Seattle Data Guy

JANUARY 17, 2023

With all the recent data events I have put together I inevitably run into new data engineers who are either finishing up college or looking to transition into a data engineer or data scientist position. In fact I have talked to several newly graduated engineers who are struggling to find work.

Data Engineering 223

Data Engineering Data Engineer Engineering Data 223

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

Data Engineering 248

Data Engineering Data Engineer Engineering Data 248

Confessions of a Data Guy

JUNE 20, 2024

After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. Sometimes I wonder if I’ve learned anything […] The post What I’ve Learned After A Decade Of Data Engineering appeared first on Confessions of a Data Guy.

Data Engineering 223

Data Engineering Data Engineer Engineering Data 223

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Analytics Vidhya

JUNE 20, 2023

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing.

Data Process 224

Data Process Data Engineering Data Engineer Process 224

Analytics Vidhya

AUGUST 4, 2024

Introduction Managing complicated, interrelated information is more important than ever in today’s data-driven society. Traditional databases, while still valuable, often falter when it comes to handling highly connected data. Enter the unsung heroes of the data world: graph databases.

Database 219

Database Data Engineering Data Engineer Engineering 219

Analytics Vidhya

JUNE 24, 2023

He is an experienced data engineer with a passion for problem-solving and a drive for continuous growth. Thus, providing valuable insights into the field of data engineering. Introduction We had an amazing opportunity to learn from Mr. Pavan.

Data Engineering 209

Data Engineering Data Engineer Engineering Data 209

Analytics Vidhya

JULY 25, 2023

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! appeared first on Analytics Vidhya.

Data Engineering 202

Data Engineering Data Engineer Engineering Data 202

Confessions of a Data Guy

FEBRUARY 7, 2023

Some of the things I’m going to talk about, well … all of it, is probably fairly obvious to most Rust folk, but it’s enjoyable to learn what new […] The post Ownership and Borrowing in Rust – Data Engineering Gold Mine. appeared first on Confessions of a Data Guy.

Data Engineering 221

Data Engineering Data Engineer Engineering Data 221

Data Engineering Weekly

NOVEMBER 24, 2024

Editor’s Note: Launching Data & Gen-AI courses in 2025 I can’t believe DEW will reach almost its 200th edition soon. What I started as a fun hobby has become one of the top-rated newsletters in the data engineering industry. We are planning many exciting product lines to trial and launch in 2025.

Data Engineering 58

Data Engineering Data Engineer Engineering Insurance 58

Start Data Engineering

APRIL 22, 2024

Most data projects use Docker to set up the data infra locally (and often in production). Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with.

Data Engineering 225

Data Engineering Data Engineer Engineering Data 225

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape. 60+ speakers from LinkedIn, Shopify, Amazon, Lyft, Grammarly, Mistral, et al.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Data Engineering Podcast

JUNE 25, 2023

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. Can you describe what SQLMesh is and the story behind it?

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225

Edureka

APRIL 22, 2025

Data is more than simply numbers as we approach 2025; it serves as the foundation for business decision-making in all sectors. However, data alone is insufficient. Data engineering can help with it. It is the force behind seamless data flow, enabling everything from AI-driven automation to real-time analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Data Engineering Weekly

APRIL 13, 2025

[link] Sponsored: The Ultimate Guide to Apache Airflow® DAGs Download this free 130+ page eBook for everything a data engineer needs to know to take their DAG writing skills to the next level (+ plenty of example code). link] All rights reserved, ProtoGrowth Inc.,

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Data Engineering Weekly

APRIL 20, 2025

[link] Jing Ge: Context Matters — The Vision of Data Analytics and Data Science Leveraging MCP and A2A All aspects of software engineering are rapidly being automated with various coding AI tools, as seen in the AI technology radar. Data engineering is one aspect where I see a few startups starting to disrupt.

Data Engineering 68

Data Engineering Data Engineer Engineering Kafka 68

Data Engineering Weekly

APRIL 27, 2025

Before Hoptimator, Pinot ingestion often required data producers to create and manage separate, Pinot-specific preprocessing jobs to optimize data, such as re-keying, filtering, and pre-aggregating. reducing user friction, operator toil, and resource consumption on Pinot servers, while automating pipeline management.

Data Engineering 63

Data Engineering Data Engineer Engineering Kafka 63

Data Engineering Weekly

MARCH 23, 2025

Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. These are common LinkedIn requests.

