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Fast Analytics On Semi-Structured And Structured Data In The Cloud

Data Engineering Podcast

Summary The process of exposing your data through a SQL interface has many possible pathways, each with their own complications and tradeoffs. One of the recent options is Rockset, a serverless platform for fast SQL analytics on semi-structured and structured data.

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Accelerate AI Development with Snowflake

Snowflake

Deliver multimodal analytics with familiar SQL syntax Database queries are the underlying force that runs the insights across organizations and powers data-driven experiences for users. Traditionally, SQL has been limited to structured data neatly organized in tables.

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Snowflake PARSE_DOC Meets Snowpark Power

Cloudyard

Traditionally, this function is used within SQL to extract structured content from documents. However, Ive taken this a step further, leveraging Snowpark to extend its capabilities and build a complete data extraction process. Apply advanced data cleansing and transformation logic using Python. Why Use PARSE_DOC?

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Microsoft Fabric vs. Snowflake: Key Differences You Need to Know

Edureka

The alternative, however, provides more multi-cloud flexibility and strong performance on structured data. Its multi-cluster shared data architecture is one of its primary features. Ideal for: Fabric makes the administration of data lakes much simpler; Snowflake provides flexible options for using external lakes.

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Best of 2022: Top 5 PropTech Blog Posts

Precisely

High quality data and analytics helps PropTech companies gain deeper context on properties and locations, build richer models with accurate information, and more. Let’s further explore the impact of data in this industry as we count down the top 5 PropTech blog posts of 2022. #5

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Data Engineering Weekly #207

Data Engineering Weekly

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

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Top 10 Data Engineering & AI Trends for 2025

Monte Carlo

As training data becomes more scarce, companies like OpenAI believe that synthetic data will be an important part of how they train their models in the future. But is synthetic data a long-term solution? Probably not.