Architecture Review
Are you wondering if your data platform is designed to be both sustainable and future-proof? Is your organization experiencing significant growth, and is the value delivered by the data platform stagnating? With our architecture assessment service, customized for Databricks and other data platforms, you get answers to these questions. This comprehensive review ensures that your data infrastructure is optimized, secure, and cost-effective.
Here we explore the Architecture Review who, why, what, and when.
Who is the Architecture Review for?
- If you use Databricks as your primary data platform and want to cut costs.
- If you are trying to optimize your current data infrastructure and solutions, even if you are not working with Databricks today.
- If you want to accelerate the value delivery of your data platform.
- If you are an investor looking to acquire or solely invest in a company with a strong value proposition based on Data and/or AI.
Why is an Architecture Review important?
- Optimize performance: Identify bottlenecks and present a plan to optimize performance.
- Improve security: Strengthen your platform’s security against data loss and breaches and ensure regulatory compliance.
- Improve cost effectiveness: Costs often get out of control over time. We help you get costs back under control and ensure that costs are in line with the value delivered.
- Future-proofing your data strategy: Align your infrastructure with industry best practices and ensure that your data platform can evolve as you execute your strategy.
What are the elements of a good Architecture Review?
Our Architecture Review covers several key areas:
Assessment of the architecture of your platform
Assessment of the architecture of your platform
- Assess the design, configuration, and performance of your data (bricks) platform.
- Identify improvements and areas of concern.
Security and compliance assessment
- Evaluate the security level of the platform.
- Ensure alignment with relevant regulations and industry standards.
Data quality and data protection
- Identify data quality risks and suggest improvements.
- Organizational readiness for data quality improvements.
- Assess whether data protection mechanisms are in place and recommend data protection mechanisms to be put in place.
Cost optimization analysis
- Identify cost-saving opportunities without sacrificing performance or reliability.
- Make recommendations for resource allocation and cost management.
Evaluating the delivery of value
- Assess the effectiveness of your data platform in generating business value.
- Offer strategies for improving data-driven decision-making.
When: is this the best time?
- Periodic reviews: Schedule regular reviews to ensure continuous optimization and alignment with industry best practices so that you remain confident in your investments and the quality delivered.
- Major platform changes: Conduct an assessment after major updates (such as mergers, launching a new strategy, reorganizations, ed.) or migrations to ensure seamless transitions and delivery of value.
- Compliance audits: Review in preparation for compliance audits to demonstrate compliance with regulatory requirements, so you know what you need to work on before the actual audit.
- For an investment: If you plan to invest in a company or a business unit, make sure that the money is well spent and that the data foundation can bear the additional burden that investment will bring.
RevoData's Architecture Review for data platforms such as Databricks provides invaluable insights for organizations looking to optimize their infrastructure, improve security, reduce costs and maximize value delivery. By conducting regular reviews and assessments, your company can stay ahead of the curve and unlock the full potential of your data platform.
Daan's Experience
"The insights of experts have proven to be very useful."
With the help of RevoData, our team has significantly improved its knowledge of Databricks; gaining valuable insights from experts has proven to be extremely useful in setting up our datastore for Platforms & Technologies.
