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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. Greater visibility and speed are core requirements for effective cybersecurity.

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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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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. For Connection name , enter a name (for example, olap-azure-synapse ). For Host name , if you installed the extraction agent on the same workstation as AWS SCT, enter 0.0.0.0 to indicate local host.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Then a query engine gets busy, with much happening under the covers: query history and stats inform various optimization strategies; indexes get used automagically; intermediate results get caches; algorithm variants are substituted, and so on. Upcoming events. Data-related events to mark on your calendars: spaCy IRL , Jul 5-6, Berlin.

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What Is Embedded Analytics?

Jet Global

Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. This strategy will ultimately increase sales, and prove a competitive advantage. If you host a SaaS application in the cloud, do not simply assess desktop tools or run analysis off a cleansed spreadsheet.