Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Principal Sales Engineer, Denodo
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Pablo Alvarez, Director of Product Management, Denodo
Traditional operational tasks like installation, version upgrades, infrastructure scaling and cluster management has been radically transformed with the advent of cloud platforms, containers and orchestration systems. Denodo can take advantage of these environments to create an environment where infrastructure management is a thing of the past, with the goal of reducing operating costs and operating in a much more elastic fashion.
Attend this session to learn:
What are the new capabilities of Denodo 8 to manage your entire deployment
Infrastructure management in AWS and Azure
How to use Denodo in a Docker + Kubernetes environment
Ravi Shankar, SVP & Chief Marketing Officer, Denodo
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
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 spent 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.
Attend this webinar and learn:
* How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
* How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
* How you can use the Denodo Platform with large data volumes in an efficient way
* About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
Rick van der Lans, Independent Analyst, R20/Consultancy & Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
Success or failure in the digital age will be determined by how effectively organizations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernization of a data architecture must be seamless, and ideally, build on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
-How to modernize your data architectures without disturbing the existing analytical workload
-How to extend your data architecture to more quickly exploit existing, and new sources of data
-How to enable your data architecture to present more low latency data
Join this webinar and learn how data virtualization can be an essential part of your modernization strategy, and future-proof your data architecture to more easily support cloud, data science, self-service BI, and other initiatives that will ensure your organization’s success in the digital age.
Alberto Pan, Executive VP & CTO and Esha Deshpande, Sales Engineer
Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!
Attend this session to learn:
What’s the role of Denodo in an API strategy
Integration between Denodo and other elements of the API stack, like API management tools
How easy is to access Denodo as a RESTful endpoint
Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
Kannan Mahendramani, Senior Solution Architect, HCL & Alex Hoehl, Senior Director Partner Channel Sales APAC, Denodo
An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky.
Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions.
Content will include:
• Business use cases that highlight challenges and solutions that result in faster time-to-market and greater ROI.
• Suggested approaches to achieve extreme agility for competitive advantage.
If you are a BI or Analytics Manager, Data or Enterprise Architect, Cloud Architect, Data Manager, Data Scientist, CIO, CDO, CFO or anyone who manages data and its use, then this event will be of value to you.
Paul Moxon, VP Data Architecture and Chief Evangelist
'By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms' IDC FutureScape: Worldwide Cloud 2018 Predictions
More and more organization are adopting multi-Cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single Cloud provider, they often have data and applications spread across different Cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
Data Virtualization provides a data discovery and access layer that allows data users across the organization access the data that they need for their work - irrespective of whether the data is in a data center or in the Cloud - any Cloud! The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).
In this webinar, you will learn about:
- The challenges facing organizations as the adopt multi-Cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-Cloud data access layer
The use of Data Virtualization as a global delivery layer means that Denodo is a critical component of the data architecture. It cannot fail, needs to be fault tolerant and perform as designed. In this context, enterprise level-monitoring is key to make sure the virtual layer is in good health and proactively detect potential issues. Fortunately, Denodo provides a full suite of monitoring capabilities and integrates with leading monitoring tools like Splunk, Elastic and CloudWatch.
Attend this session to learn:
How to configure the key global parameters of the Denodo server
How to integrate Denodo with enterprise monitoring solutions like Splunk and Cloudwatch
Key metrics to monitor
Paul Moxon, Senior VP Data Architecture & Chief Evangelist, Denodo and Michael Dickson, Senior Sales Engineer, Denodo
Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In his whitepaper, renowned analyst Rick F. Van Der Lans talks about why decentralized multi purpose data lakes are the future of data analysis for a broad range of business users.
Please attend this session to learn:
- The restrictions of physical single purpose data lakes
- How to build a logical multi purpose data lake for business users
- The newer use cases that makes multi purpose data lakes a necessity
Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. Using Data Virtualization allows organizations to create a logical - or virtual data lake - without having to physically copy and centralize all of their data.
Attend this session to learn:
The restrictions of physical single purpose data lakes
How to build a logical data lake for all users - not just for data scientists
The newer use cases that makes logical data lakes a necessity
Pablo Alvarez-Yanez, Director of Product Management, Denodo
Digital Transformation, even though a cliche, is definitely on top of every CEO's strategic initiative list. At the heart of any digital transformation, no matter the industry or the size of the company, there is an API strategy. Application programming interfaces (APIs) are the connection points between one application and another, and as such, they enable applications to build on each other, extend each other, and work with each other. Taken together, APIs represent a thriving ecosystem of developers that is showing no sign of slowing down.
Attend this webinar to learn:
- How data virtualization greatly enhances the capabilities of an API
- How data virtualization works as a service container, as a source for microservices and as an API gateway
- How data virtualization can create managed data services ecosystems in a thriving API economy
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization to provide a secure, logical data layer. No longer does disparate data sources have to be physically moved to a data warehouse and transformed before it can be used by the business.
Attend this session to learn:
* What is data virtualization
* How it differs from other enterprise data integration technologies
* Why data virtualization is increasingly finding enterprise-wide * deployment inside some of the largest organizations
Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo
Digital transformation, as cliché as it sounds, is on top of every decision maker’s strategic initiative list. And at the heart of any digital transformation, no matter the industry or the size of the company, there is an application programming interface (API) strategy. While API platforms enable companies to manage large numbers of APIs working in tandem, monitor their usage, and establish security between them, they are not optimized for data integration, so they cannot easily or quickly integrate large volumes of data between different systems. Data virtualization, however, can greatly enhance the capabilities of an API platform, increasing the benefits of an API-based architecture. With data virtualization as part of an API strategy, companies can streamline digital transformations of any size and scope.
Join us for this webinar to see these technologies in action in a demo and to get the answers to the following questions:
- How can data virtualization enhance the deployment and exposure of APIs?
- How does data virtualization work as a service container, as a source for microservices and as an API gateway?
- How can data virtualization create managed data services ecosystems in a thriving API economy?
- How are GetSmarter and others are leveraging data virtualization to facilitate API-based initiatives?
Pablo Alvarez, Director Product Management, Denodo
A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business.
However, most of the emphasis in these initiatives is put on the IT side, Modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.
Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while avoiding many of the common pitfalls of other cataloging solutions.
Attend this session to learn:
* The role of the data catalog in a logical architecture
* How to incorporate the data catalog in the life of “citizen analysts”
* Best practices in documentation and metadata management
* Advanced usage of Denodo’s data catalog
Achieving Business Agility with Data Virtualization
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.