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Automate Data Workflows with the New Sisense Data Model APIs

Sisense

Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”

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Building Data Models to Empower Self-Service Users

Sisense

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Picking a direction for your data model. Think like a designer. However, just asking your users, “What do you want?”

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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Domo Named to Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms and ShortList for Embedded Analytics

Domo

The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList. All shortlisted vendors were determined through Constellation’s client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research. “The

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Domo Receives Multiple Awards in 2023 Ventana Research Buyers Guides

Domo

SILICON SLOPES, Utah — Today Domo (Nasdaq: DOMO) announced it has been recognized in several 2023 Ventana Research Buyers Guides, including being named as an Overall Leader in the Buyers Guide for Collaborative Analytics.

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

In fact, Dan DeMers, CEO of enterprise data collaboration platform provider Cinchy, has gone so far as to call it “the first real evolution of data since the relational database appeared in the 1970s.”

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Transforming Big Data into Actionable Intelligence

Sisense

Referring to the conceptual “edge” of the network, the basic idea is to perform machine learning (ML) analytics at the data source rather than sending the sensor data to a cloud app for processing. The pressure to adopt the edge computing paradigm increases with the number of sensors pouring out data.