When to consider
AWS Data Lake Services?
Unlock maximum business value in a data-driven culture by implementing an AWS Data Lake. Use a reliable, scalable approach to collect and manage large volumes of data.
Combined with deep data expertise and modern governance practices, this ensures your data is ready for informed, data-driven decisions.
Why Implement an AWS Data Lake?
Optimal Cost
Flexibility
Take advantage of unlimited scaling and storage through enhanced features and optimization sources.
Intelligently and dynamically adjust the storage class of specific data files to significantly lower storage costs. This automated optimization ensures you maintain performance while maximizing cost efficiency.
AWS offers a wide range of services that simplify the process of ingesting data into your data lake. These services support real-time, batch, and streaming data, making it easy to handle diverse data sources efficiently.
Utilize AWS’s built-in security features to ensure compliance with regulatory and legal requirements.
Enhanced Security
AWS enables a broader range of users across your organization to access and extract valuable business insights from the data lake. This increased accessibility empowers teams to make data-driven decisions more effectively.
Democratized Data
Queries on both raw and curated data can be executed quickly, enabling faster time to insights. This streamlined access to data supports real-time analytics and more informed decision-making across the organization.
Easy Access to Data
Unlimited Scalability
Learn more about
AWS Data Lakes
AWS Data Lake Implementation
1.
Assess
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Identify key stakeholders.
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Hold exploratory workshops to understand the organization’s data strategy and long-term objectives.
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Develop a comprehensive catalog of requirements for the data lake.
2.
Design and Plan
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Develop a high-level solution design that integrates seamlessly with your existing environment and accounts for potential future cloud migrations.
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Create a comprehensive end-to-end implementation plan outlining scope, timelines, milestones, and deliverables.
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Establish data ingestion strategies for all relevant sources.
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If you're planning to expand your cloud initiatives beyond the data lake, we can also assist in building a tailored roadmap.
3.
Implement
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If you're starting your first cloud project, our team will set up the required cloud infrastructure and security measures.
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We'll implement data pipelines to ingest data from identified sources and transform raw data into a standardized, efficient format to optimize costs.
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Additionally, we’ll configure CI/CD pipelines to automate testing and deployment for smoother, faster delivery.
4.
Handover and Training
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Provide comprehensive technical documentation to support your team in managing the data lake.
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Conduct knowledge transfer and training sessions to ensure both technical and business users are fully familiar with the implemented data lake solution.