Navigate data challenges with modern data architecture strategies
By: Informatica View more from Informatica >>
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Your path to a decentralized data architecture
By:
Type: Replay
The modern data stack (MDS), data fabric, and data mesh are top of mind for leading professionals like you. These trends share a common theme: decentralized architecture. But how does this impact your business? Learn the answer from Karla Kirton, Data Architect at Blockdaemon and Nicola Askham, The Data Governance Coach, who discuss these decentralization megatrends in this webinar with an eye on your business impact. Joined by Matt Turner, Director of Industry Strategy and Partner Marketing at Alation, the trio answer questions and share advice on how to retain control, security, and governance — while helping you find useful, trustworthy data and information faster. Watch this on-demand webinar to learn: • More about data decentralization and how this can help drive business impact • How you, like Blockdaemon, can create a decentralized utopia • How you can weave data governance principles into your data mesh, helping people find, trust and share data faster
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Your path to a decentralized data architecture
By:
Type: Replay
The latest data concepts seem to arrive as quickly as the actual data! The modern data stack (MDS), data fabric, and data mesh are top of mind for leading professionals today. These trends share a common theme: decentralized architecture. But how does this impact the business? Learn the answer from Karla Kirton, Data Architect at Blockdaemon and Nicola Askham, The Data Governance Coach, who discusses these decentralization megatrends with an eye to business impact. Joined by Matt Turner, Director of Industry Strategy and Partner Marketing at Alation, they answer questions and share advice on how to retain control, security, and governance — while helping people find useful, trustworthy data and information faster. In this on-demand webinar you will learn: - More about data decentralization and how this can help drive business impact - How you, like Blockdaemon, can create a decentralized utopia - How you can weave data governance principles into your data mesh, helping people find, trust and share data faster Hear Karla and Nicola, who share lessons learned and best practices to help you on your data journey.
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Logical Data Fabric vs Data Mesh. Does it Matter?
By:
Type: Talk
Data Fabric and Data Mesh have been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter? In this session, we will discuss the market and analyst views of these two approaches and how they complement each other. We will be joined by Shanmuga Sunthar, APAC Director of Architecture & Chief Evangelist, who will share his insight on these topics. Attend this session to learn: - Concepts of a logical data fabric and also the processes outlined in a data mesh. - How the logical approach to data management and integration is both as relevant for a logical data fabric as well as a data mesh. - How enabling technologies such as Denodo can be leveraged in your data modernization strategy.
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What's all this talk about data mesh? Everything you need to know
By: TechTarget ComputerWeekly.com
Type: eGuide
Data mesh is a new approach aims to make data more accessible, usable and valuable to the organization by creating a more flexible, scalable and collaborative data architecture. In this article, we point out some of the benefits and challenges of data mesh, and how to set up the right culture and infrastructure to make the most of this approach.
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Logical Data Fabric vs Data Mesh. Does it Matter?
By:
Type: Talk
Data Fabric and Data Mesh have been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter? In this session, Ravi Shankar, Sr. VP and CMO at Denodo, will address the market and analyst views of these two approaches and how they complement each other. His presentation will be followed by an insightful and engaging fireside chat with Mark L Johnson, Executive Director, Client Solutions at Fusion Alliance to further discuss what it all means in terms of value to the customer. Attend and Learn: * Concepts of a logical data fabric and also the processes outlined in a data mesh. * How the logical approach to data management and integration is both as relevant for a logical data fabric as well as a data mesh. * The role logical data fabric has played in success with a data mesh through a specific customer implementation example.
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Logical Data Fabric vs Data Mesh. Does it Matter?
By:
Type: Replay
Data Fabric and Data Mesh have been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter? In this session, Ravi Shankar, Sr. VP and CMO at Denodo, will address the market and analyst views of these two approaches and how they complement each other. His presentation will be followed by an insightful and engaging fireside chat with Mark L Johnson, Executive Director, Client Solutions at Fusion Alliance to further discuss what it all means in terms of value to the customer. Attend and Learn: * Concepts of a logical data fabric and also the processes outlined in a data mesh. * How the logical approach to data management and integration is both as relevant for a logical data fabric as well as a data mesh. * The role logical data fabric has played in success with a data mesh through a specific customer implementation example.
