Kasabi Linked Data Marketplace

Slides from my SemTech talk about Kasabi

We want to make it easy for you to publish data

We want to make it easy for you to use data

We want to help you get paid for your data

Watch full webinar here: https://bit.ly/3IS9sQS A data marketplace is like an online shopping interface specializing in data. Ideally, it should work just like an online store, with minimal latency and maximum responsiveness. However, this does not mean that all of the data in the data marketplace needs to be stored in the same central repository. In this session, Shadab Hussain, Americas Sales Head, Data Analytics at Wipro, a partner company with Denodo and a co-sponsor of DataFest 2021, talks about the role of data virtualization in enabling full-featured data marketplaces. Such data marketplaces provide real-time, curated access to data, even when the data is stored across many different sources throughout the organization. You will learn: - The main features of a data marketplace - Why organizations need data marketplaces - Why data marketplaces sometimes fail - How data virtualization enables the most effective data marketplaces - How one of Europe’s premiere public healthcare system organizations leveraged a data marketplace to improve data consumption and ease of access

Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization

Watch: https://bit.ly/2FLc5I2 Being able to maintain a well managed and curated Data Warehouse, along with keeping up with all of the demands of a very sophisticated consumer group can be a challenge. The new user wants access to data, they want to experiment, fail fast and if they do find usable insights/algorithms they want them productionized. This puts pressure on an IT organization and pushes them closer to a Bimodal operation where the regular IT processes that are highly curated, well defined and managed contrast sharply with the demands of the more sophisticated user. In the recently published TDWI Best Practices Report ,“Data Management for Advanced Analytics”, Philip Russom, DM for Advanced Analytics some of these newer requirements for the more sophisticated user are discussed in some length. How can IT support traditional demands around traditional BI and Reporting, whilst enabling the business with more demand for data and Advanced Analytics in mind? Attend and learn: - How data virtualization enables this Bi-Modal approach to Data Management. - How data virtualization enables compelling use cases for data management and advanced analytics - How we can achieve this important balance with process and technology.

Why Data Virtualization Matters in Your Portfolio

Watch full webinar here: [https://buff.ly/2W925vO] Enterprise data virtualization has become critical to every organization in overcoming growing data challenges. In this webinar, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, will address: Data virtualization market growth trends and momentum Key solutions and use cases How leaders like Denodo are differentiating from other vendors in the market

Data Ninja Webinar Series: Accelerating Business Value with Data Virtualizati...

Watch the full webinar - Session one: Data Ninja Webinar Series by Denodo: https://goo.gl/yAdMpL The following presentation was used during the webinar entitled: "Accelerating Business Value with Data Virtualization Solutions". It discusses the role of data virtualization in delivering real business value from your new and existing data assets. This is session 1 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O

Cloud Modernization and Data as a Service Option

Watch: https://bit.ly/2E99UNO The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. And all of this without even knowing if that data will be useful at all. Attend this session to learn: - How dynamic data challenges and the speed of change requires a new approach to data architecture. - Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime. - Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.

Using neo4j for enterprise metadata requirements

Neo4j

Metadata is everywhere yet traditionally approaches to managing it have been disparate, siloed and often ineffective. In this talk James will discuss the opportunities for using graph technology to address the fundamental challenges and questions of metadata management such as impact analysis, data lineage and definitions. Data to Value are a Data Consultancy based in London that specialise in applying lean and agile techniques to complex data requirements. Connected Data is a particular focus for the firm which they see as the new frontier for data leaders. James Phare has over 15 years experience of creating and leading data teams in various roles in Financial Services. Prior to cofounding Data Consultancy Data to Value he was Head of Information Management and Data Architecture at Man Group – one of the world’s largest Hedge funds. James started his career at Thomson Reuters after graduating in Economics from the University of York.

Denodo DataFest 2016: The Governed Data Lake – Putting Big Data to Work

Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/VyrAbY Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source. In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present: • The philosophies behind agile, modern (Spark-based) data architectures • How to use a logical data warehouse/ data lake as part of the data governance strategy • Building an information architecture – dos and don’ts This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

Logical Data Fabric: Architectural Components

Watch full webinar here: https://bit.ly/2EpHGyd Presented at Data Champions, Online Asia 2020 Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention. In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations: - Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time - Build a single engine for security that provides audit and control by geographies - Accelerate delivery of insights from your advanced analytics project

Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...

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Big Data Fabric: A Recipe for Big Data Initiatives

Big data fabric combines essential big data capabilities in a single platform to automate the many facets of data discovery, preparation, curation, orchestration, and integration across a multitude of data sources. Attend this session to learn how Big Data Fabric enabled by data virtualization constitutes a recipe for: • Enabling new actionable insights with minimal effort • Securing big data end-to-end • Addressing big data skillset scarcity • Providing easy access to data without having to decipher various data formats Agenda: • Big Data with Data Virtualization • Product Demonstration • Summary & Next Steps • Q&A Watch webinar on demand here: https://goo.gl/EpmIBx This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb

Denodo DataFest 2016: Metadata and Data: Search and Exploration

Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7 What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users In this session, you will learn: • How to discover, search, explore, curate and share trusted data assets in a governed manner • How to view and utilize the complete lineage of data assets • Ways to infer patterns in data and metadata This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

