Precisely

JANUARY 27, 2025

New year, new data-driven opportunities to unlock. In 2025, its more important than ever to make data-driven decisions, cut costs, and improve efficiency especially in the face of major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. But overcoming these obstacles is easier said than done, as evidenced by key findings from the 2025 Outlook: Data Integrity Trends and Insights report, published in partner

Data Integration 59

Data Integration Data Governance Government Data Programming 59

Towards Data Science

JANUARY 27, 2025

How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard.

Building 53

Building Datasets Coding Data 53

Edureka

JANUARY 27, 2025

What is a Red Team? Imagine you’re a company with a solid cybersecurity setup, but how do you know it can withstand a real cyberattack? This is where a Red Team comes in. Red Teams are cybersecurity professionals who simulate real-world attacks to test an organization’s security. Their goal is to find vulnerabilities that could be exploited by actual hackers, helping companies identify weak spots and improve their defenses.

Certification 52

Certification Media Education Programming 52

Snowflake

JANUARY 27, 2025

People often ask me, Why did you join Snowflake, and why did you choose to work on developer productivity? I joined Snowflake to learn from world-class engineers and be part of the highly collaborative culture. These have been the secret sauce to Snowflakes rocket-ship growth. Snowflake was embarking on a remarkable transformation of developer productivity, and I had to jump on the rocket ship as it was taking off!

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Programming Language Coding Cloud Systems 85

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

Manufacturing

Lyft Engineering

JANUARY 27, 2025

Written by Shima Nassiri and IdoBright Network Effect At Lyft, we run various randomized experiments to tackle different measurement needs. User-split experiments account for 90% of the randomized studies due to the higher power and fit for most use cases. However, they are prone to interference or network bias. In a multi-sided marketplace, there is no such thing as a perfect balance of supply and demand and one side of the market is congested: if we have oversupply, we can run rider-split expe

Retail 43

Retail Designing IT Engineering 43

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

WeCloudData

JANUARY 28, 2025

Have you noticed how Siri understands your request effortlessly and how Netflix seems to know exactly what you’ll want to watch next? These simple interactions are not magic or coincidence, but are the common application of Artificial Intelligence. AI influences every aspect of our lives. We interact with it every day, whether during exercise, work, […] The post What is Artificial Intelligence (AI)?

IT 52

IT Machine Learning Data Science Data 52

Precisely

JANUARY 30, 2025

Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Integrate data governance and data quality practices to create a seamless user experience and build trust in your data.

Data Governance 103

Data Governance Government Metadata Data 103

Sync Computing

JANUARY 27, 2025

The global data landscape is experiencing remarkable growth, with unprecedented increases in data generation and substantial investments in analytics and infrastructure. According to data from sources like Network World and, G2 the global datasphere is projected to expand from 33 zettabytes in 2018 to an astounding 175 zettabytes by 2025, reflecting a compound annual growth rate (CAGR) of 61%.

AWS 52

AWS Data Lake Machine Learning Big Data 52

Start Data Engineering

JANUARY 28, 2025

1. Introduction 2. Centralize Metric Definitions in Code Option A: Semantic Layer for On-the-Fly Queries Option B: Pre-Aggregated Tables for Consumers 3. Conclusion & Recap 4. Required Reading 1. Introduction If youve worked on a data team, youve likely encountered situations where multiple teams define metrics in slightly different ways, leaving you to untangle why discrepancies exist.

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Utilities Coding Data 147

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

Data Engineering

Towards Data Science

JANUARY 30, 2025

Building more efficient AI TLDR : Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST to classify handwritten digits. Best runs for furthest-from-centroid selection compared to full dataset. Image byauthor. What if I told you that using just 50% of your training data could achieve better results than using the fulldataset?

Database-centric 106

Database-centric Datasets Data Architecture 106

Snowflake

JANUARY 30, 2025

Across all industries, generative AI is driving innovation and transforming how we work. Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

Unstructured Data 96

Unstructured Data Entertainment Healthcare Telecommunication 96

Confessions of a Data Guy

JANUARY 30, 2025

When it comes to building modern Lake House architecture, we often get stuck in the past, doing the same old things time after time. We are human; we are lemmings; it’s just the trap we fall into. Usually, that pit we fall into is called Spark. Now, don’t get me wrong; I love Spark. We […] The post AWS Lambda + DuckDB + Polars + Daft + Rust appeared first on Confessions of a Data Guy.

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AWS Architecture Building IT 100

Pinterest Engineering

JANUARY 31, 2025

Bowen Deng | Machine Learning Engineer, Homefeed Candidate Generation; Zhibo Fan | Machine Learning Engineer, Homefeed Candidate Generation; Dafang He | Machine Learning Engineer, Homefeed Relevance; Ying Huang | Machine Learning Engineer, Curation; Raymond Hsu | Engineering Manager, Homefeed CG Product Enablement; James Li | Engineering Manager, Homefeed Candidate Generation; Dylan Wang | Director, Homefeed Relevance; Jay Adams | Principal Engineer, Pinner Curation &Growth Introduction At P

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Systems Metadata Machine Learning Architecture 76

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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 Workflow

databricks

JANUARY 31, 2025

Deepseek-R1 is a state-of-the-art open model that, for the first time, introduces the reasoning capability to the open source community. In particular, the.