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The Rise of Data Mesh and Data Fabric Architectures
By:
Type: Replay
Many data leaders are asking what are data mesh and data fabric? As businesses strive to advance digital transformation efforts, legacy architectures can be a significant obstacle to enabling the agility required to succeed in today’s ever-changing data landscape. Many enterprises struggle with scaling the delivery of data and analytics to accommodate the growing array of data domains, users, and use cases. As a result, data mesh and data fabric architectures are on the rise with the aim of abstracting data management complexity, increasing data availability, and fostering greater collaboration. To help IT decision-makers and practitioners better understand these new concepts, how they work, and key solutions to keep in mind, Semarchy joined DBTA in participating in a special roundtable webinar.
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Bringing Data Closer to Decision Makers with Data Fabric
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Type: Video
Modern organizations are laser-focused on delivering business value from technology initiatives. As a result, Data and Analytics leaders are partnering with their IT and Marketing counterparts to align their strategies for optimal results. This can lead to a balancing act between centralizing functions like data security and compliance and decentralizing data ownership so business users can drive projects autonomously. Data management is coming of age with modern data architecture patterns like data fabric and data mesh. Data fabric has gained traction because it's flexible enough to adapt to complex data growth and scale with business needs. Using a semantic layer, data fabrics weave data and metadata into a unified view to enable reusable and accessible knowledge on demand across the organization. This promotes better collaboration, less reliance on IT teams for data operations and greater self-service for data analytics. But how far are we in reaching the full promise of data fabrics? Special guest Andy Hayler, Practice Leader, Data as an Asset at Bloor Research and Stephen Crook, Principal Sales Engineer at Progress explore challenges and successful deliveries of data fabrics in the industry. Learn about: - Business adoption of data fabrics and technology maturity - Modernizing your architecture without disrupting legacy systems - How to balance democratized access to data with uniform governance and security - Data mesh of data fabric: What dictates the choice of data architecture in the modern enterprise? - Use cases and criteria for successful data fabric delivery
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Simplifier la mise en place d'une stratégie Data Mesh avec Denodo
By:
Type: Talk
Le Data Mesh est un nouveau paradigme, essentiel pour la gestion des données aujourd’hui, par une approche distribuée et décentralisée, dans lequel des domaines autonomes exposent leurs propres données en tant que "produits" au reste de l'organisation. Pourquoi mettre en place un Data Mesh ? Le Data Mesh tente de réduire les goulots d'étranglement dus à une dépendance excessive des utilisateurs à des équipes informatiques centralisées, et tire parti des connaissances spécialisées en matière de données que possèdent déjà les experts métier du domaine. La littérature sur le Data Mesh laisse la mise en œuvre de ces idées très ouverte à chaque organisation ; plus qu'une architecture figée ou une technologie attitrée, c'est une méthode d'organisation pragmatique. Le Data Mesh peut être considéré comme la face organisationnelle des architectures techniques du Data Fabric. Participez à ce webinar pour en savoir plus sur : - Les idées clés du Data Mesh et du Data Fabric - Comment Denodo peut vous aider à mettre en œuvre un Data Mesh - Comment nos clients utilisent Denodo pour passer de la théorie à la pratique
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How To Choose a Data Warehousing Solution in An Ever-Changing Data Landscape
By:
Type: Talk
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.
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Data Fabric, Data Hub, Data Mesh...and Everything in Between
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Type: Talk
Data and analytics teams are struggling to keep up with increasing demands to accelerate digital business, migrate data and applications to the cloud, and democratize data access across the enterprise. Fortunately, recent innovations in data management are enabling enterprises to deliver trusted data – for operational and analytical workloads – in real time, and at scale. Join this webinar to learn how Data Fabric, Data Hub, and Data Mesh are transforming data management. We will cover the emerging data architectures, their benefits, capabilities, differences, and use cases – and why Gartner recently singled out Data Fabric as the #1 strategic technology trend for 2022.
