data lakes

Showing 1 - 10 of 22 pages tagged with: data lakes

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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Partner Solution Brief: Fusion Alliance and Denodo

Combining state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.Working together, Fusion Alliance and Denodo use data virtualization to unlock your deeply buried data, make it available to business users, and help your organization become data-driven.

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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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Logical Data Fabric Powered by Data Virtualization: An Overview

According to a recent Forrester survey, while 85% of organizations want to improve their use of data insights in their decision making, 91% of the respondents report that they are not able to improve upon their data-driven decision making.The problem - organizations often turn to the data lakes, data lake houses, cloud data warehouses etc. as their monolithic data repository, for all of their data and analytics needs. But the hard reality is that data is and will be spread across multiple repositories that extend across cloud and regional boundaries.Attend this webinar to gain key insights on...

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Is Data Virtualization for Operationalizing Data Lakes the Real Deal?

Podcast Guest: Saptarshi Sengupta, Senior Director of Product Marketing, Denodo

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Data Lakes: A Logical Approach for Faster Unified Insights

Data lakes and data warehouses offer organizations centralized data delivery platforms. The recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans,...

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Rapidly build and deploy APIs on your enterprise data with Data Virtualization

Last November, Denodo participated in the API Belgium 2021 event in Brussels. Our pre-sales engineer Emily Sergent had the opportunity to give a unique session about APIs and data virtualization.Watch this recording to find out how building APIs on heterogeneous back-end data sources can be simple and require no heavy custom development with Denodo's Data Virtualization platform. Learn how to rapidly build and deploy standardized RESTful, OData and GraphQL APIs with low code/no code simplicity on any data source, from relational databases to cloud and on-premises data lakes, legacy systems to...

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Logical Data Fabric to the Rescue: Integrating Data Warehouses, Data Lakes, and Data Hubs

Data warehouses were introduced to offer one integrated view of all the enterprise data spread across numerous isolated transactional systems. Now, organizations are struggling with a myriad of new data architectures that also try to offer some integrated view of the data to all business users and data scientists, such as data lakes, data hubs, data lakehouses.For business users, this is far from ideal. If they need data where should they get it from and how to integrate it? Especially now, that organizations want to become more data-driven, frictionless access to data is crucial.A popular...

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TDWI Solution Spotlight: Calling all Data Scientists - Simplify Data Science and Advanced Analytics using Logical Data Fabric

Data scientists have three requirements for efficiently performing data science and advanced analytics: (1) access to wide-ranging enterprise data, (2) flexible modeling, and (3) easy data preparation. It is easier if all the data is normalized and stored in a single repository, but, in reality, data is stored across multiple systems and applications on premises or in the cloud, in diverse formats—structured, unstructured, and semistructured, and in different latencies—at rest or in motion.Logical data fabric powered by data virtualization promises to provide access to all enterprise data in...

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