Tableau

To engage in proactive field maintenance and service delivery, The Company heavily invested in modern tools and technologies for telematics and predictive analytics. In addition, since The Company depends heavily on part data from the field for predictive analytics, it invested in field sensors and big data technology.All this data, captured several times an hour, is then streamed or transferred into a data lake. The company needed an agile data integration and access layer, one that can easily integrate big data with other sources of enterprise or cloud data in real time. Download this case...

In this interview, Tom Christian, Associate Solutions Consultant at Tableau discusses the release of the Tableau Denodo Connector in Tableau 10.4.Visit the Denodo DataFest 2017 page for details on all the sessions.

Data volumes are growing exponentially, and traditional, on-premise data warehouses are costly to scale. However, companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but companies are reluctant to migrate from legacy systems, since this would result in costly downtime.Download this Denodo and Snowflake Cloud Migration Solution Brief to learn about:Migrating to Snowflake from legacy on-premises sources or from another cloud source, with zero-downtime.Building the foundation for a logical data warehouse or logical...

Kyle Quass, BI Data Architect, Indiana University presents how to architect a universal semantic model - a common business definition layer that simplifies integration

Alex Rosenthal, Head of EDO and Big Data Technologies, Guardian Life presents how to create a data abstraction layer so that business users are insulated from underlying system changes.

Tom Christian, Solutions Consultant, Tableau explains the importance of self-service BI and the ability to find the data you are looking for.

Leveraging Data Virtualization To Avoid Cloud PitfallsCompanies are rapidly moving from desktop apps to cloud-based apps, and they’re moving data from physical data centers to cloud-based repositories. These trends show no signs of slowing down; IDG predicts that by 2018, the typical IT department will house most of its apps and platforms in the cloud. Unfortunately, both app migrations and data migrations are fraught with challenges, and companies will need to overcome these challenges if they hope to take full advantage of cloud benefits. 

In this video, Dan Young, Chief Data Architect at Indiana University, discusses how they used data virtualization to improve their decision-making across the university.

Ultra Mobile Offers Best-in-Class Customer Service While Keeping the Rapid Pace of User Base and Profitability Growth Intact, Using the Denodo Platform Ultra Mobile’s business users needed to answer questions such as “Where will the next phase of growth come from?” or “How do we best retain our customers?” Unfortunately, their business intelligence and reporting solution could not keep pace as quickly as the business evolved.The solution needed to present data in a consistent, single view, as the blending and federation of data in the BI tool was not mature. Download this case study to learn...

Realizing the Promise of Self-Service AnalyticsSelf-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Download this solution brief to learn more about the following:How fragmented data is seamlessly unified.How a high-maintenance data integrations are replaced by a single, low-maintenance data virtualization layer.How data delays are virtually eliminated, as data can be accessed in real time.How data integrity is preserved.How data lineage is fully traceable....