You are here


Showing 1 - 10 of 21 pages tagged with: Packed Lunch Webinar Series
Innovative Data Strategies for Advanced Analytics Solutions and the Role of Data Virtualization
Data is fueling a new digital economy and compelling companies to rapidly adopt modern technologies such as Machine Learning, AI and Cognitive Science.  Consequently, assembling the right blend of data from disparate sources using agile and flexible techniques like logical data warehousing to create purposeful, accessible insights is one of the greatest strategic tasks before us.To address the challenges associated with advanced analytics solutions, Neudesic uses a best-fit-engineering approach to enable enterprises to utilize the right tools for the right job to maximize their data and...
The Role of Data Virtualization in an API Economy
Digital transformation, even though a cliché, 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:
From Single Purpose to Multi Purpose Data Lakes - Broadening End Users
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 recent 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:
Self-Service Analytics with Guard Rails
Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy. Attend this session to learn why data virtualization: 
Big Data Fabric: A Necessity For Any Successful Big Data Initiative
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users. Attend this session to learn how big data fabric enabled by data virtualization:
A Successful Journey to the Cloud
By 2020, a corporate "no-cloud" policy will be as rare as a "no-internet" policy is today, according to Gartner, Inc. While cloud makes enterprises more flexible and agile, various cloud adoption scenarios such as hybrid cloud, infrastructure modernization and cloud based analytics present a few challenges of their own.Attend this session to learn:Challenges involved with various cloud adoption scenariosHow data virtualization solves cloud adoption challenges while centralizing data governance and security mechanismHow companies are using data virtualization to tackle complex modern customer...
Self-Service Information Consumption Using Data Catalog
Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.Attend this session to learn:
In Memory Parallel Processing for Big Data Scenarios
Denodo Platform offers one of the most sought after data fabric capabilities through data discovery, preparation, curation and integration across the broadest range of data sources. As data volume and variety grows exponentially, Denodo Platform 7.0 will offer in-memory massive parallel processing (MPP) capability for the most advanced query optimization in the market.Attend this session to learn:
Why Data Virtualization? An Introduction
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 isHow it differs from other enterprise data integration technologiesWhy data virtualization is finding enterprise-wide deployment inside some of the largest organizationsVisit the Packed Lunch Webinar Series page for details on all the sessions.
Evolving From Monolithic to Distributed Architecture Patterns in the Cloud
Gartner states in its Predicts 2018: Data Management Strategies Continue to Shift Toward Distributed,“As data management activities are becoming more widespread in both distributed processing use cases, like IoT, and demands for new types of data, emerging roles such as data scientists or data engineers are expected to be driving the new data management requirements in the coming two years. These trends indicate that both the collection of data as well as the need to connect to data are rapidly becoming the new normal, and that the days of a single data store with all the data of interest —...