Sat.Jan 25, 2025 - Fri.Jan 31, 2025

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Must-Know Data Integrity Trends for 2025

Precisely

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

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How to build a Data Dashboard Prototype with Generative AI

Towards Data Science

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.

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What is a Red Team in Cybersecurity? Career Path, Skills, and Job Roles

Edureka

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.

Media 52
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Continuously Improving Developer Productivity at Snowflake

Snowflake

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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Using Marketplace Marginal Values to Address Interference Bias

Lyft Engineering

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 42
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4 AI Reliability Challenges for Enterprise Media Companies

Monte Carlo

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

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What is Artificial Intelligence (AI)?

WeCloudData

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
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Modern Data Governance: Trends for 2025

Precisely

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.

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Optimizing EC2 costs on Databricks

Sync Computing

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
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Don’t Manage Your Python Environments, Just Use Docker Containers

KDnuggets

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.

Python 137
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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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DeepSeek R1 on Databricks

databricks

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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How to ensure consistent metrics in your warehouse

Start Data Engineering

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.

Utilities 147
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Global Fishing Watch – Illuminating Vessel Activity On the Open Ocean

ArcGIS

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

IT 118
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The Role of AI in Shaping the Future of Work

KDnuggets

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 128
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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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Data Pruning MNIST: How I Hit 99% Accuracy Using Half the Data

Towards Data Science

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?

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Empowering Personalized Banking Experiences

databricks

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

Banking 107
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MySQL at Uber (2025)

Uber Engineering

Comments

MySQL 84
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10 Advanced Python Tricks for Data Scientists

KDnuggets

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

Python 123
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Draw complex polygons in ArcGIS Pro, super fast

ArcGIS

Here's how to draw detailed complex polygons in ArcGIS Pro with aplomb!

Data 79
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Introducing Easier Change Data Capture in Apache Spark™ Structured Streaming

databricks

This blog describes the new change feed and snapshot capabilities in Apache Spark Structured Streamings State Reader API. The State Reader API enables.

Data 103
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Announcing DeepSeek-R1 in private preview on Snowflake Cortex AI

Snowflake

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.

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Using DeepSeek-R1 Locally

KDnuggets

Run powerful reasoning models locally, matching the performance of OpenAI's o1 capabilities, completely free, and avoid paying $200 a month for a pro subscription.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Establishing a Large Scale Learned Retrieval System at Pinterest

Pinterest Engineering

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

Systems 67
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Care Cost Compass: An Agent System Using Mosaic AI Agent Framework

databricks

Opportunities and Obstacles in Developing Reliable Generative AI for Enterprises Generative AI offers transformative benefits in enterprise application development by providing advanced natural.

Systems 95
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Simplify Data Warehouse Migrations: Free SnowConvert with Redshift Support

Snowflake

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

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How to Run Parallel Time Series Analysis with Dask

KDnuggets

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

Python 114
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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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Introducing Real-Time Embeddings: Any Model, Any Vector Database—No Code Needed

Confluent

Confluents Create Embeddings Action for Flink helps you generate vector embeddings from real-time data to create a live semantic layer for your AI workflows.

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Battle of the Ducks

Towards Data Science

DuckDB vs Fireducks: the ultimate throwdown Continue reading on Towards Data Science

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Simplify Data Warehouse Migrations: Free SnowConvert

Snowflake

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

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How to Summarize Scientific Papers Using the BART Model with Hugging Face Transformers

KDnuggets

Learn how to perform paper summarization with BART.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.