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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. Its ability to apply masking dynamically at the source or during data retrieval ensures both high performance and minimal disruptions to operations.

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Can serverless fix fintech’s scaling problem?

CIO

Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses. Scalability. Architecture complexity.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Scalable data infrastructure As AI models become more complex, their computational requirements increase. Enterprises need infrastructure that can scale and provide the high performance required for intensive AI tasks, such as training and fine-tuning large language models. Planned innovations: Disaggregated storage architecture.

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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases. The topics covered include: Using Cassandra as if it were a Relational Database.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Solution overview The solution presented in this post uses batch inference in Amazon Bedrock to process many requests efficiently using the following solution architecture.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. Instead of performing line-by-line migrations, it analyzes and understands the business context of code, increasing efficiency.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

We will hear about specific use cases where organizations leveraged serverless refactoring, containerization or a combination of both solutions, that resulted in improved performance, availability, and scalability. How to make the right architectural choices given particular application patterns and risks.