupkalo
Board member, CFO at HELEN MARLEN L.P.
Restaurants
“Salateira” restaurants chain
“The project helps us quickly and remotely see the information available for the company all over the world, besides it is updated daily.”
Olena Vasylevska
Chief Financial Officer of the chain of restaurants "Salateira"
Data Lake Consulting Services FAQ
What are the cloud data lake platforms?
The most popular cloud platforms include:
- Amazon S3 (AWS Lake Formation) — flexible storage with analytics and ML integration.
- Azure Data Lake Storage — optimized for large data volumes, integrates with Power BI and Synapse.
- Google Cloud Storage — supports multi-format data, integrates with BigQuery.
What are the data lake challenges?
The main challenges are data quality, access control, security, and avoiding the data lake becoming a chaotic repository. It is also important to set up effective analytics and maintain structure as volumes grow.
Why hire a data lake consulting firm?
There are several reasons to turn to a data lake company:
- For the architectural design of the storage, with business goals in mind.
- To avoid common mistakes in structure, security, and scaling.
- For integration with BI, ML, and ETL processes.
- To train internal teams and build sustainable Data Governance.
How is data lake consulting different from data warehousing?
Data Lake consulting is strategic work with data that does not yet have a clear form but already holds potential for analytics, research, and machine learning. It is critical to understand what data should be stored, how to ensure its availability, and when it will become useful. Working with a Data Warehouse requires a different logic: optimizing already structured information — building reports, financial models, and management dashboards.
How do I choose the right data lake solution for my organization's needs?
To choose the optimal platform for data processing and storage, you first need to:
- assess the volume and types of data (need to work with streaming information, media files, logs, transactions, etc.);
- check compatibility with your CRM, ERP and BI systems;
- determine security and compliance requirements.
After that, you can decide on available cloud solutions. Get advice to quickly narrow down your options and avoid mistakes at the beginning.
How does a cloud data lake differ from an on-premises data lake?
Cloud services provide flexibility, rapid scalability, accessibility from anywhere, and reduced software and hardware costs. They are suitable for companies that want to start quickly, scale without capital expenditures, and use modern analytics tools.Â
Local solutions, on the contrary, provide full control over data due to their isolation. But they require significant investment in development. Therefore, they are more suitable for industries with increased requirements for security and confidentiality: financial, medical or government structures.