Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast Summary This podcast started almost exactly six years ago, and the technology landscape was much different than it is now.

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Towards Data Science

MAY 13, 2024

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

Data Engineer 98

Data Engineer Data Engineering Engineering Data Science 98

Knowledge Hut

JULY 5, 2024

Large enterprises heavily rely on data for informed decision-making, and this reliance is where data engineers step in. Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.

Data Engineer 90

Data Engineer Data Engineering Engineering Data Science 90

Data Engineering Weekly

AUGUST 4, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. The Archmage thrift proxy layer to hide the infrastructure and enable easier version upgrades is a good engineering practice that I would recommend for any platform team.

Data Engineer 80

Data Engineer Data Engineering Engineering Data 80

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 Engineer 147

Data Engineer Data Engineering Project Engineering 147

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 Engineer 189

Data Engineer Data Engineering Engineering Project 189

Towards Data Science

NOVEMBER 20, 2024

It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc). Similarly, data engineering positions have seen a 98% increase.

Data Engineer 40

Data Engineer Data Engineering Engineering Electronics 40

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 245

Data Science Data Cloud Computing Deep Learning 245

Data Engineering Weekly

MAY 26, 2024

[link] Meta: Composable data management at Meta Meta writes about its transition to a composable data management system to improve interoperability, reusability, and engineering efficiency. seconds, enhancing real-time sports data analytics efficiency! Query times have been reduced from over 90 seconds to less than 0.5

Data Engineer 76

Data Engineer Data Engineering Engineering Google Cloud 76

Knowledge Hut

JANUARY 18, 2024

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. What is Data Science? What is Software Engineering?

Software Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineer 81

Data Engineer Data Engineering Engineering Data Warehouse 81

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 Engineer 105

Data Engineer Data Engineering Engineering Metadata 105

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 Engineer 130

Data Engineer Data Engineering Engineering Cloud Computing 130

Towards Data Science

JULY 26, 2024

Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinking source: unsplash.com Recently, I have had the fortune of speaking to a number of data engineers and data architects about the problems they face with data in their businesses. So, What the Heck is Radical Simplicity?

Data Engineer 58

Data Engineer Data Engineering Engineering Software Engineering 58

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 Engineer 130

Data Engineer Data Engineering Engineering IT 130

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 Engineer 76

Data Engineer Data Engineering Engineering Data Science 76

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 Engineer 96

Data Engineer Data Engineering Engineering Software Engineering 96

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 110

Data Science Data Engineer Data Engineering Engineering 110

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 Engineer 70

Data Engineer Data Engineering Engineering Bytes 70

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 Engineer 70

Data Engineer Data Engineering Engineering Kafka 70

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

Data Science 52

Data Science Data Engineer Data Engineering Engineering 52

Data Engineering Weekly

APRIL 28, 2024

Intuit: The Data Mesh Strategy Behind Intuit’s Global Financial Technology Platform The Data Product Builder platform is becoming increasingly important in enterprise data engineering. It offers more targeted and customized data asset building than the general-purpose data stack.

Data Engineer 52

Data Engineer Data Engineering Engineering Hospitality 52

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 109

Data Pipeline Python Data Engineer Data Engineering 109

WeCloudData

JULY 17, 2024

Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. For enterprises, data is full of infinite value. Every enterprise is transforming in the direction of digitalization.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data 52

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

Data Engineer 82

Data Engineer Data Engineering Engineering Data Lake 82

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 Engineer 52

Data Engineer Data Engineering Engineering Business Intelligence 52

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 Engineer 130

Data Engineer Data Engineering Engineering Project 130

Data Engineering Weekly

SEPTEMBER 8, 2024

How We Created Data Science Personas for Spotify’s Analytics Platform It takes a village to engineer data. It requires balanced teamwork with multiple organizational personalities to cultivate a data-driven culture. Spotify writes an excellent article highlighting the key Data Science persona.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 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 Engineer 71

Data Engineer Data Engineering Engineering Data Science 71

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 Engineer 79

Data Engineer Data Engineering Engineering SQL 79

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science 285

Data Science Data Preparation Big Data Data 285

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 Engineer 100

Data Engineer Data Engineering Engineering Python 100

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 Engineer 62

Data Engineer Data Engineering Engineering PostgreSQL 62

Knowledge Hut

MAY 3, 2023

With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Cleanse 98

Towards Data Science

FEBRUARY 10, 2024

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

Data Engineer 90

Data Engineer Data Engineering Engineering Data Science 90

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 Engineer 142

Data Engineer Data Engineering Engineering Data 142