Sat.Feb 08, 2025 - Fri.Feb 14, 2025

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Data Warehouse Schemas: Meet the Big 3 Everyone’s Using

Monte Carlo

Think of your data warehouse like a well-organized library. The right setup makes finding information a breeze. The wrong one? Total chaos. Thats where data warehouse schemas come in. A data warehouse schema is a blueprint for how your data is structured and linkedusually with fact tables (for measurable data) and dimension tables (for descriptive attributes).

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The Quest to Understand Metric Movements

Pinterest Engineering

Charles Wu, Software Engineer | Isabel Tallam, Software Engineer | Franklin Shiao, Software Engineer | Kapil Bajaj, Engineering Manager Overview Suppose you just saw an interesting rise or drop in one of your key metrics. Why did that happen? Its an easy question to ask, but much harder toanswer. One of the key difficulties in finding root causes for metric movements is that these causes can come in all shapes and sizes.

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What is Stable Fusion in AI?

Edureka

An innovative artificial intelligence model, Stable Diffusion, can turn plain text into beautiful, high-quality pictures. This open-source application has revolutionized AI-driven creativity with its powerful deep-learning techniques. Stable Diffusion makes it easy and efficient—even on consumer-grade hardware—to generate original artwork, improve current photos, or investigate novel applications.

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Your Enterprise Data Needs an Agent

Snowflake

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex.

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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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Looking back at our Bug Bounty program in 2024

Engineering at Meta

In 2024, our bug bounty program awarded more than $2.3 million in bounties, bringing our total bounties since the creation of our program in 2011 to over $20 million. As part of our defense-in-depth strategy , we continued to collaborate with the security research community in the areas of GenAI, AR/VR, ads tools, and more. We also celebrated the security research done by our bug bounty community as part of our annual bug bounty summit and many other industry events.

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How to Reduce Your Data + AI Downtime

Monte Carlo

The large model is officially a commodity. In just two short years, API-based LLMs have gone from incomprehensible to smartphone accessible. The pace of AI innovation is slowing. Real world use cases are coming into focus. Going forward, the value of your genAI applications will exist solely in the fitnessand reliabilityof your own first-party data.

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10 Lessons from 10 Years of Innovation and Engineering at Picnic

Picnic Engineering

A decade ago, Picnic set out to reinvent grocery shopping with a tech-first, customer-centric approach. What began as a bold experiment quickly grew into a high-scale operation, powered by continuous innovation and a willingness to challenge conventions. Along the way, weve learned invaluable lessons about scaling technology, fostering culture, and driving innovation.

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Data Scientist vs Machine Learning Engineer

WeCloudData

Data scientists and Machine Learning engineers are both hot careers to follow with the recent advancement in technology. Both of these domains, data scientist vs machine learning engineer, are in high demand in any data-driven organization. Although data scientists and ML engineers share common ground in building models and handling data, they have differences in […] The post Data Scientist vs Machine Learning Engineer appeared first on WeCloudData.

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The AI Tipping Point: 2025 Predictions for Advertising, Media & Entertainment

Snowflake

AI is proving that its here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the advertising, media and entertainment industry gets serious about AI's applications. But its complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AIs biggest cheerleaders are turning a bit dour.

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Unapologetically Technical Episode 17 – Semih Salihoglu

Jesse Anderson

In this episode of Unapologetically Technical, I interview Semih Salihoglu, Associate Professor at the University of Waterloo and co-founder and CEO of Kuzu. Semih is a researcher and entrepreneur with a background in distributed systems and databases. He shares his journey from a small city in Turkey to the hallowed halls of Yale University, where he studied computer science and economics.

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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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Introducing Impressions at Netflix

Netflix Tech

Part 1: Creating the Source of Truth for Impressions By: TulikaBhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. At Netflix, we call these images impressions, and they play a pivotal role in transforming your interaction from simple browsing into an immersive binge-watching experience, all tailo

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Playwright Visual Testing; How Should Things Look? by Maxwell Nyamunda

Scott Logic

Introduction Using Playwright snapshots with mocked data can significantly improve the speed at which UI regression is carried out. It facilitates rapid automated inspection of UI elements across the three main browsers (Chromium, Firefox, Webkit). You can tie multiple assertions to one snapshot, which greatly increases efficiency for UI testing. This type of efficiency is pivotal in a rapidly scaling GUI application.

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Snowflake’s Fully Managed Service: Beyond Serverless

Snowflake

As analytics steps into the era of enterprise AI, customers requirements for a robust platform that is easy to use, connected and trusted for their current and future data needs remain unchanged. "Serverless computing" has enabled customers to use cloud capabilities without provisioning, deploying and managing either hardware or software resources.

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Snowflake Cost Monitoring with AWS CloudWatch & External Functions

Cloudyard

Read Time: 2 Minute, 55 Second Monitoring and optimizing cloud costs is a key challenge for businesses operating in cloud environments. Snowflake provides detailed usage insights, but integrating this data with AWS CloudWatch using External Functions allows organizations to track cost in real-time, set up alerts, and optimize warehouse utilization. What if we could integrate Snowflake warehouse cost tracking with AWS CloudWatch?

