{"id":5882,"date":"2025-11-21T14:30:27","date_gmt":"2025-11-21T17:30:27","guid":{"rendered":"https:\/\/wearebigcheese.com\/start-now-data-lake-genai-pack\/"},"modified":"2025-11-21T14:31:05","modified_gmt":"2025-11-21T17:31:05","slug":"start-now-data-lake-genai-pack","status":"publish","type":"page","link":"https:\/\/wearebigcheese.com\/en\/start-now-data-lake-genai-pack\/","title":{"rendered":"Start Now Data Lake + GenAI Pack"},"content":{"rendered":"\n

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services<\/h2>\n\n\n\n

Start Now Data Lake + GenAI Pack<\/h1>\n\n\n\n
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The AWS Data Lake + GenAI Pack<\/strong> is the fastest and safest way to start your cloud journey with BigCheese, AWS Premier Partner. In just 14 weeks<\/strong>, your company can have a modern, automated and searchable Data Lake in real time, powered by AWS GenAI<\/a> (Amazon Q) and optimizing costs. Access reliable information, discover patterns and turn complex questions into immediate answers. <\/p>\n\n\n\n

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Why choose BigCheese?<\/h2>\n<\/div>\n\n\n\n
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It is not enough to start a project: the important thing is to do it with the right partner<\/strong>. At BigCheese <\/g>we know that every decision in the cloud directly impacts your costs, your agility and your competitiveness. As an AWS Premier Partner<\/strong>, we offer you the experience, methodology and confidence you need to turn your Data Lake on AWS with Generative AI into a real driver of innovation and savings. <\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Certified experience:<\/strong><\/h3>\n\n\n\n

We are AWS Premier Partner and we have the Migration Competency<\/a> and multiple certifications that guarantee quality and best practices.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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100% certified equipment: <\/strong><\/h3>\n\n\n\n

Each BigCheese consultant is AWS certified, ensuring know-how<\/strong> and flawless execution<\/strong>.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Proven success stories:<\/strong><\/h3>\n\n\n\n

We have implemented Data Lakes and GenAI<\/strong> for companies in different sectors, always with measurable impact.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Financing for your PoC:<\/strong><\/h3>\n\n\n\n

We help you access AWS benefits and credits to finance your initial trial.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Proven methodology:<\/strong><\/h3>\n\n\n\n

We work with an agile framework<\/strong> that ensures visible results<\/strong> in a timely manner.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Local billing and nearby support:<\/strong><\/strong><\/h3>\n\n\n\n

Invoicing in your local currency and support adapted to tax regulations in your region.<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n

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Start your journey to the cloud with sure steps: immediate impact and a strategy that scales.<\/p>\n\n\n\n

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Data-GenAI-Escalability<\/p>\n\n\n\n

6 reasons for your business to adopt Start Now Data Lake + GenAI Pack<\/p>\n<\/div>\n<\/div>\n\n\n\n

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. <\/h2>\n\n\n\n
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Natural language responses with GenAI:<\/strong><\/h3>\n\n\n\n

Consult your data thanks to Amazon Q <\/a>and get immediate insights <\/strong>for day-to-day decisions.<\/p>\n<\/div>\n\n\n\n

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Automated pipelines (less manual tasks):<\/strong><\/h3>\n\n\n\n

Orchestrated ingest, transformation, cataloging and querying with native services (Glue, Kinesis, Glue Data Catalog, Athena). Less friction, more speed<\/strong>. <\/p>\n<\/div>\n\n\n\n

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Faster decisions with context:<\/strong><\/h3>\n\n\n\n

Up-to-date<\/strong>, queryable data<\/strong> in real time; dashboards with Amazon QuickSight<\/a> for business and product to see the “what” and “why” without bottlenecks.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Scalable and secure architecture on AWS:<\/strong><\/h3>\n\n\n\n

Modern Data Lake in S3 with zones (raw\/processed\/curated), governance and access with Lake Formation, tagging and IAM: designed for growth<\/strong>.<\/p>\n<\/div>\n\n\n\n

