Remove Dashboards Remove Data Processing Remove Events Remove OLAP
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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other. You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. to indicate local host. Choose Create IAM role as default.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Poshmark wanted to address the following business use cases via the real-time analytics platform: Sessionization – Poshmark captures both server-side application events and client-side tracking events. They wanted to use these events to identify and analyze user sessions to track behavior. The event data format is nested JSON.

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Closing the breach window, from data to action

IBM Big Data Hub

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. QRadar Log Insights rapidly ingests, analyzes and presents data in interactive, built-in dashboards designed by cybersecurity experts.

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Data Model Development Using Jinja

Sisense

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Live models run queries directly against the data source.

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What Is Embedded Analytics?

Jet Global

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. Yes—but basic dashboards won’t be enough. These users interact with dashboards and reports as well as personalized views of the information.