Name: How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape
Start: 2022-06-23T22:00:00Z
End: 2022-06-23T22:00:51.000Z
Location: BrightTALK
Rating: 4

The Enterprise Architecture channel  presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.

The days of simple, static, self-contained file systems have long passed. Today, we have complex, dynamic namespaces, mixing block, file, object, key-value, queue, and graph-based resources, accessed via multiple protocols, and distributed across multiple systems and geographic sites. These complexities result in new challenges for simplifying management. 

The good news is, that the SNIA Cloud Data Management Interface (CDMI™), an open ISO standard (ISO/IEC 17826:2022) for managing data objects and containers, already includes extensive capabilities for simplifying the management of complex namespaces. In this webinar, attendees will learn how to simplify namespace management – the open standards way, including namespace discovery, introspection, exports, imports and more, discussing:

• Challenges and limitations with proprietary namespace management
• Overview of namespaces and industry evolution
• Lack of portability between platforms
• Using CDMI for simplified and consistent namespace management
• Use cases for namespace management

Simplified Namespace Management – The Open Standard Way

In this era of digital transformation, more and more data-driven and machine intelligent solutions are being developed and deployed, changing the profile of companies from ordinary to more intelligent. AI systems keep learning and improving themselves to deal with data in a way similar to how the human brain processes the information. Advances in this area significantly improves decision making, performance, computational accuracy and permanency, and even outperforms and fights human weaknesses, such as fatigue, lack of attention and lack of knowledge. Nowadays, besides business-oriented tasks, AI-inspired solutions provide data protection from external and internal threats and are the only way to detect and block advanced persistent threats in their lateral movements. AI incorporates theories and best practices from scientific and technological fields without restriction. The more natural and computational sciences are involved, the more predictable and controllable are the results. No humans are capable to provide such an integration and full control, also visibility of the enterprise in all its layers.    

This webinar introduces several approaches to develop and implement AI solutions which can promote intelligence of organizations through application of computational technologies, machine learning and data science driven tools to make the business processes of a required quality and of the expected behavior.

AI for building, maintaining, and scaling intelligent enterprises

Data centres played an unquestionably key role in addressing several key challenges during the pandemic – from enabling remote work, to facilitating online education and accelerating medical innovation to speed up vaccine roll outs.  

With demand for digital services higher than ever, digitisation projects are driving the development of new trends and services, such as smart cities, Internet of Things, AI and 5G amongst others. This skyrocketing demand is matched by a growing demand for equipment and energy to power the rapidly expanding data centre industry. This increasing demand for IT equipment presents serious global, environmental challenges.  

In this session join Dr. Umaima Haider, Lecturer in Computer Science and Digital Technologies at the University of East London, to explore the opportunities and challenges that exist with respect to the environmental impact of digital infrastructure. 

Topics for discussion include: 
- Quantifying the environmental impact of data centres.  
- Reducing data centre cost and consumption. 
- Environmentally sustainable approaches to data centre growth.
- And more...

Embracing the digital era: Unlocking data centre environmental sustainability

There has been much talk about cloud repatriation as many organisations reverse their precipitate rush to the public cloud. But simply bringing it home isn’t the answer either. Hybrid cloud has been around for many years and the emerging trend for multi-cloud strategies is driving organisations to take a long hard look at their own data centres.

Building a truly cloud experience in an on-premises data centre is a challenge. Managing the resulting hybrid infrastructure with potential multi-clouds is a serious challenge. Join this webinar to look at options for building, managing, orchestrating and automating true hybrid clouds so they become an effective addition to an organisational strategy rather than the anchor that slows growth.

Find out:
- Why the modern enterprise data centre is still a good investment.
- How to manage across data centres and environments.
- How to move services between data centres quickly and easily.

About the speaker
An established thought leader and innovator, Simon serves as a Virtual CIO, CIO Advisor and Leadership Mentor for a wide variety of organisations.  Simon works with organisations to build high performing IT teams, develop structured training and development plans and to foster a culture of innovation and change.  Simon holds a Masters in Psychology and is a trained accountant and former finance director as well as being an RFU Licensed Rugby Coach.

