Data Studio Archives - Qubika https://qubika.com/blog/tag/data-studio/ Thu, 29 May 2025 01:27:27 +0000 en-US hourly 1 https://qubika.com/wp-content/uploads/2024/10/qubika-fav-120x120.png Data Studio Archives - Qubika https://qubika.com/blog/tag/data-studio/ 32 32 Snowflake vs. Databricks: Choosing the right platform for data storage and analytics https://qubika.com/blog/snowflake-vs-databricks/ Fri, 27 Dec 2024 14:31:18 +0000 https://qubika.com/?p=1749 Discover the key differences between Snowflake and Databricks to find the ideal platform for your data storage, analytics, or machine learning needs.

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Unleashing the power of lakehouse-based AI with Databricks https://qubika.com/blog/databricks-data-summit/ Sun, 29 Sep 2024 19:39:44 +0000 https://qubika.com/?p=1241 Databricks' Data + AI Summit 2024 showcased Databricks' commitment to advancing the lakehouse approach, revealing a host of features and tools designed to empower organizations to build and deploy ever-more mature AI solutions.

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Automating data visualization for a global streaming giant https://qubika.com/blog/automating-data-visualization/ Thu, 18 Apr 2024 16:13:49 +0000 https://qubika.com/?p=1168 By implementing an automated data visualization system we're able to convert complex data logs into actionable insights. This automation not only saved dozens of hours per week but also enhanced the company's capacity for strategic analysis.

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Victory in the stars: How Qubika’s data teammates won a NASA hackathon https://qubika.com/blog/how-qubikas-data-teammates-won-a-nasa-hackathon/ Tue, 12 Dec 2023 18:10:03 +0000 https://qubika.com/?p=919 We interviewed two of our Data Studio members to learn more about their experiences in competing and winning the NASA Space Apps Challenge.

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The multidisciplinary approach to building AI products https://qubika.com/blog/the-multidisciplinary-approach-to-building-ai-products/ Wed, 25 Oct 2023 16:56:38 +0000 https://qubika.com/?p=862 Read about why it is essential to incorporate different types of data and machine learning roles when building AI products.

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