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COVID-19 stands out as the largest and most widespread disease outbreak we’ve had to confront. Let’s look back into history to see how outbreaks in the past gave rise to practices that still inform how we manage and understand diseases today.

Before COVID-19, the biggest challenge facing many communities across the U.S.—including Tableau’s home of Seattle—was homelessness. The number of people experiencing homelessness on a given night has risen for the past several years, due to a range of factors from housing unaffordability to poverty.

Tableau Foundation and Community Solutions have been working together since 2016 to measurably reduce—and ultimately end—homelessness in communities across the U.S. Through a new $2 million commitment from Tableau Foundation, we’re accelerating the use of data to drive toward an end to homelessness by improving coordination across services and support organizations.

For those that want to contribute to the conversation or educate yourself further, we’ve compiled several resources on the complexities of the data and the context surrounding it. Here's what you should know.

Discover all the capabilities of this spiritual successor to Extract API 2.0.

Data lakes store raw data without defining a schema before loading it, making it easier to collect raw data from multiple systems. Because the data is centralized, organizations are able to utilize best-in-class and cost-optimized approaches to analytics. This is why InCrowd Sports decided to leverage a cloud-based data lake architecture for their analytics needs, employing Dremio and Tableau.

Ces trois dernières années, Jones Lange LaSalle (JLL) a développé une culture data. Cette culture a aidé la société à faire face rapidement et efficacement à l'épidémie de COVID-19. Les investissements réalisés en matière d'analytique des données ont généré un ROI de 40 millions $, ce qui a permis à la société de rationaliser les frais de conformité, de réduire les coûts et de générer des revenus supplémentaires par le biais de nouvelles initiatives.

Learn more about the predictive modeling functions coming with Tableau 2020.3 that allow you to generate predictions and surface relationships in your data.

In June, we highlighted updates from the Hyper API teams and showcased a few solutions that our developer community entered in the latest Dev Site Mini Challenges.

L'épidémie de COVID-19 a poussé les entreprises à repenser l'organisation des espaces de travail physiques. Elles doivent revoir la disposition des bureaux, l'utilisation des salles de réunion et la circulation dans les espaces communs du point de vue de la santé et de la sécurité des collaborateurs. Cet article de blog aborde quatre aspects qui vous aideront à définir votre stratégie de reprise des activités.

Experian built its COVID-19 Risk Index dashboard in Tableau to better assess the pandemic's impact on small businesses by geographic area.

Iron Viz—the ultimate data competition—is back for 2020 and the prizes are bigger than ever!