Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Analytics Vidhya

FEBRUARY 2, 2023

Now, businesses are looking for different types of data storage to store and manage their data effectively. Organizations can collect millions of data, but if they’re lacking in storing that data, those efforts […] The post A Comprehensive Guide to Data Lake vs. Data Warehouse appeared first on Analytics Vidhya.

Data Lake 202

Data Lake Data Warehouse Data Storage Data 202

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Start Data Engineering

OCTOBER 12, 2021

Introduction Responsibilities of a data engineer 1. Move data between systems 2. Manage data warehouse 3. Schedule, execute, and monitor data pipelines 4. Serve data to the end-users 5. Data strategy for the company 6.

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Data Engineering Data Engineer Engineering Data Warehouse 130

Jesse Anderson

DECEMBER 12, 2022

Apache Spark came in 2009 and gave a unified batch and streaming engine. Apache Flink came in 2011 and gave us our first real streaming engine. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. DJ Patil coined the term Data Scientist in 2008. We lacked a scalable pub/sub system.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

JULY 21, 2024

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

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Data Engineering Data Engineer Engineering Generalist 117

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

Data Engineering Podcast

JUNE 4, 2023

Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Lake 130

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit [dataengineeringpodcast.com/data-council]([link] and use code *depod20* to register today!

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Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Weekly

JUNE 10, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.

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Data Warehouse SQL Metadata Raw Data 278

Data Engineering Podcast

MARCH 10, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Join in with the event for the global data community, Data Council Austin. As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20.

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Data Warehouse Data Lake Machine Learning Data Science 130

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

Seattle Data Guy

FEBRUARY 1, 2023

Recently several consulting calls started with people asking, “Do we need a data warehouse?” ” This isn’t a question about whether you need data warehouse consultants, but instead whether you should event start a data warehouse project. Not every company needs a data warehouse.

Data Warehouse 130

Data Warehouse Consulting Data Project 130

Seattle Data Guy

JANUARY 12, 2023

A data warehouse consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. But in order to understand why you need a data warehouse consultant we should take a step back.

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Consulting Data Warehouse Data Designing 130

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. To measure, but not track.

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Data Pipeline Data Engineering Data Engineer Engineering 98

Seattle Data Guy

DECEMBER 19, 2022

Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data.

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Data Lake Data Warehouse Database Data Storage 130

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.

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Data Engineering Data Engineer Engineering Data Warehouse 83

Seattle Data Guy

MAY 26, 2024

Many data engineers and analysts don’t realize how valuable the knowledge they have is. They’ve spent hours upon hours learning SQL, Python, how to properly analyze data, build data warehouses, and understand the differences between eight different ETL solutions.

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Consulting Engineering Data Warehouse SQL 130

Confessions of a Data Guy

MAY 30, 2024

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending.

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Building Data Warehouse Data Data Engineering 184

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 134

Data Lake Data Warehouse Data Storage Data 134

Data Engineering Weekly

JULY 7, 2024

The dataset organization as a set of LSM trees seems an interesting approach, which sounds similar to Google’s Napa data warehouse system. The author highlights Paimon’s consistency model by examining the metadata model.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

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. It is a long standing question on people wondering In what situations should you use SQL instead of Pandas as a data scientist?

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

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 Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

Data Engineering Weekly

AUGUST 25, 2024

Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI. Instead, you will see engineers, product managers, and founders talking about the data engineering practices of AI/ML. It is not a conference for the hype.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Monte Carlo

FEBRUARY 23, 2023

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. Pre-Mortems and Chaos Engineering We referred to that exercise as a “pre-mortem.” Data is different. It’s terrifying.

Data Engineering 98

Data Engineering Data Engineer Engineering Software Engineer 98

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?

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Data Engineering Data Engineer Coding Project 98

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. Data models are built around business needs.

Data Engineering 80

Data Engineering Data Engineer Engineering Data Lake 80

Confessions of a Data Guy

OCTOBER 7, 2024

Has the Data Warehouse finally died, has that unruly upstart the Lake House finally taken its place atop the seething mass of data we call home? Can we say that after all these decades the Data Warehouse Toolkit […] The post The Death of the Data Warehouse, replaced by the Lake House.

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Data Warehouse IT Data Big Data 113

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 57

Data Engineering Data Engineer Engineering Insurance 57

Seattle Data Guy

AUGUST 2, 2023

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning.

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Data Lake Data Warehouse Data Machine Learning 130

Towards Data Science

JANUARY 28, 2024

How I organize everything in my new data warehouse Continue reading on Towards Data Science »

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Data Warehouse Designing Data Science Data 82

Snowflake

NOVEMBER 26, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. Today we’re focusing on customers who migrated from a cloud data warehouse to Snowflake and some of the benefits they saw.

Data Warehouse 85

Data Warehouse Cloud PostgreSQL Hadoop 85

Data Engineering Podcast

MAY 1, 2022

He describes how the platform is architected, the challenges related to selling cloud technologies into enterprise organizations, and how you can adopt Matillion for your own workflows to reduce the maintenance burden of data integration workflows. Missing data? Go to dataengineeringpodcast.com/atlan today and sign up for a free trial.

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Data Warehouse Data Integration Cloud Google Cloud 100

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

Data Engineering Weekly

SEPTEMBER 2, 2024

Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI. Instead, you will see engineers, product managers, and founders talking about the data engineering practices of AI/ML. It is not a conference for the hype.

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Data Engineering Data Engineer Engineering Entertainment 67

Data Engineering Weekly

SEPTEMBER 22, 2024

I’m fairly confident that a framework that supports a deterministic way of building a data pipeline and a conversational way of building business logic is the future of data pipeline engineering. Dropbox writes a case study on integrating Lakera Guard into their prompt engineering to secure the LLM infrastructure.

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Data Engineering Data Engineer Engineering Data Lake 70