Seattle Data Guy

MAY 20, 2023

Starting new data engineering projects can be challenging. Data engineers can get stuck on finding the right data for their data engineering project or picking the right tools.

Data Engineering 147

Data Engineering Data Engineer Project Engineering 147

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Snowflake

APRIL 17, 2024

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. This allows your applications to handle large data sets and complex workflows efficiently.

Data Pipeline 110

Data Pipeline Python Data Engineering Data Engineer 110

Data Engineering Weekly

MARCH 17, 2024

It also introduces emerging standards like the Open Data Contract Standard and Data Product Descriptor Specification. As you know, I’m fascinated by data products and the potential to change the data engineering practice. Can we measure the cost of data incidents?

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 189

Data Engineering Data Engineer Engineering Project 189

Towards Data Science

MARCH 26, 2024

In this article we dive into some practical examples for Data Engineers Continue reading on Towards Data Science » Generative AI is all the rage.

Data Engineering 74

Data Engineering Data Engineer Engineering Data Science 74

Data Engineering Weekly

DECEMBER 3, 2023

link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. link] Netflix: Incremental Processing using Netflix Maestro and Apache Iceberg Netflix writes about its incremental processing design with its orchestration engine Maestro on top of Iceberg.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Towards Data Science

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. As a result, the 2020 election was the first I can remember where the on-call engineers weren’t on the edge of their seats, white-knuckling their keyboards…At least not for system reliability reasons.

Data Engineering 95

Data Engineering Data Engineer Engineering Software Engineer 95

Confessions of a Data Guy

DECEMBER 29, 2022

Data engineering is a vital field within the realm of data science that focuses on the practical aspects of collecting, storing, and processing large amounts of data. appeared first on Confessions of a Data Guy. Here it is.

Data Engineering 130

Data Engineering Data Engineer Engineering IT 130

Data Engineering Weekly

FEBRUARY 4, 2024

Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering. What is Data Modeling, and what is not? He rightly points out that many data engineers will name any of the modeling techniques as data modeling.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Data Engineering Weekly

MAY 5, 2024

[link] Uber: From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey Constantly adopting and implementing tech advancement with an existing system indicates efficient engineering. Uber wrote an in-depth article about the evolution of its centralized ML platform, Michelangelo.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Team Data Science

DECEMBER 17, 2020

Organizations in several industries such as banking, healthcare, and automobiles are now acknowledging the value of data science in their mode of operation. Thus, an ideal and efficacious data science team are therefore expected to manage numerous volume of tasks.

Data Engineering 130

Data Engineering Data Engineer Engineering Cloud Computing 130

Towards Data Science

AUGUST 19, 2023

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.

Data Engineering 77

Data Engineering Data Engineer Engineering SQL 77

Towards Data Science

FEBRUARY 10, 2024

Advanced techniques to process and load data efficiently Continue reading on Towards Data Science »

Data Engineering 88

Data Engineering Data Engineer Engineering Data Science 88

Data Engineering Podcast

JANUARY 30, 2022

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. What are the main tasks that you have seen Pandas used for in a data engineering context?

Data Engineering 100

Data Engineering Data Engineer Engineering Data Pipeline 100

Towards Data Science

NOVEMBER 12, 2023

Readers Digest to Learn Data Engineering Gradually Continue reading on Towards Data Science »

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Towards Data Science

AUGUST 31, 2023

Optimizing queries, improving runtimes, and geospatial data science applications Photo by Tamas Tuzes-Katai on Unsplash Intro: why is a spatial index useful? In doing geospatial data science work, it is very important to think about optimizing the code you are writing. Let’s get started! ? What’s a spatial index?

Data Engineering 69

Data Engineering Data Engineer Engineering Data Science 69

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Simon Späti

MARCH 9, 2021

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

Data Engineering 130

Data Engineering Data Engineer Engineering Project 130

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

KDnuggets

JULY 13, 2022

Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science.

Data Science 109

Data Science Data Engineering Data Engineer Engineering 109

Knowledge Hut

MARCH 15, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

JUNE 12, 2024

Python tricks and techniques for data ingestion, validation, processing, and testing: a practical walkthrough Continue reading on Towards Data Science »

Python 46

Python Data Engineering Data Engineer Coding 46

Towards Data Science

NOVEMBER 11, 2023

Java Juggernaut: The key to data engineering mastery Continue reading on Towards Data Science »

Java 52

Java Data Engineering Data Engineer Engineering 52

Towards Data Science

MARCH 17, 2024

Outlining strategies and solution architectures to incrementally load data from various data sources. Continue reading on Towards Data Science »

Data Engineering 67

Data Engineering Data Engineer Engineering Data Science 67

KDnuggets

JANUARY 17, 2022

In this article, I will describe three of the most promising career options within the data industry? — data analytics, data science, and data engineering.

Data Engineering 131

Data Engineering Data Engineer Engineering Data 131

KDnuggets

MARCH 17, 2020

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

Data Engineering 134

Data Engineering Data Engineer Engineering Project 134

Team Data Science

AUGUST 26, 2020

There are a huge number of tools and platforms for data engineers. In the course of the Data Engineer Coaching I was able to gain important experience in this regard and would like to tell you the most important tools on this basis today! One part of the Data Engineer Guide is the research for job advertisements.

Data Engineering 130

Data Engineering Data Engineer Engineering AWS 130

Data Engineering Weekly

AUGUST 13, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. See how it works today. Editor’s Note: DewCon.ai

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Knowledge Hut

MARCH 20, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

JANUARY 6, 2024

Knowledge and skills for successful data leadership Continue reading on Towards Data Science »

Data Engineering 93

Data Engineering Data Engineer Engineering Data Science 93

Towards Data Science

NOVEMBER 17, 2023

A go-to guide for data engineers wading through the backfilling maze Continue reading on Towards Data Science »

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

KDnuggets

FEBRUARY 27, 2023

5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.0 Complete Course • The Importance of Probability in Data Science • 4 Ways to Rename Pandas Columns • 5 Statistical Paradoxes Data Scientists Should Know

SQL 120

SQL Data Engineering Data Engineer Engineering 120

Team Data Science

AUGUST 30, 2020

Data Science , Artificial Intelligence and Machine Learning. These topics are currently the hype in the field of Data Science. Everyone wants to become a Data Scientist. But isn't the work being done in the field of Data Engineereing the real MVP? Is the hype about Data Scientists justified?

Data Engineering 130

Data Engineering Data Engineer Engineering Data Science 130