Tue.Jan 21, 2025

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Data Science Salaries & Job Market Analysis: From 2024 to 2025

KDnuggets

Data science is still among the best careers to choose from in terms of compensation, with data scientists earning higher than the average salary. Lets see what data professionals stand to earn in 2025.

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Are LLMs making StackOverflow irrelevant?

The Pragmatic Engineer

Hi, this is Gergely with a bonus issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. This article is one out of five sections from The Pulse #119. Full subscribers received this issue a week and a half ago. To get articles like this in your inbox, subscribe here.

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Strobelight: A profiling service built on open source technology

Engineering at Meta

Were sharing details about Strobelight, Metas profiling orchestrator. Strobelight combines several technologies, many open source, into a single service that helps engineers at Meta improve efficiency and utilization across our fleet. Using Strobelight, weve seen significant efficiency wins, including one that has resulted in an estimated 15,000 servers worth of annual capacity savings.

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Enhancing Neural Network Training at Yelp: Achieving 1,400x Speedup with WideAndDeep

Yelp Engineering

At Yelp, we encountered challenges that prompted us to enhance the training time of our ad-revenue generating models, which use a Wide and Deep Neural Network architecture for predicting ad click-through rates (pCTR). These models handle large tabular datasets with small parameter spaces, requiring innovative data solutions. This blog post delves into our journey of optimizing training time using TensorFlow and Horovod, along with the development of ArrowStreamServer, our in-house library for lo

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A Guide to Debugging Apache Airflow® DAGs

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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The Marketing Agency of the Future: Powered by Unified Data, Trust and AI

Snowflake

We are entering a new era for marketing and advertising agencies. From evolving consumer expectations and increasingly stringent privacy regulations to the rise of AI, the landscape is shifting rapidly. To remain competitive, agencies need to reimagine how they operate. The winners will be those that adopt forward-thinking data strategies, build trust with partners and clients, and leverage AI to deliver real-time insights and personalized campaigns.

Media 97
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Schema Evolution with Case Sensitivity Handling in Snowflake

Cloudyard

Read Time: 6 Minute, 6 Second In modern data pipelines, handling data in various formats such as CSV, Parquet, and JSON is essential to ensure smooth data processing. However, one of the most common challenges faced by data engineers is the evolution of schemas as new data comes in. Schema evolution refers to the ability of a system to adapt to changes in the structure of incoming data without breaking existing workflows.

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What is Retrieval-Augmented Generation (RAG)?

Edureka

Large language models (LLMs) work better when they can reach a specific knowledge base instead of just their general training data. This is called retrieval-augmented generation (RAG). Because they are trained on huge datasets and have billions of factors. LLMs are great at answering questions, translating, and filling in blanks in text. RAG improves this feature even more by letting LLMs get information from a reliable outside source, like an organization’s own data before they write repl

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How to Use groupby for Advanced Data Grouping and Aggregation in Pandas

KDnuggets

Learn how to perform advance grouping and aggregation in Pandas.

Data 116
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Flask Python: A Comprehensive Guide to Building Web Applications

Edureka

It is imperative to have backend tools in order to develop web applications that are scalable, efficient, and robust. One of the most popular choices among developers is Flask, a Python framework that is both lightweight and flexible. Flask, which is renowned for its modularity and simplicity, enables developers to rapidly construct web applications without the need for excessive complexity.

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Gearing Up for Gartner Data & Analytics Summit 2025

Monte Carlo

Data is the new currency, and nowhere is that more evident than at the Gartner Data & Analytics Summit an event that gathers industry leaders, practitioners, and tech enthusiasts to discuss the latest in data-driven strategies and cutting-edge analytics solutions. If youre attending the Gartner Data & Analytics Summit and youre ready to learn how your leading data team can leverage data observability to get AI-ready in 2025, then read on for what you can expect, why it matters, and how t

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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Power BI Running Total: Easy Methods to Calculate

Edureka

Imagine having a record of daily expenditures and wishing to investigate how they would eventually pile up over time—the places this concept of running totals will take you. With running totals, Power BI gives you a mighty insight into the cumulative value you build while traversing through your data. It allows you to analyze the trend of sales and investigate inventory and financial metrics by showing a rise over time.

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Chain of Thought Prompting (CoT)

WeCloudData

Welcome to the fourth blog in WeCloudDatas Prompt Engineering Series! In the previous blog we explored basic prompt engineering techniques, such as zero-shot prompting and few-shot prompting. These techniques are effective in helping large language models to produce contextually relevant output. This blog is an introduction to a more advanced technique known as chain of […] The post Chain of Thought Prompting (CoT) appeared first on WeCloudData.

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Python for Predictive Analytics: From Basics to Advanced Techniques

Edureka

Python is a sophisticated predictive analytics platform that uses libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling. Businesses can use it to predict trends, find patterns, and make choices based on data. Python’s machine learning techniques can use past data to guess what will happen in the future.

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How to Make Maps Fast (Using Snow Data!)

ArcGIS

Learn how to make a map with SNODAS data in ArcGIS Pro and build a map quickly by planning your data and design early.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Allium and Confluent: How to Build a Foundational Data Platform for Blockchain

Confluent

Allium provides real-time, accessible blockchain data for analytics and business teams with the help of data streaming. Learn how here.

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Likely Voters Models: The Key to Accurate Electoral Analysis

Elder Research

This article explores the most commonly used likely voter models, sharing how they identify people most likely to participate in an election.

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