Demystifying Data Virtualization: Why it’s Now Critical for Your Data Strategy

Watch: https://bit.ly/3iZUf2o Data Virtualization has gone beyond its initial promise and is now becoming a critical component of an adaptive, agile enterprise data fabric. But there are common misconceptions around Data Virtualization and how it works. In this session, we will examine these misconceptions and set the record straight. According to Gartner, organizations with data virtualization will spend 40% less on building and managing data integration processes for connecting distributed data assets, and 60% of all organizations on track to implement some sort of data virtualization by 2022. This solidifies data virtualization as a critical piece of technology for modern data architecture. Agenda: - Why Data Virtualization? And why now? - How Data Virtualization can turbocharge your enterprise data strategy - Typical use cases about Data Virtualization - Demystifying the misconceptions about Data Virtualization Our speakers bring years of experience launching data strategies, and they will share success stories and lessons learned. Learn how you can enhance the competitive edge for your business in this webinar hosted by Orion Innovation and Denodo. We look forward to seeing you online.

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

Watch full webinar here: https://buff.ly/2HMdbUp What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn: • What data virtualization really is, • How it differs from other enterprise data integration technologies • Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.

Advanced Analytics and Machine Learning with Data Virtualization (India)

Watch full webinar here: https://bit.ly/3dMN503 Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch this session to learn how companies can use data virtualization to: - Create a logical architecture to make all enterprise data available for advanced analytics exercise - Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice - Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc

Data Virtualization at Logitech = #Winning

Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...

Watch full webinar here: https://bit.ly/32jYpiD Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.

Data Architecture for Machine Learning

Unlock Data-driven Insights in Databricks Using Location Intelligence

Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data. Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to: - Simplify the complexity of location data and transform it into valuable insights - Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models - Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers - Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks

NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...

Enterprise 360 - Graphs at the Center of a Data Fabric

Data fabric architectures are used to simplify and integrate data management across business functions to accelerate digital transformation. Creating a data fabric is a way to develop a data-centric view of your business which results in an Enterprise 360 perspective based on trusted data. Industry analysts and vendors are increasingly finding that graph databases are a key enabling technology in support of Data Fabric architectures that deliver trusted data. During this on-demand webinar, we discuss how we help our customers implement a Data Fabric pattern using graph database technology in support of their key strategic objectives.

How can Insurers Accelerate Digital Transformation with Data Virtualization (...

Watch full webinar here: https://bit.ly/2Qpwqo9 Insurers’ globally are accelerating their digital journey, making rapid strides with their digitisation efforts, and adding key capabilities to adapt and innovate in the new normal. However, many insurance organisations find this transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernisation without downtime. Hear how peers in your industry are leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency. In this session, you will learn: - Industry key trends and challenges driving the digital transformation mandate - What is data virtualization, use cases, and how it can enable insurers to develop critical capabilities - Lessons from success stories of insurers who already use data virtualization to differentiate themselves from the competition, have a single view of all their data and a way to establish security controls across the entire infrastructure

Building Your Data Hub to Support Digital

As digital channels continue to grow, they drive greater diversity in our data landscape. At Yorkshire Building Society, our purpose is to provide real help with real life and this relies on data from a myriad of sources. This diversity creates a need for points of intersection, where data can unite to feed customer and business insights. How do we create these hubs of intersection and what can modern technology offer? Speaker: Mark Walters Lead Enterprise Data Architect for Data & Information Yorkshire Building Society

Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...

Data Virtualization for Compliance – Creating a Controlled Data Environment

CIT modernized its data architecture in response to intense regulatory scrutiny. In this presentation, they present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/CCqUeT.

Building Resiliency and Agility with Data Virtualization for the New Normal

Watch: https://bit.ly/327z8UM While the impact of COVID-19 is uniform across organisations in the region, a lot of how the organisation can recover from the impact and strive in the market would depend on their resiliency and business agility. An organisation’s data management strategy holds the key, as they tackle the challenges of siloed data sources, optimising for operational stability, and ensuring real time delivery of consistent and reliable information, irrespective of the data source or format. Join this session to hear why large organisations are implementing Data Virtualization, a modern data integration approach in their data architecture to build resiliency, enhance business agility, and save costs. In this session, you will learn: - How to deliver clear strategy for agile data delivery across the enterprise without pains of traditional data integration - How to provide a robust yet simple architecture for data governance, master data, data trust, data privacy and data access security implementation - all from single unified framework - How to deploy digital transformation initiatives for Agile BI, Big Data, Enterprise Data Services & Data Governance

Enabling Self-Service Analytics with Logical Data Warehouse

Watch full webinar here: https://buff.ly/2GNO8PC What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources. Attend this webinar to learn: * How easily new data sources can be made available for analytics and data science * How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion * How LDWs help integrate self-service analytics with classic forms of business intelligence

Talis Platform: A Linked Data Engine

Executive Whispering for Linked Data

Knud Möller

Linked Data and semantic technologies have seen a remarkable uptake in recent years. However, there is still a significant divide in organisations and companies between implementers and executive decision makers regarding the adoption of Linked Data. While implementers are early adopters, enthusiastic about new technologies, executives who decide whether or not new and potentially costly projects go ahead tend to be sceptical, thinking in terms of costs and benefits. What is needed to bridge this divide is a kind of “executive whispering”: presenting a potential Linked Data project not in terms of technology, but of the concrete benefits it will bring to a particular organisation or company. The talk draws from the significant experience of the Talis and Kasabi Consulting team.

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