The enterprise data center: Reports of my death are greatly exaggerated

AI is disrupting so many domains and industries and by doing so, AI models and algorithms are becoming increasingly large and complex. This complexity is driven by the proliferation in size and diversity of localized data everywhere, which creates the need for a unified data fabric and/or federated learning. It could be argued that whoever wins the data race will win the AI race, which is inherently built on two premises: 1) Data is available in a central location for AI to have full access to it, 2) Compute is centralized and abundant. 

Edge AI though, defies these assumptions. If centralized (or in the cloud) AI is a superpower and super expert, edge AI is a community of many smart wizards. As humans, we can appreciate the power of cumulative knowledge over a central superpower. In this webinar, we will touch on: 
• The value and use cases of distributed edge AI 
• How data fabric on the edge differs from the cloud and its impact on AI
• Edge device data privacy trade-offs and distributed agency trends
• Privacy mechanisms for federated learning, inference, and analytics
• How interoperability between cloud and edge AI can happen

Why Distributed Edge Data is the Future of AI

Organizations are increasingly adopting DaaS and VDI as an alternative to traditional physical PCs. Even so, there are a number of things that must be considered prior to implementing these technologies. 

This informative presentation presented by industry thought leader Brien Posey explores how DaaS and VDI differ from one another and what might lead an organization to choose one over another. It will also uncover how to avoid some common pitfalls that are often encountered during the implementation process.

Key considerations for implementing DaaS and VDI

In this session, learn from Technology Officer Chris Twiest as he shares his years of experience of moving companies to a hybrid workspace from a traditional VDI/DAAS solution. 

Chris has worked with many government agencies in the Netherlands in the past 4 years to create a new digital workspace. These digital workspaces promote hybrid work on BYOD and CYOD devices and intergrade perfectly in the Office 365 ecosystem while still delivering legacy application though a secure and central way. He will also explain why hybrid workspaces are important for the future of your company as well as the perfect place for AI and low-code workflows to exist and help your company to do more work in less time. 

Takeaways from the session
- Why do we need to change our digital workspace?
- How can we fit our digital workspace better to the BYOD and CYOD?
- The importance of cloud and moving workloads.
- How AI and low-code will live within the hybrid workspace.
- Why you may still need a VDI and DAAS solution but for different uses.

About the speaker
In this session Chris Twiest will share his years of experience of moving companies to a hybrid workspace from a traditional VDI/DAAS solution. 
Chris has worked with many government agencies in the Netherlands in the past 4 years to create a new digital workspace. 
These digital workspaces promote hybrid work on BYOD and CYOD devices and intergrade perfectly in the Office 365 ecosystem while still delivering legacy application though a secure and central way. Chris will also share why hybrid workspaces are important for the future of your company. Hybrid workspaces are the perfect place for A.I. and low-code workflows to exist and help your company to do more work in less time.

How hybrid workspaces will change VDI and DaaS

All too often we hear from users that their end user device is woefully underpowered or they want different types of device for different tasks. We need power and we need flexibility so how do we manage this? How can we empower our users whilst allowing them to use different types of device seamlessly? 

Tune into this webinar and see how we can balance these ever-competing needs and achieve that elusive thing, the satisfied user by designing a solution that:
- Supports multiple end user device formats.
- Allows users to request resources on demand. 
- Enables users to work anywhere on any device securely and safely.

About the speaker
An established thought leader and innovator, Simon serves as a Virtual CIO, CIO Advisor and Leadership Mentor for a wide variety of organisations.  Simon works with organisations to build high performing IT teams, develop structured training and development plans and to foster a culture of innovation and change.  Simon holds a Masters in Psychology and is a trained accountant and former finance director as well as being an RFU Licensed Rugby Coach.

I need more power: How to enable end users to work wherever, whenever

With governments, investors and consumers increasingly concerned about sustainability and ethical working in businesses, supply chain managers face complex challenges: embedding ESG practices across the supply chain, mitigating ESG-related risks and complying with an ever-evolving range of sustainability-related regulations.  

By strategically selecting suppliers, implementing green procurement policies and working closely with suppliers to reduce carbon footprints, procurement leaders can drive long-term, impactful change that corresponds with the organization’s decarbonization and ESG initiatives.  