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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 94

Unstructured Data SQL Government Python 94

KDnuggets

JANUARY 28, 2025

Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers.

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Python Management AWS IT 131

RandomTrees

JANUARY 30, 2025

The energy and utility industry is being transformed by AI technology, and it is powered by the digital revolution. One of its newest forms, Generative AI, is bolstering utility operations reliability, efficiency, and resilience. Its place in modern utilities is most evident in real-time fault detection. The utilization of Generative AI for utilities is discussed in this article, alongside smart utilities with AI , real-time monitoring AI, and AI predictive maintenance.

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Utilities Algorithm Machine Learning Systems 52

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

Picnic Engineering

JANUARY 30, 2025

After introducing our Page Architecture initiative in this previous post , well now dive deeper into how we transformed the mobile appthe primary platform where millions of customers do their grocery shopping with Picnic. As an online-only supermarket, the app isnt just another sales channelits the core of all customer experience. This transformation isnt just about technical improvementsits about fundamentally changing how we deliver rich, dynamic user interfaces to customers.

Architecture 52

Architecture Metadata Engineering Systems 52

Snowflake

JANUARY 28, 2025

Migrating from a traditional data warehouse to a cloud data platform is often complex, resource-intensive and costly. At Snowflake, we believe every organization should benefit from an easy, enterprise-grade and collaborative cloud AI and data platform and should be able to make that transition as fast and automatic as possible. Thats why we are announcing that SnowConvert , Snowflakes high-fidelity code conversion solution to accelerate data warehouse migration projects, is now available for d

Data Warehouse 83

Data Warehouse Professional Services SQL Coding 83

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.

Database 52

Database Data SQL Cloud 52

KDnuggets

JANUARY 28, 2025

Rather than fearing AI, we should see it as a tool that complements human skills, helping professionals focus on high-value work and enhancing job roles.

IT 121

IT 121

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

Striim

JANUARY 30, 2025

During a crisiswhether its a pandemic, a natural disaster, or a major supply chain breakdownswift, informed decision-making can mean the difference between regaining control and facing further escalation. Todays organizations have access to more data than ever before, and consequently are faced with the challenge of determining how to transform this tremendous stream of real-time information into actionable insights.

Systems 52

Systems Management Hospitality Healthcare 52

Snowflake

JANUARY 28, 2025

Migrating from a traditional data warehouse to a cloud data platform is often complex, resource-intensive and costly. At Snowflake, we believe every organization should benefit from an easy, enterprise-grade and collaborative cloud AI and data platform and should be able to make that transition as fast and automatic as possible. Thats why we are announcing that SnowConvert , Snowflakes high-fidelity code conversion solution to accelerate data warehouse migration projects, is now available for d

Data Warehouse 72

Data Warehouse Professional Services SQL Data 72

ArcGIS

JANUARY 28, 2025

Having fish for dinner tonight? Ever wondered if anyone is monitoring where it's coming from?

IT 118

IT 118

KDnuggets

JANUARY 27, 2025

Master cleaner, faster code with these essential techniques to supercharge your data workflows.

Python 116

Python Data Workflow Data Coding 116

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 Workflow

Towards Data Science

JANUARY 30, 2025

Stop Creating Bad DAGsOptimize Your Airflow Environment By Improving Your PythonCode Valuable tips to reduce your DAGs parse time and save resources. Photo by Dan Roizer on Unsplash Apache Airflow is one of the most popular orchestration tools in the data field, powering workflows for companies worldwide. However, anyone who has already worked with Airflow in a production environment, especially in a complex one, knows that it can occasionally present some problems and weirdbugs.

Python 48

Python Coding Google Cloud Database 48

databricks

JANUARY 28, 2025

At Zafin , our mission is to help banks modernize their core infrastructure to deliver exceptional, personalized experiences to their customers. To determine.

Banking 111

Banking 111

WeCloudData

JANUARY 30, 2025

TThe integration of Artificial Intelligence (AI) and Large Language Models (LLMs), into medical diagnosis healthcare is revolutionizing patient care. But how effective are these tools when it comes to diagnosing complex medical conditions? A recent study conducted by UVA Health, in collaboration with Stanford and Harvard, dives into the diagnostic potential of AI and offers […] The post How LLMs and AI Are Shaping Medical Diagnosis appeared first on WeCloudData.

Medical 52

Medical Healthcare IT 52

KDnuggets

JANUARY 30, 2025

In this article, we show you how to run parallel time series analysis with Dask, through a practical Python-based tutorial.

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Python 109

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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

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