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Myth Busters VII: I’m building a data mesh, so I don’t need data virtualization
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Type: Talk
A data mesh architecture offers a lot of promise to change the way we manage data – and for the better. But there’s a lot of confusion about a data mesh. People will tell you that you can build a data mesh on top of a data lake or on top of a data warehouse, and that you don’t need data virtualization to build a data mesh. Many vendors are jumping on to the data mesh bandwagon and are claiming that they inherently support a data mesh architecture. But do they? How much of this is hype versus reality? Is it true that you don’t need data virtualization to build a scalable, enterprise-grade data mesh? This is the myth we will attempt to bust in this next Myth Busters webinar. Join us live to learn about the concepts and components of a data mesh, and hear how the logical approach to data management and integration – powered by data virtualization - is critical for a data mesh.
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De-Mystifying the Data Mesh
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Type: Talk
Data mesh is not something enterprises can buy off the shelf. Data mesh is a sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments — within or across organizations. The technical aspect is more architecture than tool or platform, with almost a religious mantra of, “Data mesh is not about technology.” But the number one question data architecture and data engineering teams have about data mesh is, what are the strategies I use to implement it? Tune into this webinar to learn from guest speaker Michele Goetz, VP/Principal Analyst at Forrester: • some of the principles behind the data mesh concept • how to translate data mesh soft artifacts to deployable products • what data capabilities exploit the decoupled nature of compute, storage, and state • and where a scalable, high value for performance database like Vertica fits in a data mesh implementation
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Take a "Data as a Product" approach to democratize data access in the enterprise
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Type: Talk
About this talk: * Join this webinar to learn about an emerging approach to data management, founded on data products. * We will explain the “data as a product” concept, and how taking a product lifecycle approach to data can systematically deliver high-quality data to data consumers across the enterprise. * We will showcase common data product use cases and their architectures, and how the K2View Data Product Platform delivers and manages data products, at massive scale. * Agenda: • What is a Data Product? • ‘Data as a Product’ and the data delivery lifecycle • Deployment architectures: data fabric and data mesh • A new role: Data Product Manager • Data Product Platform demo
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Take a "Data as a Product" approach to democratize data access in the enterprise
By:
Type: Replay
About this talk: * Join this webinar to learn about an emerging approach to data management, founded on data products. * We will explain the “data as a product” concept, and how taking a product lifecycle approach to data can systematically deliver high-quality data to data consumers across the enterprise. * We will showcase common data product use cases and their architectures, and how the K2View Data Product Platform delivers and manages data products, at massive scale. * Agenda: • What is a Data Product? • ‘Data as a Product’ and the data delivery lifecycle • Deployment architectures: data fabric and data mesh • A new role: Data Product Manager • Data Product Platform demo
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Federated data management via Data Mesh at a Big 4 accounting firm
By:
Type: Talk
About this talk: For this international giant, complying with global and local data regulations – while federating data ownership – is a big daunting challenge. They have decided to deploy a Data Mesh architecture for managing customer and employee data. Join this webinar to discover how the K2View Data Product Platform is used in real-life to unify globally dispersed data, while federating data ownership and fulfilling data residency and data privacy requirements. Agenda: * The business drivers and considerations behind selecting a Data Mesh architecture * Data Mesh case study – company's requirements, data architecture, and benefits * Defining roles and responsibilities for making sensitive, operational data easily and safely accessible in a decentralized organization * Live demo: Creating and delivering data products in a Data Mesh
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Data Mesh: From Concept to Implementation
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Type: Video
Explore the nuances of implementing a data mesh architecture and overcome challenges, particularly in the context of legacy data pipelines, by adopting a modern approach that incorporates streaming data. This webinar offers insights from analyst Michele Goetz on best practices for building a data mesh and outlines principles for constructing enhanced data pipelines for this architecture, as shared by Mike Agnich, VP of Product at Confluent. Additionally, learn from Lumen's experience on leveraging streaming pipelines to implement a data mesh and architect a democratized data marketplace. Don't miss this opportunity to delve into the concept and real-life implementation of a data mesh—join us and bring your questions!