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GenAI and advanced analytics ready base:<\/strong><\/h3>\n\n\n\n

The value is not just in storage: it is in enabling <\/strong> AI <\/strong>(Q\/QuickSight Q) and analytics use <\/strong>cases that impact margin, efficiency and segmentation.<\/p>\n<\/div>\n\n\n\n

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Deliverables and transfer to operate at home:<\/strong><\/h3>\n\n\n\n

Deployed architecture, complete documentation, sample queries and closing workshop: you get autonomy to continue to extract value.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Business cases: Who needs this service?<\/h2>\n<\/div>\n\n\n\n
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Data Lake AWS + GenAI pack is designed for organizations looking to get real value out of their data, without waiting years to see results.<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Companies with scattered data:<\/strong><\/strong><\/h3>\n\n\n\n

When information is in multiple systems and there is no single point of access, an integrated Data Lake sorts and connects everything.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Businesses that need speed of decision making: <\/strong><\/strong><\/h3>\n\n\n\n

If your market changes fast, you need real-time insights. With GenAI you can consult them in seconds. <\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Teams saturated with operational tasks:<\/strong><\/strong><\/h3>\n\n\n\n

If your analytics team spends time preparing data instead of analyzing, automation frees up valuable hours.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Organizations that want to start with GenAI:<\/strong><\/strong><\/h3>\n\n\n\n

For those looking to take the first step in artificial intelligence applied to business, with visible results without costly developments.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Companies looking to scale: <\/strong><\/strong><\/h3>\n\n\n\n

A well-designed Data Lake is the foundation for future AI, machine learning and advanced analytics projects.<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n

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FAQS<\/h2>\n\n\n\n

Quick answers to your questions<\/h3>\n<\/div>\n\n\n\n
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What is a Data Lake and why do I need it? <\/strong><\/div><\/summary>
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It is a centralized repository that organizes and makes all your information accessible. It is the first step to take advantage of GenAI. <\/p>\n<\/div><\/details>\n\n\n\n

How long does implementation take?<\/strong><\/div><\/summary>
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The entire project lasts 14 weeks<\/strong> with visible results from the first phases.<\/p>\n<\/div><\/details>\n\n\n\n

Which AWS services are used?<\/strong><\/div><\/summary>
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Kinesis, Glue, S3, Athena, Lake Formation, QuickSight and Amazon Q for natural language queries.<\/p>\n<\/div><\/details>\n\n\n\n

Do I need to have previous technical knowledge?<\/strong><\/div><\/summary>
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No. The objective is that any user can consult the data without depending on the technical area. <\/p>\n<\/div><\/details>\n\n\n\n

Can it be integrated with my existing systems?<\/strong><\/div><\/summary>
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Yes. We evaluate your data sources and design a scalable and integrated architecture.<\/p>\n<\/div><\/details>\n\n\n\n

How does this pack differ from a traditional data project?<\/strong><\/div><\/summary>
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That in 14 weeks you have a working product, without waiting for long and expensive developments.<\/p>\n<\/div><\/details>\n\n\n\n

What if I am just starting with GenAI?<\/strong><\/div><\/summary>
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This pack is ideal as a first step, because it combines data organization with generative capabilities.<\/p>\n<\/div><\/details>\n\n\n\n

What is the cost?<\/strong><\/div><\/summary>
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The initial value is USD 12,800<\/strong> with a discounted price of USD 6,400<\/strong> for the PoC.<\/p>\n<\/div><\/details>\n\n\n\n

How can I be sure of the quality of service?<\/strong><\/div><\/summary>
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BigCheese is an AWS Premier Partner with 100% certified team and proven success stories.<\/p>\n<\/div><\/details>\n\n\n\n

What results can I expect?<\/strong><\/div><\/summary>
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A natural language searchable Data Lake, AI dashboards and the basis for scaling your data strategy.<\/p>\n<\/div><\/details>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n

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