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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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Introducing SAP Databricks

databricks

Today we are announcing a deep partnership with SAP which we think can be game changing for our industry. In short, it is.

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10 Little-Known Python Libraries That Will Make You Feel Like a Data Wizard

KDnuggets

In this article, I will introduce you to 10 little-known Python libraries every data scientist should know.

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Overwriting partitioned tables in Apache Spark SQL

Waitingforcode

After publishing a release of my blog post about the insertInto trap, I got an intriguing question in the comments. The alternative to the insertInto, the saveAsTable method, doesn't work well on partitioned data in overwrite mode while the insertInto does. True, but is there an alternative to it that doesn't require using this position-based function?

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Should Python Data Pipelines be Function based or Object-Oriented (OOP)?

Start Data Engineering

1. Introduction 2. Data transformations as functions lead to maintainable code 3. Objects help track things (aka state) 3.1. Track connections & configs when connecting to external systems 3.2. Track pipeline progress (logging, Observer) with objects 3.3. Use objects to store configurations of data systems (e.g., Spark, etc.) 4. Class lets you define reusable code and pipeline patterns 4.1.

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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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Options Trading is Now Available in the UK

Robinhood

At Robinhood, were committed to providing our customers with the tools they need to navigate the financial markets, no matter where they are. Thats why were excited to announce the launch of options trading for our UK customers. This is yet another step forward in our journey to expand access and empower investors across the UK. Options are contracts between buyers and sellers whose value is derived from an underlying asset, such as a stock or an index.

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Top 5 Freelancer Websites Better Than Fiverr and Upwork

KDnuggets

Discover freelancing platforms that care about you, not just your money, offering low commission rate, better policies, and higher earning potential.

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What Is LangChain and How to Use It

Edureka

LangChain is a dynamic framework designed to supercharge the potential of Large Language Models (LLMs) by seamlessly integrating them with tools, APIs, and memory. It empowers developers to craft intelligent and context-aware applications, from conversational AI to workflow automation. With its modular design and versatile capabilities, LangChain transforms static LLMs into powerful engines for innovation.

IT 52
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Data Science Roadmap for Beginners 2025-Skills, Tools, Courses & Career Prep

WeCloudData

Data science is a rapidly evolving and growing field with undiscovered potential. Do you find the world of data fascinating and want to know how to work as a data scientist in 2025? Whether starting your career in this domain or transitioning from another field, you need a data science roadmap to follow. WeCloudData is […] The post Data Science Roadmap for Beginners 2025-Skills, Tools, Courses & Career Prep appeared first on WeCloudData.

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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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Bridging the Data Divide: How Confluent and Databricks Are Unlocking Real-Time AI

Confluent

An expanded partnership between Confluent and Databricks dramatically simplifies the integration between analytical and operational systems.

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5 LLM Prompting Techniques Every Developer Should Know

KDnuggets

Want to make the most out of large language models? Check out these prompting techniques you can start using today.

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What is Few-Shot Learning? Unlocking Insights with Limited Data

Edureka

Few-shot learning (FSL) is changing data science by allowing models to make correct predictions using very little labeled data. Unlike traditional guided learning, which needs a lot of data, Few-Shot Learning (FSL) is about learning from just a few examples. This makes FSL perfect for situations where data is limited or difficult to get. In this blog, we’ll explore Few-shot learning, its main ideas, and how it differs from traditional learning methods.

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Announcing the Databricks AI Security Framework 2.0

databricks

We are excited to announce the second edition of the Databricks AI Security Framework (DASF 2.0 download now )! Organizations racing to harness.

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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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Data Engineering Weekly #207

Data Engineering Weekly

Automate Airflow deploys with built-in CI/CD. Streamline code deployment, enhance collaboration, and ensure DevOps best practices with Astro's robust CI/CD capabilities. Try Astro Free → Hugging Face: Mixture of Experts Explained The mixture of Experts (MoEs) are transformer models efficiently gaining traction in the open AI community. MoEs necessitate less compute for pre-training compared to dense models, facilitating the scaling of model and dataset size within similar computational bud

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Data Scientist Vs Data Analyst: Key Differences, Career Paths, and How to Choose the Right Role

WeCloudData

The world is becoming increasingly reliant on data, about 2.5 quintillion bytes of data are generated every day and thats a great sign for anyone interested in a data-driven career. There are many career paths related to data including data scientist, data analyst, ML engineer, AI engineer, BI engineer, and many more. This blog focuses […] The post Data Scientist Vs Data Analyst: Key Differences, Career Paths, and How to Choose the Right Role appeared first on WeCloudData.

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How to Scale Sklearn with Dask

KDnuggets

Here's how Dask applies the building blocks of sklearn to bring ML modeling workflows to the next level of scalability via high-performance parallel computing

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What is BERT and How it is Used in GEN AI?

Edureka

Bidirectional Encoder Representations from Transformers, or BERT, is a game-changer in the rapidly developing field of natural language processing (NLP). Built by Google, BERT revolutionizes machine learning for natural language processing, opening the door to more intelligent search engines and chatbots. The design, capabilities, and impact of BERT on altering NLP applications across industries are explored in this blog.

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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.