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Start Now Data Lake + GenAI Pack
The AWS Data Lake + GenAI Pack is the fastest and safest way to start your cloud journey with BigCheese, AWS Premier Partner. In just 14 weeks, your company can have a modern, automated and searchable Data Lake in real time, powered by AWS GenAI (Amazon Q) and optimizing costs. Access reliable information, discover patterns and turn complex questions into immediate answers.
Why choose BigCheese?
It is not enough to start a project: the important thing is to do it with the right partner. At
Certified experience:
We are AWS Premier Partner and we have the Migration Competency and multiple certifications that guarantee quality and best practices.
100% certified equipment:
Each BigCheese consultant is AWS certified, ensuring know-how and flawless execution.
Proven success stories:
We have implemented Data Lakes and GenAI for companies in different sectors, always with measurable impact.
Financing for your PoC:
We help you access AWS benefits and credits to finance your initial trial.
Proven methodology:
We work with an agile framework that ensures visible results in a timely manner.
Local billing and nearby support:
Invoicing in your local currency and support adapted to tax regulations in your region.
Start your journey to the cloud with sure steps: immediate impact and a strategy that scales.
Data-GenAI-Escalability
6 reasons for your business to adopt Start Now Data Lake + GenAI Pack
Start with impact and scale with confidence. Data Lake AWS + GenAI pack turns your sparse data into actionable answers, with a technical foundation ready to grow in AI.
Natural language responses with GenAI:
Consult your data thanks to Amazon Q and get immediate insights for day-to-day decisions.
Automated pipelines (less manual tasks):
Orchestrated ingest, transformation, cataloging and querying with native services (Glue, Kinesis, Glue Data Catalog, Athena). Less friction, more speed.
Faster decisions with context:
Up-to-date, queryable data in real time; dashboards with Amazon QuickSight for business and product to see the “what” and “why” without bottlenecks.
Scalable and secure architecture on AWS:
Modern Data Lake in S3 with zones (raw/processed/curated), governance and access with Lake Formation, tagging and IAM: designed for growth.
GenAI and advanced analytics ready base:
The value is not just in storage: it is in enabling AI (Q/QuickSight Q) and analytics use cases that impact margin, efficiency and segmentation.
Deliverables and transfer to operate at home:
Deployed architecture, complete documentation, sample queries and closing workshop: you get autonomy to continue to extract value.
Business cases: Who needs this service?
Data Lake AWS + GenAI pack is designed for organizations looking to get real value out of their data, without waiting years to see results.
Companies with scattered data:
When information is in multiple systems and there is no single point of access, an integrated Data Lake sorts and connects everything.
Businesses that need speed of decision making:
If your market changes fast, you need real-time insights. With GenAI you can consult them in seconds.
Teams saturated with operational tasks:
If your analytics team spends time preparing data instead of analyzing, automation frees up valuable hours.
Organizations that want to start with GenAI:
For those looking to take the first step in artificial intelligence applied to business, with visible results without costly developments.
Companies looking to scale:
A well-designed Data Lake is the foundation for future AI, machine learning and advanced analytics projects.
FAQS
Quick answers to your questions
What is a Data Lake and why do I need it?
It is a centralized repository that organizes and makes all your information accessible. It is the first step to take advantage of GenAI.
How long does implementation take?
The entire project lasts 14 weeks with visible results from the first phases.
Which AWS services are used?
Kinesis, Glue, S3, Athena, Lake Formation, QuickSight and Amazon Q for natural language queries.
Do I need to have previous technical knowledge?
No. The objective is that any user can consult the data without depending on the technical area.
Can it be integrated with my existing systems?
Yes. We evaluate your data sources and design a scalable and integrated architecture.
How does this pack differ from a traditional data project?
That in 14 weeks you have a working product, without waiting for long and expensive developments.
What if I am just starting with GenAI?
This pack is ideal as a first step, because it combines data organization with generative capabilities.
What is the cost?
The initial value is USD 12,800 with a discounted price of USD 6,400 for the PoC.
How can I be sure of the quality of service?
BigCheese is an AWS Premier Partner with 100% certified team and proven success stories.
What results can I expect?
A natural language searchable Data Lake, AI dashboards and the basis for scaling your data strategy.
Customers
They trust us