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Enabling a Data Mesh Architecture and Data Sharing Culture with Denodo
By:
Type: Replay
Data Mesh presents a new distributed and decentralized paradigm for data management, where autonomous domains expose their own data as "data products" to the rest of the organization. It tries to reduce bottlenecks derived from excessive dependency on centralized IT teams and capitalizes on the specialized data knowledge that domain users already have. However, Data Mesh literature leaves the implementation of these ideas very open to each organization. Attend and Learn: * The key ideas of a Data Mesh * How Denodo can help you implement a Data Mesh * How a Denodo customer, Landsbankinn, went from a traditional analytic architecture to Data Mesh using Denodo.
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Data Governance is NOT boring V2
By:
Type: Talk
Nigel Turner (DAMA UK Committee) and Sarah Higham (Pets at Home) discuss a topic that is near and dear to all of us. Please join them as they chat about and get to grips with the importance of data governance when implementing data mesh/data fabric and AI across your data
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Enabling a Data Mesh Architecture and Data Sharing Culture with Denodo (APAC)
By:
Type: Replay
Data Mesh presents a new distributed and decentralized paradigm for data management, where autonomous domains expose their own data as "data products" to the rest of the organization. It tries to reduce bottlenecks derived from an excessive dependance on centralized IT teams, and capitalizes on the specialized data knowledge that domain users already have. However, Data Mesh literature leaves the implementation of these ideas very open to each organization. Attend and Learn: - Deep dive into the key ideas of Data Mesh - Understand how Denodo can help you implement a Data Mesh - Hear directly from a Denodo client, Landsbankinn, their journey from a traditional analytic architecture to Data Mesh using Denodo
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Unlocking the Power of Data Mesh: Decentralizing and Democratizing Data
By:
Type: Talk
Data Mesh has been gaining traction over the past year or two - and with good reason. With organizations constantly exploring the potential of data, it’s becoming increasingly clear that it’s Data Mesh that may be the key to enabling businesses to truly realize their data-driven initiatives. In this Confluent webinar, experts are coming together to discuss how Data Mesh has emerged as a paradigm shift in data architecture and to share how teams can be empowered to harness the power of their data at scale. Join Lyndon Hedderly - Director of Customer Solutions at Confluent and Piethein Strengholt - Chief Data Officer (The Netherlands) at Microsoft as they explore: - The core principles and fundamentals of Data Mesh - Best practices for implementing a Data Mesh into your organization, including how businesses can foster a culture of data ownership, accountability, and autonomy - What Data Mesh challenges may arise and how to navigate them - The stakeholders involved in implementing and managing a Data Mesh - The business value and new revenue streams a Data Mesh can help realize
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Unlocking the Power of Data Mesh: Decentralizing and Democratizing Data
By:
Type: Replay
Data Mesh has been gaining traction over the past year or two - and with good reason. With organizations constantly exploring the potential of data, it’s becoming increasingly clear that it’s Data Mesh that may be the key to enabling businesses to truly realize their data-driven initiatives. In this Confluent webinar, experts are coming together to discuss how Data Mesh has emerged as a paradigm shift in data architecture and to share how teams can be empowered to harness the power of their data at scale. Join Lyndon Hedderly - Director of Customer Solutions at Confluent and Piethein Strengholt - Chief Data Officer (The Netherlands) at Microsoft as they explore: - The core principles and fundamentals of Data Mesh - Best practices for implementing a Data Mesh into your organization, including how businesses can foster a culture of data ownership, accountability, and autonomy - What Data Mesh challenges may arise and how to navigate them - The stakeholders involved in implementing and managing a Data Mesh - The business value and new revenue streams a Data Mesh can help realize
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Apache Kafka®, Confluent, and the Data Mesh
By:
Type: Video
Data mesh is a new approach to designing data architectures by embracing organisational and data-centric constructs, such as data management and governance. The idea is that data should be easily accessible and interconnected across the entire business. In this talk, will cover: - The basics of building a streaming data mesh with Kafka & how Confluent enables this. - The four principles of the data mesh: domain-driven decentralisation, data as a product, self-service data platform, and federated governance. - The differences between working with event streams versus centralised approaches. - How to onboard data from existing systems into a mesh, modelling the communication within the mesh - How to deal with changes to your domain’s “public” data, give examples of global standards for governance - The importance of taking a product-centric view of data sources and the data sets they share.