In this session, Melissa Warneke, (Vice President - Head of Sustainable Procurement at Aon) explores the role Procurement is playing in driving decarbonization of supply chains and managing complex regulation globally.  

Topics for discussion include: 
- Understanding the evolving landscape of sustainability regulations and the impact they have on procurement and supply chains. 
- Managing complex the global ESG regulatory landscape: how to leverage data, analytics and other emerging technologies to drive transparency in decarbonization initiatives. 
- Identify and mitigate ESG-related risks within the supply chain and how to address them. 
- And more...

Optimizing for sustainability: ESG and supply chain resiliency

5G is among the more hyped technologies these days, but where is it actually useful? In this session, WLAN architect Lee Badman will cover how he sees:

- Where 5G has applicability.
- Where it really doesn’t.
- Why neither Wi-Fi nor 5G will ever “win” despite marketing attempts at pitting them against each other.

A Wi-Fi expert contemplates 5G use cases

Even in this era of remote work, Infrastructure as a Service (IaaS), and solutions like Secure Service Edge (SSE) and Secure Access Service Edge (SASE), believe it or not, we still need firewalls. In this webinar, Evgeniy Kharam, cybersecurity architect and advisor, will walk you through the ins and outs of firewalls – their history, evolution, and undying relevance. Starting from the very beginning, he’ll guide you through how firewalls have grown from simple shields to complex security systems. Explore the various types of firewalls that businesses are currently employing, be they large corporations, B2B entities, or organizations deeply embedded in cloud technology. 

You’ll emphasize Next-Generation Firewalls (NGFWs), focusing on their critical role in protecting our digital spaces, especially as more and more of us shift to working from home. Despite the rising prominence of security solutions like SASE and SSE, Evgeniy will explain why firewalls continue to be a vital part of our defense mechanism against cyber threats. Finally, you’ll look ahead at what the future might hold for firewalls amidst rapidly advancing technology. 

Join industry thought leader and podcaster Evgeniy Kharam to understand why firewalls, the old cybersecurity guards, still hold their ground in today's dynamic digital landscape.

Firewalls: Why they matter and where they fit in the cloud era

As cybersecurity evolves, organizations must adapt to the ever-changing threat landscape to protect their critical assets. In this webinar, we will delve into two emerging paradigms in cybersecurity: SASE (secure access service edge) and zero trust architecture. SASE represents a transformational approach to network security that consolidates networking and security functions. It aims to provide secure access to applications and resources, regardless of the user's location, while reducing management complexity. On the other hand, zero trust architecture challenges the traditional security perimeter by assuming that no user or device can be trusted by default, requiring continuous verification and authentication to all resources. It shifts the focus from perimeter-based security to a more granular and dynamic approach, minimizing the attack surface while preventing lateral network movement. 

In this webinar, we will provide insights on the fundamentals, benefits, and implementation considerations of SASE and zero trust architectures. Join us to learn how these two paradigms can work in tandem to provide a robust and comprehensive security strategy for your organization.

SASE and zero trust architecture: Complementing or competing?

Zero Trust Architecture (ZTA) has many attractive attributes, but it is not as easy to implement as its enthusiasts would like.  ZTA is based on certain expectations regarding users and data that many enterprises find difficult to achieve. The problems include poor coordination with business needs, over-authorization and poor controls over identity management, data management and applications. This session explores these issues and recommends strategies for countering the impediments.

Tune in to this webinar to learn:
- Which factors stand in the way of effective implementation of Zero Trust Architecture.
- How to map ZTA to the business needs of the organization.
- Methods for gaining sufficient control of identities, data and applications to support ZTA.
- Strategies for implementing ZTA that can counter the impediments.

Addressing the impediments to zero trust architecture implementation

Computer networks and infrastructures are constantly subject to cyber-attacks, so organizations must continuously strengthen the cyber defense of their assets. In this context, adopting zero trust along the appropriate approaches are the only acceptable solutions to achieve perimeterless information security and data privacy.

