Your data architecture is facing unexpected growth. How can you scale efficiently without breaking the bank?
Facing unexpected growth in your data architecture can be both a blessing and a curse. On one hand, it's a sign of success as your business expands and collects more data. On the other hand, it presents challenges in scaling your systems efficiently without incurring exorbitant costs. Data architecture is the blueprint for managing data resources; it involves models, policies, rules, and standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. As your data grows, you must adapt your architecture to maintain performance, ensure reliability, and avoid skyrocketing expenses.
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Dipen PProblem Solver | Solution Architect | Team Lead
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Brett Goodlad??7 x LinkedIn Top Voice | Experienced Full-Stack Expert | Delivering digital solutions from Front to Back End |…
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Kirtan MankadSr. Data Engineer | Certified Data Scientist | MBA in Business Analytics | Unlocking Insights & Driving Innovation…