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.
to identify project milestones, timeline and cost
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
Data Lake Strategy Consultation
The service includes an audit of current data sources, analytical infrastructure, and integrations between systems. In the process, the team determines what data the business already uses, where silos of information arise, and which processes create unnecessary reporting burdens.
The consultation also covers the design of the Data Lake architecture, the choice of a storage model, data access rules, and a plan for integrating the new platform into the company’s current infrastructure.
End-to-End Data Lake Deployment Solutions
Our services include data source audit, business process assessment, optimal architecture selection, and implementation strategy formulation. 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.
Cloud Data Lake Migration
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 Governance and Security
The service covers the development of data management rules, access models, and security policies for the Data Lake. During the work, access levels to different data types, information storage rules, control of data transfer between systems, and requirements for the protection of confidential information are determined.
Change control, data structure, compliance with internal company policies, and regulatory requirements for working with corporate data are separately worked out.
Advanced Analytics and MLAdvanced Analytics and ML
Data Lake helps process large volumes of data from different business systems in one environment. Companies use these platforms for forecasting, operational analytics, anomaly detection, and working with rapidly changing data streams.
Order the service to prepare the architecture for ML models, integrate analytics platforms, and organize data processing for complex analytical scenarios. This simplifies the deployment of new analytical models and the handling of large-scale data flows.
Machine Learning Model Deployment
Data Lake infrastructure supports the integration of analytical models into reporting, operational systems, and automated workflows. Incoming data can be processed continuously, which allows analytical scenarios to work with updated information instead of static datasets.
Order the service to prepare the environment for ML deployment, connect business systems, and organize data processing for real-time analytical scenarios.
Why Choose Us as Your Data Lake Consulting Firm
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.
Work with a trusted data lake consulting team starting at $80/hour
Order data lake consulting services and receive a structured plan for designing, optimizing, or scaling your data lake architecture and data processing pipelines.
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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. Our technology stack:
- Analytics and BI — Build reporting systems and interactive dashboards with Power BI and the Microsoft Azure data stack.
- ETL and Integration — Automate synchronization and data movement processes with Azure Data Factory and SSIS.
- DWH and OLAP — Develop centralized warehouse environments with SSAS, SQL Server, and data marts for enterprise analytics.
- Competitive BI Tools — Tableau, MicroStrategy, and Qlik Sense can be connected for cross-platform analytics, executive reporting, and KPI monitoring.
- Data Sources — ERP platforms, CRM systems, APIs, spreadsheets, and cloud services are combined within one analytical environment.
- Data Governance and Strategy — The architecture includes data management rules, governance models, access structures, and long-term BI planning.
- AI and ML — Historical datasets and streaming information can be prepared for forecasting scenarios, anomaly detection, and ML integrations.
- Databases and Analytical Logic — Analytical environments are developed with Microsoft SQL Server, MySQL, MongoDB, and DAX-based business logic.
Need a scalable Data Lake environment for analytics and AI workloads? Cobit Solutions designs infrastructures that support distributed processing, cloud integrations, growing data flows, and long-term analytical operations.
Evaluate Your Current Data Lake Architecture
Request a technical review of your existing data lake environment. Our consultants analyze data pipelines, storage structures, and processing workflows to identify performance issues and opportunities for improvement.
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Client Testimonials for Our Data Lake Consulting Services
Manufacturing
Steelite International USA
“Cobit Solutions quickly understood the complexity of our environment and delivered strong results across a wide range of subject areas. They adapted fast, worked effectively under tight timeframes, and consistently provided high-quality technical and business input throughout the project. We now see them as a consistent and valuable partner in our ongoing data journey.”
Josh Rammel
Global Head of IT
Distribution & Wholesale
Site Landscape Development
“Second only to the Mona Lisa, it is the most beautiful work of art I’ve ever seen in my life… For real, it’s great. It’s exactly what we needed and we’re looking for. It’s good visualizing it that way. All is very good. This stuff’s awesome.”
Andrew Craft
President at Site Landscape Development
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.
HoReCa
“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"
IT companies
SPAN
“Certainly, the automation of business analysis will contribute to the flexibility and efficiency of making important decisions for the сompany while maintaining high standards of information security.”
Oleg Avilov
CEO at SPAN
IT companies
The App Solutions
“The work delivered by Cobit Solutions met all expectations and the team demonstrated their skill and expertise well. I highly recommend the services and look forward to future collaborations.”
Kateryna Ishchuk
Partnerships Director The App Solutions
Distribution & Wholesale
Frendt LLC
“Automation of business analysis helps us to see and control key metrics in real time, both of individual areas and of the entire business as a whole, which allows us to make timely and effective management decisions.”
Andrii Marchenko
Chief Information Officer of Frendt LLC
IT companies
Alpha Serve
“The developed perfectly looking BI templates allow our clients to quickly build their first report in Power BI and include the most relevant KPIs for reports.”
Anna Odrynska
Chief Strategy Officer at Alpha Serve
Healthcare
“Dobrobut” clinics chain
“Thanks to dashboards, we can also make a forecast of our financial indicators for a month, quarter or half a year and have the opportunity to compare the actual financial result with our predicted one – to understand the completeness of the reflection of expenses and income.”
Andrey Arbuzin
Deputy financial director
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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.
What does enterprise data lake consulting include?
Enterprise data lake consulting includes data architecture planning, integration strategy, storage structure design, and governance frameworks for large-scale data environments. The service also covers cloud infrastructure planning, analytics preparation, access management, and integration of business systems, reporting platforms, and external data sources.
How do cloud data lakes consulting services differ from on-premises?
Cloud services provide flexibility, rapid scalability, accessibility from anywhere, and reduced software and hardware costs. They are suitable for companies that want to get started quickly, scale without capital expenditures, and use modern analytics tools.
On-premises solutions, on the other hand, provide full control over data due to their isolation. However, they require significant investment in development. Therefore, they are more suitable for industries with increased security and confidentiality requirements: financial, medical, or government structures.
Why hire a data lake consulting firm?
There are several reasons to outsource to a data lake company:
- To architect the storage with business goals in mind.
To avoid advanced design, security, and scaling errors.
To integrate with business intelligence, machine learning, and ETL processes.
To train internal teams and build sustainable data governance.
What platforms do your data lake consultants work with?
Our data lake consultants work with cloud, hybrid, and enterprise data platforms used for large-scale storage, analytics, and distributed data processing. The technology stack is selected according to the existing infrastructure, integration requirements, security policies, and future analytical workloads.
The architecture may include ERP systems, CRM platforms, IoT data sources, external APIs, spreadsheets, and operational business systems that need to be combined within one analytical environment.