Data Engineering 63

Data Engineering Data Engineer Engineering Data 63

Data Engineering Weekly

NOVEMBER 3, 2024

The challenges around memory, data size, and runtime are exciting to read. Sampling is an obvious strategy for data size, but the layered approach and dynamic inclusion of dependencies are some key techniques I learned with the case study. This count helps to ensure data consistency when deleting and compacting segments.

Data Engineering 63

Data Engineering Data Engineer Engineering Pipeline-centric 63

Data Engineering Weekly

MARCH 2, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Data Council 2025 is set for April 22-24 in Oakland, CA. DeepSeek’s smallpond Takes on Big Data.

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Start Data Engineering

AUGUST 13, 2024

Data structures and algorithms to know 2.1. Introduction 2. Dictionary 2.3. Counter (from collections module) 2.7. Graph search 2.8.1 Depth First Search (DFS) 2.8.2. Breadth First Search BFS 2.9. Binary Search 3. Common DSA questions asked during DE interviews 3.1. Intervals 3.

Algorithm 200

Algorithm Data Engineering Data Engineer Engineering 200

Data Engineering Weekly

APRIL 6, 2025

The article summarizes the recent macro trends in AI and data engineering, focusing on Vibe coding, human-in-the-loop system design, and rapid simplification of developer tooling. As these assistants evolve, they signal a future where scalable, low-latency data pipelines become essential for seamless, intelligent user experiences.

Data Engineering 63

Data Engineering Data Engineer Engineering Kafka 63

KDnuggets

JULY 15, 2024

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

Data Engineering 152

Data Engineering Data Engineer Engineering Certification 152

Data Engineering Weekly

FEBRUARY 23, 2025

Try Astro Free → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. The results? will shape the future of DataOps.

Data Engineering 63

Data Engineering Data Engineer Engineering Kafka 63

Data Engineering Weekly

JANUARY 15, 2025

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Adding to this complexity is the sheer volume of data generated daily.

Data Engineering 63

Data Engineering Data Engineer Unstructured Data Engineering 63

Data Engineering Weekly

MARCH 16, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Data Council 2025 is set for April 22-24 in Oakland, CA. What we learned?

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

Confessions of a Data Guy

APRIL 28, 2024

The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about.

Data Engineering 162

Data Engineering Data Engineer Engineering Data 162

Monte Carlo

OCTOBER 31, 2024

The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

KDnuggets

OCTOBER 3, 2024

Learn the data engineering tools for data orchestration, database management, batch processing, ETL (Extract, Transform, Load), data transformation, data visualization, and data streaming.

Data Engineering 140

Data Engineering Data Engineer Engineering Database 140

Data Engineering Weekly

MARCH 30, 2025

Save Your Spot → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. link] BVP: Roadmap: Data 3.0

Data Engineering 58

Data Engineering Data Engineer Engineering Pipeline-centric 58

KDnuggets

SEPTEMBER 2, 2024

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

Python 151

Python Data Engineering Data Engineer Engineering 151

Data Engineering Weekly

DECEMBER 28, 2024

In this post, we delve into predictions for 2025, focusing on the transformative role of AI agents, workforce dynamics, and data platforms. For professionals across domains—data engineers, AI engineers, and data scientists—the message is clear: adapt or become obsolete.

Unstructured Data 113

Unstructured Data Metadata Data Government 113

Christophe Blefari

JANUARY 11, 2025

The Data News are here to stay, the format might vary during the year, but here we are for another year. We published videos about the Forward Data Conference, you can watch Hannes, DuckDB co-creator, keynote about Changing Large Tables. HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. Not really digest.

Data 130

Data Data Warehouse Coding Programming Language 130

Simon Späti

JANUARY 22, 2025

To be proficient as a data engineer, you need to know various toolkitsfrom fundamental Linux commands to different virtual environments and optimizing efficiency as a data engineer.

Data Engineering 130

Data Engineering Data Engineer Engineering Programming Language 130

KDnuggets

MARCH 3, 2025

You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.

Data Engineering 116

Data Engineering Data Engineer Engineering Data 116

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. What if I told you that using just 50% of your training data could achieve better results than using the fulldataset? Image byauthor.

Database-centric 106

Database-centric Datasets Data Architecture 106