Precisely

JANUARY 29, 2025

Key Takeaways: Modernizing your Precisely Automate environment ensures compatibility with the latest SAP technologies, supports multiple interfaces like SAP Fiori and GUI for HTML, and enhances efficiency Upgrading from legacy systems like Foundation and Studio with Connect boosts security, reduces costs, and unlocks advanced features like AI-powered autocomplete and cloud-hosted solutions.

Government 64

Government Process Cloud Algorithm 64

Snowflake

JANUARY 29, 2025

We are excited to bring DeepSeek-R1 to Snowflake Cortex AI! As described by DeepSeek , this model, trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT), can achieve performance comparable to OpenAI-o1 across math, code and reasoning tasks. Based on DeepSeeks posted benchmarking, DeepSeek-R1 tops the leaderboard among open source models and rivals the most advanced closed source models globally.

Unstructured Data 96

Unstructured Data SQL Python Government 96

Monte Carlo

JANUARY 29, 2025

As every organization seemingly races to adopt AI, we can learn a lot from early use cases and success stories. But it may be even more valuable to hear about and learn from the challenges of implementing enterprise AI products. Recently, we sat down with the data science team at a major media company to discuss exactly that. We talked about their plans for GenAI and the challenges theyve encountered as they incorporate large language models (LLMs) into their data products while prioritizing

Media 52

Media Data Science Datasets Raw Data 52

KDnuggets

JANUARY 29, 2025

Code smarter, not harder with Qwen 2.5.

Coding 107

Coding 107

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

ArcGIS

JANUARY 29, 2025

Explore severe weather patterns using the Space Time Kernel Density tool in ArcGIS Pro's Spatial Analyst extension.

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KDnuggets

JANUARY 29, 2025

Looking for efficient data wrangling in Rust? Polars offers fast, memory-safe tools for tasks like filtering, joining, and aggregating data.

Aggregated Data 78

Aggregated Data Data 78

Tweag

JANUARY 29, 2025

A bit more than one year ago, Tweag announced our open-source, universal formatting engine Topiary , based on the tree-sitter ecosystem. Since then, Topiary has been serving as the official formatter (under the hood) for the Nickel configuration language. Topiary also supports a bunch of other languages (CSS, TOML, OCaml, Bash) and we are seeing people trying it out to support even more languages such as Catala , Nushell , Nix , and more.

Programming Language 101

Programming Language Coding Programming Python 101

Cloudyard

JANUARY 29, 2025

Read Time: 2 Minute, 23 Second One of the most common tasks is exporting data from cloud platforms like Snowflake and saving it in formats like CSV for further analysis or sharing with stakeholders. While Snowflake offers powerful tools for querying and manipulating data, exporting it in a user-friendly format requires a bit more effort. In this blog post, we’ll dive into a practical solution that leverages both Snowflake and Streamlit to build an intuitive data export application.

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Database Data SQL Cloud 52

WeCloudData

JANUARY 29, 2025

In the age of AI, Fine Tuning Large Language Models (LLMs) like have revolutionized how businesses operate. These LLMs can generate human-like text, analyze vast datasets, and support complex decision-making. But not all companies can use off-the-shelf LLMs directly. This is where fine-tuning comes in, allowing businesses to customize LLMs for their specific needs.

IT 52

IT Datasets Data Science Data 52

Edureka

JANUARY 29, 2025

Imagine monitoring your business’s development over time without having to perform intricate Excel spreadsheets or calculations yourself. This process runs smoothly with the help of time intelligence functions in Power BI. Measures like Year-to-date (YTD), Month-to-Date (MTD), and Quarter-to-Date (QTD) can be created with a few clicks, improving your analysis.

BI 52

BI Datasets Certification Data Analysis 52

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

Edureka

JANUARY 29, 2025

Data Cleaning is very important for correct analysis and the performance of the model. Wrong data, like names spelled wrong, values not present, or records that aren’t correct, can make it hard to draw the right conclusions. Inconsistencies like negative sales or empty revenue fields, for instance, can throw off figures and trends. Cleaning data makes sure it is consistent, accurate, and in the right style, which stops mistakes and raises the quality of insights.

Python 52

Python Datasets Machine Learning Raw Data 52

Edureka

JANUARY 29, 2025

The Group By in Power BI lets you effectively Group and summarize an enormous number of associated data items. These include use cases such as sales analysis in regions, calculation of averages, identification of trends, and other functions that can turn a portion of huge datasets into actionable insights. This blog elaborates on the Group By functionality in Power Query and DAX , covering both the basic and advanced approaches.

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BI Aggregated Data Datasets Data Analysis 52