Remove 2018 Remove Data Modelling Remove Visualization
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AI in Analytics: The NLQ Use Case

Sisense

NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors. Last, and still a very painful challenge for most users, is the familiarity with the underlying data and data model. Machine Intent vs. User Intent.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

Tableau lets you visualize and explore all of your data without having to write code or premeditate your vizzes and dashboards. We also reached some incredible milestones with Tableau Prep, our easy-to-use, visual, self-service data prep product. Read the 2021 report for Gartner analysis.

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The Best Fivetran Alternatives in 2024

Astera

The platform is built on an industrial strength ETL/ELT engine that can easily process large volumes of data, delivering analysis-ready data for decision-making. With Astera, you get: A visual drag-and-drop interface that allows users to easily build data pipelines within minutes.

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Top 9 Reverse ETL Tools and How to Choose The Right Tool for Your Organization

Astera

Allows the automation of data pipeline creation and accelerates data delivery 3. Stitch Stitch was originally a self-service cloud dat a integration solution and was acquired by Talend in 2018. Key Features of Census Census offers high-speed connectors and supports large-volume data transfer.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

Tableau lets you visualize and explore all of your data without having to write code or premeditate your vizzes and dashboards. We also reached some incredible milestones with Tableau Prep, our easy-to-use, visual, self-service data prep product. Read the 2021 report for Gartner analysis.

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Best of the Tableau Web: June 2021

Tableau

In blogs this month, past winners shared their ideas, including Joshua Smith (2019 co-champion) and Sarah Bartlett (2018 finalist). Keith Dykstra, InterWorks : Pivoting Without Changing Granularity: A New Use for Tableau’s Relational Data Model. Beth Kairys, InterWorks : Date Comparisons in Tableau, Part 2: Visualization.

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Structured Vs. Unstructured Data

The BAWorld

Variety in Data. IDC predicts that the Global Data sphere will grow from 33 Zettabytes (ZB) in 2018 to 175 ZB by 2025! We generate enormous amounts of a variety of data every day. This is a classic example of structured data and can be efficiently managed through a database. Unstructured Data.