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Apache Kafka®, Confluent, and the Data Mesh
By:
Type: Replay
Data mesh is a new approach to designing data architectures by embracing organisational and data-centric constructs, such as data management and governance. The idea is that data should be easily accessible and interconnected across the entire business. In this talk, will cover: - The basics of building a streaming data mesh with Kafka & how Confluent enables this. - The four principles of the data mesh: domain-driven decentralisation, data as a product, self-service data platform, and federated governance. - The differences between working with event streams versus centralised approaches. - How to onboard data from existing systems into a mesh, modelling the communication within the mesh - How to deal with changes to your domain’s “public” data, give examples of global standards for governance - The importance of taking a product-centric view of data sources and the data sets they share.
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Building the Foundation of a Modern Data Architecture
By:
Type: Talk
Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed. In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that establishes an abstraction layer across all enterprise data assets, enabling immediate access to any dataset regardless of its location, format, or latency. Attend & Learn: The need for a modern cloud data architecture Trends and Best Practices for a modern data stack The foundational capabilities required when building a Data Fabric and/or Data Mesh architecture. How to simplify your data governance and security programs.
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Building the Foundation of a Modern Data Architecture
By:
Type: Talk
Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed. In this session, Shanmuga Sunthar Muniandy, Director of Data Architecture and Chief Evangelist Asia Pacific with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that establishes an abstraction layer across all enterprise data assets, enabling immediate access to any dataset regardless of its location, format, or latency. Attend & Learn: - The need for a modern cloud data architecture. - Trends and Best Practices for a modern data stack. - The foundational capabilities required when building a Data Fabric and/or Data Mesh architecture. - How to simplify your data governance and security programs.
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Agile Data Management with Enterprise Data Fabric
By:
Type: Talk
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations. Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse. Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals. Join us for this webinar to know about the modern virtual data landscapes including: - Virtual Data Fabric - Data Mesh - Multi-Cloud Hybrid architecture and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
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Agile Data Management with Enterprise Data Fabric
By:
Type: Video
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations. Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse. Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals. Join us for this webinar to know about the modern virtual data landscapes including: - Virtual Data Fabric - Data Mesh - Multi-Cloud Hybrid architecture and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
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Agile Data Management with Enterprise Data Fabric
By:
Type: Replay
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations. Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse. Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals. Join us for this webinar to know about the modern virtual data landscapes including: - Virtual Data Fabric - Data Mesh - Multi-Cloud Hybrid architecture and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
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Data Mesh - data revolution or hype?
By:
Type: Talk
Synopsis: As the proliferation and use of data continues to grow so to does the potential value of data to an organisation. Yet many organisations are still to realise tangible and measurable value from their data as evidenced by many analyst reports. Most organisations have invested in a centralised data strategy and data team to help transform themselves into a data driven orgsanisation, yet the benefit realised does not offset the investment in many cases. As the race to capitalise on data potential rages on, organisations look to next generation data architectures and principles to finally realise the true value from their data across the organisation. Data Mesh promises to help organisations revolutionise their data strategies but is this hype or reality? During this session, we will discuss:- Challenges of current generation data platforms What is a Data Mesh (and what it’s not)? Principles and potential of Data Mesh The role of Data Products Is Data Mesh right for you? Q&A
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La Data Virtualization au coeur de l'architecture Data Mesh
By:
Type: Video
Le concept architectural du “Data Mesh” a été proposé pour la première fois en 2019 par Zhamak Dehghani, consultant technologique principal chez Thoughtworks, une entreprise étroitement associée au développement de la méthodologie agile distribuée. Un “Data Mesh” est une infrastructure de données distribuée et décentralisée dans laquelle plusieurs domaines autonomes gèrent et exposent leurs propres données, appelées "produits de données". Les organisations s'appuient sur l'architecture de Data Mesh lorsqu'elles sont confrontées aux limitations des architectures hautement centralisées, telles que le manque d'expertise métier dans les équipes IT, le manque de flexibilité des référentiels de données centralisés pour répondre aux besoins des différents départements, et la lenteur des infrastructures de données centralisées à fournir des données et à répondre aux changements. Dans cette session, Emily Sergent, ingénieure avant-vente chez Denodo, vous explique comment la virtualisation des données est votre meilleur atout pour mettre en œuvre une architecture “Data Mesh” efficace. Vous apprendrez : - Comment l'architecture de “Data Mesh” permet non seulement de meilleures performances et une plus grande agilité, mais aussi un accès aux données en libre-service - Qu’est-ce que c’est un “produit de donnée” et comment la data virtualization vous permet de les définir - Comment la data virtualization facilite l’autonomie des acteurs dans les domaines métiers - Pourquoi un data lake n'est pas automatiquement un “Data Mesh” - Comment mettre en œuvre une architecture de “Data Mesh” simple et fonctionnelle, bâtie sur votre architecture de données actuelle.