The concept of zero trust is based on the following factors:
- Strict identity verification for external and internal users or devices trying to access a resource, without exception.
- Multifactor authentication.
- Authorization.
- Ensuring the physical/logical integrity of digital assets and data.

Having the Cyber-Resilience Act in hand, plenty of compliant technological solutions are being introduced and implemented within tamper-proof devices and secure enclaves. The methodology behind these solutions is enforced and is being permanently developed by advances in secure and trusty computations.

This webinar is devoted to a conceptual introduction to mathematical modeling of zero trust and confidential computing.

Learn about mathematical modeling of zero trust and confidential computing

With cloud data privacy regulations evolving worldwide and accelerated adoption of AI technologies such as ChatGPT, Large Language Models (LLMs) and more, companies must ensure data and AI models are compliant. Confidential AI is a new collaborative platform for data and AI teams to work with sensitive data sets and run AI models in a confidential environment. It includes infrastructure, software, and workflow orchestration to create a secure, on-demand work environment that meets organizations' privacy requirements and complies with regulatory mandates. In this session, you’ll learn:

• What confidential AI is and why it is important
• Changing privacy and compliance landscape for AI use and models
• Biggest data privacy threats and opportunities 
• Pragmatic examples and next steps

The Rise of Confidential AI

Since its ratification in late 2018, NVMe/TCP has gained a lot of attention due to its great performance characteristics and relatively low cost. Since then, the NVMe/TCP protocol has been enhanced to add features such as Discovery Automation, Authentication and Secure Channels that make it more suitable for use in enterprise environments. More recently, as customers evaluate their options and consider adopting NVMe/TCP for use in their environment, many find they need a bit more information before deciding how to move forward and are asking questions such as:
• How does NVMe/TCP stack up against my existing block storage protocol of choice in terms of performance?
• Should I use a dedicated storage network when deploying NVMe/TCP or is a converged network ok?
• How can I automate interaction with my IP-Based SAN?

Join us for an open discussion regarding these questions and more.

NVMe/TCP: Performance, Deployment and Automation

Data Fabric is an architecture, set of services and platform that standardizes and integrates data across the enterprise regardless of data location (On-Prem, Cloud, Multi Cloud, Hybrid Cloud), enabling self-service data access to support various applications, analytics, and use cases.  The data fabric leaves data where it lives and applies intelligent automation to govern, secure and bring AI to your data. This session will discuss:
• Different types of data sources for data fabric integration
• Unification of structured and unstructured data sources into the data fabric
• How to simplify data access by virtually connecting data end points across a hybrid cloud landscape
• Providing automatic enrichment leveraging AI to contextualize data with semantics and knowledge
• Apply global and automated data governance and data privacy policy enforcement for increased data protection and quality

Data Fabric: Connecting the Dots between Structured and Unstructured Data

Role of Artificial Intelligence in Data Democratization

Decoding Data Automation With Cloud-Native Analytics Pipeline and MLOps

Managing Resiliencies for edge data-centre pods (& Clusters)

From Excessive Data Center Energy to Modular, Generative & Sustainable Designs

Reimagining Analytics With an Open Lakehouse

Full Cloud Native Stack

Pragmatic way to accelerate cloud native transformation

Data Architecture & Engineering in 2022

Are you exhausted trying to keep up with all the new terminology around data lake architecture that supports your BI solutions? What exactly is a data mesh? Do I now need a data fabric? Or...maybe a lakehouse? Or just a data lake? 

Join Dr. Ries as he walks through today's data architecture design decisions -- and there is no shortage of them. This webinar will help you understand what is the best path forward for your BI challenges, so that you can confidently break down silos and democratize your data. The talk will also discuss how machine learning can be utilized in data architecture and dashboarding solutions.

How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape

Data Warehousing

Data Lake

Machine Learning

Data Analytics

Data Architecture

machine learning

data landscape

Data Analysis

Business Intelligence

Business Analytics

Welcome to the virtualization community on BrightTALK! Whether it affects servers, storage, networks, desktops or other parts of the data center, virtualization provides real benefits by reducing the resources needed for your
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practices for avoiding virtual machine sprawl and other common virtualization pitfalls as well as how you can make the most of your virtualization environment.

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How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape

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