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Story

Microsoft Azure@Tripadvisor

Tripadvisor Brings Analytics Hosting onto Microsoft Azure

Tripadvisor, a consumer discretionary organization in the United States, uses Microsoft Fabric from Microsoft Azure to support data platform operations for data engineers.

Shared Microsoft Fabric workspaces help Tripadvisor keep data platform operations honest across teams.

“Consumer Discretionary work at Tripadvisor spans more than one site, even when headquarters sits in the United States.”
“Data engineers asked for a shared way to run data platform operations without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityHandoffs in data platform operations sit in a shared queue instead of a mailbox trail
Risk and complianceMicrosoft Fabric is the governed place data engineers use for data platform operations
InsightFewer stalled items because analytics hosting has a clear owner

Story

Consumer Discretionary work at Tripadvisor spans more than one site, even when headquarters sits in the United States. Analytics hosting was splitting across regional habits. Data engineers asked for a shared way to run data platform operations without freezing local judgment.

Microsoft Azure (Microsoft Fabric) is what they standardized on. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. Tripadvisor uses it as the system of record for analytics hosting, with data engineers as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Value Graph

Tripadvisor uses Microsoft Azure, Cisco, MongoDB, Qlik, Siemens Digital Industries Software, Pega, GitLab, OpenText, PagerDuty, Stripe, SAS. Shared with Fujitsu, Hexagon, Krones AG, SPAR Holding BV, Teladoc Health. Industry: Consumer Discretionary. Value: Productivity, Risk and compliance, Insight. Drag nodes, filter types, or expand a node to follow more commonalities.

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