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Espresso AI: Q&A mit Mathias Golombek, CTO bei Exasol

Data Science Blog

Über Exasol-CEO Martin Golombek Mathias Golombek ist seit Januar 2014 Mitglied des Vorstands der Exasol AG. Durch die Ausführung von ML-Modellen direkt in der Exasol-Datenbank können sie so die maximale Menge an Daten nutzen und das volle Potenzial ihrer Datenschätze ausschöpfen.

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Top 5 Use Cases of phData’s Data Source Tool

phData

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. This search for efficiency led us to create the Data Source tool, which is part of the phData Toolkit.

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Top 5 Use Cases of phData’s Advisor Tool

phData

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In late 2021, Power BI introduced custom SQL queries to Snowflake using DirectQuery.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. In contrast, such traditional query languages struggle to interpret unstructured data. This text has a lot of information, but it is not structured.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Generative AI Generative AI is another crucial skill for the role of prompt engineering, as it encompasses the core ability to leverage AI to create new content, whether it be text, images, or other forms of media. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation. The Data Tab was added in v8.2 Visual encoding innovation.

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