Data Science

Showing 1 - 10 of 17 pages tagged with: Data Science

Accelerate Migration to the Cloud using Data Virtualization

Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources can be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points.Data virtualization enables companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.Tune in to this session to discover:How Denodo Platform's multi-location architecture can simplify and accelerate cloud migrationBest practices for deploying the Denodo Platform in the cloudHow you can leverage...

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How Can You Accelerate AI/ML Initiatives?

Presented at World AI & RPA Show, MalaysiaTo support machine learning, many organizations leverage data lakes, as they can collect large volumes of data from multiple sources, including structured and unstructured sources, and store the data in its original format. However, storing data in different formats does not necessarily facilitate discovery, as data in different formats must first be integrated before it can be leveraged for machine learning. Due to the increasingly distributed nature of data infrastructure in today’s enterprises, data integration gets more complex.Data...

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Empowering Analytics and Data Science with the Denodo Platform

To harmonize the DNB data landscape, improve the productivity of data analytics users, and leverage the latest data science use cases, DNB implemented the Denodo Platform as a data marketplace for the data science team.

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Delivering Analytics at The Speed of Transactions with Data Fabric

Presentation by Noel Yuhanna, VP, Principal Analyst at Forrester.

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Product Demonstration: Building a Logical Data Fabric using Data Virtualization

Chris Day, Director, APAC Sales Engineering for Denodo, gives a product demonstration of the Denodo Platform to show some of the capabilities that data virtualization can deliver when talking about logical data fabric.Watch full webinar here.

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The Rise of Logical Data Architecture - Breaking the Data Gravity Notion (Middle East)

As leading industry analysts Gartner suggest, considering the increasing volume of data to be managed nowadays inside the organizations, it is time to stop “collecting” the data into a central repository and start “connecting” to the data at the sources. The rise of new data architectures paradigms, as the Logical Data Fabric, facilitates this approach by gaining a virtual view of the data.With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a...

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Building a Logical Data Fabric using Data Virtualization (ASEAN)

In the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value....

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Data Science Operationalization: The Journey of Enterprise AI

As we move into a world driven by AI initiatives, we find ourselves facing new and diverse challenges when it comes to operationalization. Creating a solution and putting it into practice, is certainly not the same. The challenges span various organizational and data facades. In many instances, the data scientists may be working in silos and connecting to the live data may not always be possible. But how does one guarantee their developed model in a silo is still relevant to live data? How can we manage the data flow and data access across the entire AI operationalization cycle?Join us to...

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Augmentation, Collaboration, Governance: Defining the Future of Self-Service BI

According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes...

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Advanced Analytics and Machine Learning with Data Virtualization (Australia)

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Even with a wide array of tools and technologies at their disposal, data scientists are still spending most of the time massaging and manipulating the data into a usable data asset.Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch on-demand this session to learn how companies can use data virtualization to:Create a logical architecture to make all enterprise data available for advanced analytics...

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