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How to Implement a Cybersecurity Mesh Architecture Featuring Gartner
By:
Type: Replay
Today’s networks are increasingly complex. Most IT teams face security gaps, operational challenges, and no way to achieve end-to-end visibility. Join Fortinet and Gartner to learn how to address these issues and more with a Cybersecurity Mesh Architecture (CSMA). Find out: - What a CSMA is - Why a CSMA is critical - How to implement the concept with the Fortinet Security Fabric
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The Journey towards Data Mesh in Financial Industry
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Type: Talk
In a data-centric world, how to manage the business data correctly and embrace the ubiquity of data in the enterprise, it’s the question all businesses like insurance, banking, pharma and industrial, have to answer. Data mesh is an architectural paradigm that has slowly gained traction since it was first proposed by Zhamak Delgahni in 2019. Forward-thinking organisations require a data mesh that addresses common nonfunctional requirements together with an operating model that recognises the strategic value of data. In this talk, we are glad to have Sarath Kummamuru, former CIO & CTO of Airtel Payments Bank together with our resident subject matter expert Gnanaguru Sattanathan to dive deeper into what it takes to build a Data Mesh for a bank and how data in motion or event streaming platform forms the bedrock of this new paradigm.
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The Journey towards Data Mesh in Financial Industry
By:
Type: Replay
In a data-centric world, how to manage the business data correctly and embrace the ubiquity of data in the enterprise, it’s the question all businesses like insurance, banking, pharma and industrial, have to answer. Data mesh is an architectural paradigm that has slowly gained traction since it was first proposed by Zhamak Delgahni in 2019. Forward-thinking organisations require a data mesh that addresses common nonfunctional requirements together with an operating model that recognises the strategic value of data. In this talk, we are glad to have Sarath Kummamuru, former CIO & CTO of Airtel Payments Bank together with our resident subject matter expert Gnanaguru Sattanathan to dive deeper into what it takes to build a Data Mesh for a bank and how data in motion or event streaming platform forms the bedrock of this new paradigm.
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RVDL Logical Data Fabric to the Rescue
By:
Type: Video
In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans; he will point out the benefits of creating a logical data fabric and why data fabrics, are the only successful modern architecture for data integration and data management projects. We will learn how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos. Rick will discuss how a logical data fabric, a popular new architectural approach, virtually integrates existing transactional data and data delivery systems to make all the individual components look as one. In particular, Rick will discuss the benefits of decoupling the consumption layer from the data sources and why this has many business benefits.
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Logical Data Fabric to the Rescue (APAC)
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Type: Replay
In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans; he will point out the benefits of creating a logical data fabric and why data fabrics, are the only successful modern architecture for data integration and data management projects. We will learn how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos. Rick will discuss how a logical data fabric, a popular new architectural approach, virtually integrates existing transactional data and data delivery systems to make all the individual components look as one. In particular, Rick will discuss the benefits of decoupling the consumption layer from the data sources and why this has many business benefits.
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Analyst Webinar: The value of Data Virtualization in a Data Mesh
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Type: Talk
Data mesh, data mesh, data mesh. WHAT IS IT??? How many times have we heard this name drop, yet do we really know how it works? In this webinar, you will learn from Mike Ferguson, an industry expert and the Managing Director of Intelligent Business Strategies, about what makes up a data mesh.
