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Anatomy of a Polars Query: A Syntax Comparison of Polars vs SQL

Transitioning from Pandas to Polars the easy way — by taking a pit stop at SQL.Continue reading on Towards Data Science » Transitioning from Pandas to Polars the easy way — by taking a pit stop at SQL.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks…

How to Store and Query 100 Million Items Using Just 77MB with Python Bloom Filters

Perform lightning-fast, memory efficient membership checks in Python with this need-to-know data structureContinue reading on Towards Data Science » Perform lightning-fast, memory efficient membership checks in Python with this need-to-know data structureContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All…

QueryGPT — Harnessing Generative AI To Query Your Data With Natural Language.

A prototype tool powered by Large Language Models to make querying your databases as easy as saying the word.Continue reading on Towards Data Science » A prototype tool powered by Large Language Models to make querying your databases as easy as saying the word.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

Advanced Query Transformations to Improve RAG

Different approaches to query transformationsContinue reading on Towards Data Science » Different approaches to query transformationsContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do…

Understand Data Warehouse: Query Performance

Deciphering SQL Query Performance: A Practical Analysis in Data Warehousing and Database Management SystemsPhoto by Manuel Geissinger on PexelsUnlike Python and other imperative programming languages, which require the explicit detailing of algorithms in a step-by-step manner to optimize, SQL is a declarative programming language that focuses not on the sequence of operations, but rather on expressing the logic of what you want to achieve. How a query is executed in the database depends on the database system itself,…

5 More Snowflake Query Tricks You Should Be Using

Even fewer lines, and faster execution time, and some NLPContinue reading on Towards Data Science » Even fewer lines, and faster execution time, and some NLPContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner…

Demystifying GQA — Grouped Query Attention

Demystifying GQA — Grouped Query Attention for Efficient LLM Pre-trainingThe variant of multi-head attention powering LLMs like LLaMA-2, Mistral7B, etc.A “Group” of Llamas (Source — Image created by the author using Dalle-3)In the previous article on training large-scale models, we looked at LoRA. In this article, we will examine another strategy adopted by different large language models for efficient training — Grouped Query Attention (GQA). In short, Grouped Query Attention (GQA) is a generalization of multi-head…

Converting a flat table to a good data model in Power Query

When loading a wide Excel table into Power BI, we end up with a suboptimal Data model. What can we do to create a good Data model?Continue reading on Towards Data Science » When loading a wide Excel table into Power BI, we end up with a suboptimal Data model. What can we do to create a good Data model?Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the…

Google extends timeout duration for BigQuery and looker, empowering users with longer query times

Image Source : FILE Google enhances the media browsing experience with a new media viewer for Google Chat on Android Google has recently introduced an enhanced media viewer for Google Chat on Android devices, aiming to enhance the browsing experience for users. The update brings several improvements to the media viewer, including faster opening of media thumbnails in…

Improving Query Performance in Snowflake and Its Related Costs

In the previous article, we understood how to Optimally Use Snowflake Warehouse and Tables. So let’s continue this blog series, where we will now focus on improving the performance in Snowflake and its associated costs. As we know, Snowflake tables are micro-partitioned, which significantly improves query performance. However, over time, you may experience slowness in queries due to increased DML operations on large datasets.  In such cases, you can cluster the table or use the search optimization service to improve…