Wed.Jan 15, 2025

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A Gentle Introduction to Rust for Python Programmers

KDnuggets

Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.

Python 138
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Event time skew and global watermark in Apache Spark Structured Streaming

Waitingforcode

A few months ago I wrote a blog post about event skew and how dangerous it is for a stateful streaming job. Since it was a high-level explanation, I didn't cover Apache Spark Structured Streaming deeply at that moment. Now the watermark topic is back to my learning backlog and it's a good opportunity to return to the event skew topic and see the dangers it brings for Structured Streaming stateful jobs.

IT 130
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Exploring Multilingual LLMs with Aya Expanse

KDnuggets

Read this to understand the most advanced open source multilingual model.

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Unlocking the Power of Geospatial Data for Insights

Snowflake

Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool.

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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Answer Data Questions for Non-Technical Stakeholders

KDnuggets

In this article, I will go through key elements that will help you answer data questions for your non-technical audience with ease.

Data 91

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The Emerging Role of AI Data Engineers - The New Strategic Role for AI-Driven Success

Data Engineering Weekly

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? How does a self-driving car understand a chaotic street scene? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

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Introducing Analyst Studio: Where analysts become business catalysts

ThoughtSpot

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, theyve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems.

BI 64
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Unlocking the Power of Geospatial Data for Insights

Snowflake

Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool.

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Snowflake PARSE_DOC Meets Snowpark Power

Cloudyard

Read Time: 2 Minute, 33 Second Snowflakes PARSE_DOCUMENT function revolutionizes how unstructured data, such as PDF files, is processed within the Snowflake ecosystem. 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.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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How Uber Uses Ray® to Optimize the Rides Business

Uber Engineering

Large-scale computation is a major back end and infrastructure challenge for Uber to solve as we scale. We applied a compute engine called Ray in Ubers marketplace to improve computation efficiency and engineering productivity.

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2024: A Year of Structural Transformation

DareData

DareData will close 2024 with a 5% revenue growth compared to 2023. At first glance, given the rapid growth in our market, one might be tempted to classify this year as underwhelming. However, 2024 has been a transformative year for us. We started the year as a 100% consulting business. Consulting is highly dependent on people, and in small boutique firms like ours, this often means being heavily reliant on the partners.

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Adding an AI agent to your data infrastructure in 2025

Sync Computing

Imagine a world where you could simply tell your data infrastructure what you want it to achieve, rather than meticulously configuring every detail. This is precisely what Jeff Chou, Co-founder and CEO of Sync, discussed in the latest daily.dev webinar. This innovative concept is being made real through Gradient, the AI agent for data infrastructure from Sync.