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Analyst Webinar: The value of Data Virtualization in a Data Mesh (APAC)
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Type: Talk
Data mesh, data mesh, data mesh. WHAT IS IT??? How many times have we heard this name drop, yet do we really know how it works? In this webinar, you will learn from Mike Ferguson, an industry expert and the Managing Director of Intelligent Business Strategies, about what makes up a data mesh.
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Why You Need a Data Centric Architecture in 2024
By:
Type: Video
The advent of AI coupled with companies’ need to leverage context-rich data for smarter decision-making has highlighted the value of qualitative and unstructured data. But traditional enterprise architectures have focused on the business application, which has led to continued data fragmentation across the organization, and poor business insights from that data. Low-quality, poorly governed data decreases business agility and increases integration costs. A data-centric approach, by comparison, treats data as a workstream. It helps organizations effectively manage the full data supply chain, transform a siloed business environment for democratized data sharing and tap into its enterprise knowledge. Daniel Roberts, Senior Manager, Sales Engineering at Progress, explores: - Differences between app-centric and data-centric architectures - Benefits of data centricity for complex data management - The move towards knowledge graphs and the technology you need to support it - Use cases that could benefit from transitioning to a data-centric architecture - How to build data hubs, data fabric and knowledge graphs with Progress MarkLogic Learn how to adapt and future-proof your current data architecture to sustain company growth and emerging market demands for the next five years and beyond. Intro & Agenda 00:00 - 4:10 Wealth Management Case Study 4:11 - 6:43 App-Centric Data Architecture & Enterprise Vocabulary 6:44 - 10:29 Ideological Architecture, Comparisons, and Approach 10-30 - 21:43 What about Unstructured Data? 21:44 - 26:53 Benefits of a Data-Centric Approach 26:54 - 28:36 Data-Centric Approach with Data Fabric 28:37 - 33:14 Data Mesh 33:15 - 36:20 Delivering a Data-Centric Architecture 36:21 - 37:34 What is a Data Hub and its Advantages? 37:35 - 39:33 Knowledge Graphs 39:34 - 41:06 How MarkLogic & Semaphore Transform Your Architecture 41:07 - 53:26 Key Takeaways & Questions 53:27 - 1:05:44
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Physical or Logical Data Fabric: Which One to Use and When?
By:
Type: Replay
What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when? Attend this webinar and find out: · What is a data fabric? · How is a physical data fabric different from a logical data fabric? · Which one should you use and when? · What’s the underlying technology that makes up the data fabric? · Which companies are successfully using it and for what use case? · How can I get started and what are the best practices to avoid pitfalls?
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Physical or Logical Data Fabric: Which One to Use and When? (APAC)
By:
Type: Talk
What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when? In this session you will learn: • What is a data fabric? • How is a physical data fabric different from a logical data fabric? • Which one should you use and when? • What’s the underlying technology that makes up the data fabric? • Which companies are successfully using it and for what use case? • How can I get started and what are the best practices to avoid pitfalls?
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Analyst Webinar - Logical Data Fabric to the Rescue
By:
Type: Talk
In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans, the benefits of creating a logical data fabric and why data fabrics, in general, are the only successful modern architecture for data integration and data management projects. We will learn from Rick how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos. Rick will discuss how a logical data fabric, a popular new architectural approach, virtually integrates existing transactional data and data delivery systems to make all the individual components look as one. In particular, Rick will discuss the benefits of decoupling the consumption layer from the data sources and why this has many business benefits. Finally and most importantly, Rick will look at the key attributes of a logical data fabric including centralized data security, embedded metadata support, built-in support for record-oriented and set-oriented data access, and AI/ML support.
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Analyst Webinar - Logical Data Fabric to the Rescue (NA)
By:
Type: Replay
In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans, the benefits of creating a logical data fabric and why data fabrics, in general, are the only successful modern architecture for data integration and data management projects. We will learn from Rick how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos. Rick will discuss how a logical data fabric, a popular new architectural approach, virtually integrates existing transactional data and data delivery systems to make all the individual components look as one. In particular, Rick will discuss the benefits of decoupling the consumption layer from the data sources and why this has many business benefits. Finally and most importantly, Rick will look at the key attributes of a logical data fabric including centralized data security, embedded metadata support, built-in support for record-oriented and set-oriented data access, and AI/ML support.
