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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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Agentic AI design: An architectural case study

CIO

You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. These agents are already tuned to solve or perform specific tasks. Would you know that the user agent performs sentiment/text analysis?

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Why CIOs must lead the charge on ESG – and why enterprise architecture is the key

CIO

In an era marked by heightened environmental, social and governance (ESG) scrutiny and rapid artificial intelligence (AI) adoption, the integration of actionable sustainable principles in enterprise architecture (EA) is indispensable. For those working within or alongside EA, these concepts are well-established pillars of the discipline.

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Making your enterprise architecture framework work for you

CIO

More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).

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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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Modular architecture drives productivity and risk management at Gilbane

CIO

Targets for investment The team is investing in analytics and AI with large language mode experiments to help project teams find relevant information to perform well in their roles. “In Or as she puts it: “I walked into an architecture with a set of bespoke solutions that were selected based on whatever the need was at the time.

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Determining the best architecture for your CX platform

CIO

Without the right cloud architecture, enterprises can be crushed under a mass of operational disruption that impedes their digital transformation. What’s getting in the way of transformation journeys for enterprises? This isn’t a matter of demonstrating greater organizational resilience or patience.

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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.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability. Hold teams accountable using service level objectives (SLOs).

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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Your Team's Pragmatic Guide to Security

Speaker: Naresh Soni, CTO, Tsunami XR

Whether you need to rework your security architecture, improve performance, and/or deal with new threats, this webinar has you covered. What methods and architectures you should consider to proactively protect your data. We are excited to be joined by a CTO who is an expert in pragmatic choices around security.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. How Dremio delivers clear business advantages in productivity, security, and performance. What to consider when implementing a "no-copy" data strategy.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance.