CIO
DECEMBER 20, 2024
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.
CIO
NOVEMBER 19, 2024
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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CIO
APRIL 16, 2025
Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).
CIO
APRIL 15, 2025
However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity. While centralizing data can improve performance and security, it can also lead to inefficiencies, increased costs and limitations on cloud mobility. Security is another key concern.
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.
CIO
JANUARY 14, 2025
In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.
CIO
NOVEMBER 19, 2024
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. As customers entrust us with their data, we see even more opportunities ahead to help them operationalize AI and high-performance workloads. Performance enhancements.
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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.
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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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.
Advertiser: Data Robot
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.
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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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.
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.
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