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Data Mesh, Data Governance and the concept of data products
By:
Type: Talk
In today's rapidly evolving data landscape, traditional approaches to Data Governance no longer suffice. Most new technologies don't make much difference to how you would implement Data Governance in an organisation, however, Data Mesh with its combination of technology and organisational structure has changed that. In this session, Nicola Askham, The Data Governance Coach, will look the concepts of Data Mesh and Data Products and then their intersection with Data Governance, shedding some light on how you need to change your thinking to implement Data Governance successfully in a data mesh environment. Join this session to get: A basic overview of what data mesh is An understanding of what data products are A case study of implementing Data Governance for Data Mesh
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An Engineering Approach to Implementation of the Data Mesh Concept
By:
Type: Talk
A monolithic approach to building systems rarely succeeds. And yet there is clear value in having knowledge workers access data across an enterprise. The Data Mesh concept put forth by Dehghani proposes a divide and conquer approach to tackling monolithic complexity by aligning implementation to the idea of domains. In this workshop we will discuss an engineering approach for Data Mesh deployment that provides a practical architecture and governance framework to deliver connectivity across domains while encouraging a decentralized approach to stewardship and implementation. Learn how to accelerate delivery of data products using a domain-driven design approach. Learn about best practices in data engineering aligned to a domain-driven approach to delivery of data products. Learn how to deliver using autonomous, decentralized teams while avoiding anarchy in architecture and deployment.
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An Engineering Approach to Implementation of the Data Mesh Concept
By:
Type: Talk
A monolithic approach to building systems rarely succeeds. And yet there is clear value in having knowledge workers access data across an enterprise. The Data Mesh concept put forth by Dehghani proposes a divide and conquer approach to tackling monolithic complexity by aligning implementation to the idea of domains. In this workshop we will discuss an engineering approach for Data Mesh deployment that provides a practical architecture and governance framework to deliver connectivity across domains while encouraging a decentralized approach to stewardship and implementation. Learn how to accelerate delivery of data products using a domain-driven design approach. Learn about best practices in data engineering aligned to a domain-driven approach to delivery of data products. Learn how to deliver using autonomous, decentralized teams while avoiding anarchy in architecture and deployment.
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Explore FlexPod's reliability with All-Flash SAN Arrays
By: Arrow NetApp
Type: Product Overview
This report examines the design and implementation of a FlexPod data center solution with NetApp's All-Flash SAN Array. It offers six-nines availability, data integrity, and optimized performance for critical workloads. Learn how this pre-validated infrastructure ensures seamless storage failover and enhanced reliability.
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Apache Kafka® and the Data Mesh
By:
Type: Replay
From digital banking to industry 4.0 the nature of business is changing. Increasingly businesses are becoming software. And the lifeblood of software is data. Dealing with data at the enterprise level is tough, and there have been some missteps along the way. This session will consider the increasingly popular idea of a 'data mesh' - the problems it solves and, perhaps most importantly, how a data in motion or event streaming platform forms the bedrock of this new paradigm. Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. A kind of “microservices” for the data-centric world. While the data mesh is not technology-specific as a pattern, the building of systems that adopt and implement data mesh principles have a relatively long history under different guises. In this talk, we'll cover: - building a streaming data mesh with Kafka -the four principles of the data mesh: domain-driven decentralisation, data as a product, self-service data platform, and federated governance. -the differences between working with event streams versus centralised approaches and highlight the key characteristics that make streams a great fit for implementing a mesh, such as their ability to capture both real-time and historical data. - how to onboard data from existing systems into a mesh, modelling the communication within the mesh -how to deal with changes to your domain’s “public” data, give examples of global standards for governance -the importance of taking a product-centric view on data sources and the data sets they share.
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The Data Mesh and why consider the architectural paradigm for your organization
By:
Type: Replay
Most companies have been working to modernize their applications. And yet, when asked, "what do you view as the main driver of innovation at your company?" The response is nearly always that data is the primary driver of innovation. In this talk, we will look at what a data mesh is and how we can transition from a monolithic approach to data, to an approach which can become the data platform for our microservices as we modernize our application architectures.