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The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. A reference architecture provides the full-stack hardware and software recommendations. However, there is another advantage, and that has to do with scale.
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.
AI and, most recently, generative AI (genAI) have uncovered the true power of automating tasks that previously were tedious to complete or difficult to improve the efficiency of the work within a singular domain of the business. But much more importantly, genAI has also started to drive new levels of business value as it cuts […]
To succeed, Operational AI requires a modern data architecture. These advanced architectures offer the flexibility and visibility needed to simplify data access across the organization, break down silos, and make data more understandable and actionable.
Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures. Holding onto old BI technology while everything else moves forward is holding back organizations.
Todays enterprise architecture (EA) practices are critical to enable a firms customer-obsessed digital transformations. As more traditional EA practices become commoditized, Enterprise Architecture Management Suite (EAMS) vendors that show strong use cases to support real transformations will emerge as market leaders.
Enterprise architecture (EA) has evolved beyond governance and documentation. Common pitfalls without Operational EA Many organizations stop at Foundational EA, treating architecture as a passive support function rather than an enabler of execution. Ensure architecture insights drive business strategy. The result?
He brings more than 30 years of experience across some of the largest enterprise customers, helping them understand and utilize AI ranging from initial concepts to specific application architectures, design, development and delivery. This article was made possible by our partnership with the IASA Chief Architect Forum.
In the Forresters report in May 2024 we predicted that M&A activity would continue to change and disrupt the Enterprise Architecture Management Suites (EAMS) market.
To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
What does excellence in enterprise architecture look like? Learn more about the enterprise architecture strategy that won Contact Energy, a New Zealand electricity generator and retailer, this year’s EA Award for the APAC region.
To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.
The tool employs an agent-based approach with a zero-trust architecture, making it particularly suitable for organizations with segmented networks and strict security requirements. Beevers noted that NetBoxDiscovery uses an agent-based architecture, which has advantages over discovery solutions that are monolithic.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases.
The architecture we unveiled today uses only liquid cooling, yielding greater energy and cost efficiency advantages than the alternative hybrid cooling solutions on the market,” said Antonio Neri, president and CEO of HPE, in a statement.
Last year, Nvidias GTC 2024 grabbed headlines with its introduction of the Blackwell architecture and the DGX systems powered by it. Nvidia will likely introduce updates to its CUDA (compute unified device architecture) platform, which the company developed to expand the capabilities of GPU acceleration.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. IDC survey data shows a strong preference among SD-WAN users or prospective users for single-vendor SASE architectures. AI is set to make its mark on SD-WAN technology.
Zero Trust architecture was created to solve the limitations of legacy security architectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. In today’s digital age, cybersecurity is no longer an option but a necessity.
With data stored in vendor-agnostic files and table formats like Apache Iceberg, the open lakehouse is the best architecture to enable data democratization. In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS.
Nile also announced a new training and qualification program for customers and partners to ensure they receive the knowledge and skills to build secure, high-performance networks based on the Nile architecture.
Hybrid by design The mainframe’s ability to be integrated with and modernized by cloud computing architectures is an integral part of its future role. Most enterprises have built tech estates on hybrid cloud architecture, the researchers stated. “In
We are on the cusp of one of the most significant changes in the x86 architecture and ecosystem in decades – with a new level of customization, compatibility and scalability required to meet current and future customer demands,” said Intel CEO Pat Gelsinger in a statement.
With growing concerns over advanced threats, VPN security issues, network complexity, and adversarial AI, enterprises are showing increased interest in a zero trust approach to security and moving away from firewall-and-VPN based architecture. Only 15% do not have a plan to embrace zero trust this year.
Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Architecture complexity.
Skills in architecture are also in high demand, as power-hungry AI systems require rethinking of data center design. Additionally, the industry is looking for workers with knowledge of cloud architecture and engineering, data analytics, management, and governance skills.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.
The demand for AI skills is projected to persistently grow as these technologies become more central to network engineering and architectural roles. A deep understanding of cloud platforms and services is essential, and this includes knowledge of cloud architecture, deployment models, and management tools.
In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.
The deal, which sees Oracle and Carlyle selling their stakes in Ampere, strengthens SoftBanks position in the growing market for AI-optimized processors as major cloud providers increasingly look beyond traditional x86 architecture.
The fact is that within enterprises, existing architecture is overly complex, often including new digital systems interconnected with legacy systems. This hybrid architecture is a combination of best and bad practice. For most enterprises stuck in this hybrid state, the way forward is to be more discipline around architecture.
Assetnote describes this as a quite common architecture problem where authentication is enforced at a proxy layer, but then the request is passed through a second layer with different behavior. Fundamentally, the research note added, these architectures lead to header smuggling and path confusion, which can result in many impactful bugs.
To accommodate increased traffic, more edges, and dispersed users, modern SD-WAN solutions need to have top-of-the-line performance, resiliency, scalability, and autonomous architecture options. The increasing demand for SD-WAN and its continued evolution highlights its importance.
Gain insights into Cassandra's architecture, configuration strategies, and best practices. Learn from Lewis DiFelice, an experienced Professional Services Consultant at Instaclustr, as he shares his journey transitioning from SQL to managing a 40-node Cassandra cluster. Download now and revolutionize your database operations!
A tectonic shift was moving us all from monolithic architectures to self-service models and an existential crisis for architecture and IT was upon us. How will agentic intelligence architectures facilitate business capability and value? Enterprises survive and thrive through their capacity to pivot and adapt.
The future of leadership is architecturally driven As the demands of technology continue to reshape the business landscape, organizations must rethink their approach to leadership. The future of leadership is agile, adaptable and architecturally driven.
Why comprehensive TLS/SSL inspection matters The foundation of Zscalers defense against encrypted threats is its full TLS/SSL inspection capabilities, enabled by a scalable proxy-based architecture. Maintain high performance: Zscalers architecture eliminates bottlenecks typically associated with hardware appliances.
I was confident that a zero trust architecture with the right vendor would at least help address our security concerns. What to expect and advice for Zscaler deployments That’s not to say there isn’t a learning curve when transitioning to a zero trust architecture. You and your teams need to be aware of the effort it takes.
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.
In that report, we analyzed how the cloud-native ecosystem, driven by open-source software (OSS), has been powering architecture modernization across infrastructure and application development, enabling platform-driven innovation in the meantime across a spectrum of technology domains such as data […]
Before jumping into an AI strategy, organizations need to ensure that their architecture can support AI applications, and that means modernizing that underlying architecture.
VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Not at all.”
As a long-time partner with NVIDIA, NetApp has delivered certified NVIDIA DGX SuperPOD and NetApp ® AIPod ™ architectures and has seen rapid adoption of AI workflows on first-party cloud offerings at the hyperscalers. Planned innovations: Disaggregated storage architecture.
From understanding its distributed architecture to unlocking its incredible power for industries like healthcare, finance, retail and more, experience how Cassandra® can transform your entire data operations.
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