Monte Carlo

JANUARY 23, 2024

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

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.

Data Lake 130

Data Lake Data Warehouse Data Machine Learning 130

Data Engineering Podcast

MARCH 10, 2023

NetSpring is a warehouse-native product analytics service that allows you to gain powerful insights into your customers and their needs by combining your event streams with the rest of your business data. Visit: dataengineeringpodcast.com/data-council today! Don't miss out on their only event this year!

Data Warehouse 130

Data Warehouse Data Lake Machine Learning Data Science 130

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

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.

Consulting 130

Consulting Data Warehouse Data Designing 130

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 123

Data Lake Data Warehouse Data Storage Data 123

Start Data Engineering

MAY 11, 2022

Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Introduction 2. Objective 3. Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6.

Data Engineering 246

Data Engineering Data Engineer Project Data Lake 246

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient? Data warehouse exmaple.

Data Engineering 88

Data Engineering Data Engineer Engineering BI 88

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 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

Seattle Data Guy

DECEMBER 19, 2022

By Reseun McClendon Today, your enterprise must effectively collect, store, and integrate data from disparate sources to both provide operational and analytical benefits. Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data.

Data Lake 130

Data Lake Data Warehouse Database Data Storage 130

Data Engineering Weekly

APRIL 14, 2024

Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions. Large Language Models: Turning messy data into surprisingly coherent nonsense since 2023. High-quality data is the cornerstone of LLM.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

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 Engineering 89

Data Engineering Data Engineer Engineering Data Lake 89

Towards Data Science

MAY 8, 2023

Data Warehouse Dimensional Modeling Design 101 Continue reading on Towards Data Science »

Data Warehouse 71

Data Warehouse Data Engineering Data Engineer Building 71

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

Data Engineering Podcast

MAY 13, 2021

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 81

Data Lake Data Warehouse Cloud Unstructured Data 81

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

Towards Data Science

JUNE 6, 2023

Fitbit activity analysis with DuckDB Photo by Jake Hills on Unsplash Wearable fitness trackers have become an integral part of our lives, collecting and tracking data about our daily activities, sleep patterns, location, heart rate, and much more. What insights are buried within my archive of personal fitness activity data?

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Data Warehouse Data SQL Data Analysis 94

Hevo

MARCH 22, 2024

In this post, you will explore the similarities and the differences between the two Data Warehouse choices – Redshift Vs Postgres, specifically in terms of factors that are critical to the life of a Data Engineer.

PostgreSQL 40

PostgreSQL Data Warehouse Data Data Engineering 40

Hepta Analytics

FEBRUARY 24, 2022

Week 3 was about data warehousing, working on the data that was ingested in the week 2. We will take the already ingested data and create an external table from it and optimize the performance of queries through partitioning and clustering. Data is stored in traditional databases. Mostly for high volume customers.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Engineering 52

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. Join in with the event for the global data community, Data Council Austin.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Towards Data Science

FEBRUARY 24, 2024

Best practice and advanced techniques for beginners Continue reading on Towards Data Science »

Data Warehouse 81

Data Warehouse Building Data Science Data 81

Acceldata

FEBRUARY 16, 2023

Why Data Engineers Must Manage Data Pipelines, Not Data Warehouses

Data Warehouse 52

Data Warehouse Data Pipeline Data Engineering Data Engineer 52

Data Engineering Weekly

FEBRUARY 18, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Our hope is only with the amazing community of data practitioners who constantly support us. We are so over the Big Data Era to Modern Data Stack.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Data Engineering Podcast

JANUARY 1, 2022

Summary Communication and shared context are the hardest part of any data system. In recent years the focus has been on data catalogs as the means for documenting data assets, but those introduce a secondary system of record in order to find the necessary information.

Data Warehouse 100

Data Warehouse BI Data Workflow Coding 100

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Towards Data Science

APRIL 3, 2023

The post-modern data stack is coming. If you don’t like change, data engineering is not for you. The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. The answer is, yes of course we will have to rebuild our data systems.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

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.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Data Engineering Podcast

FEBRUARY 8, 2021

Summary With all of the tools and services available for building a data platform it can be difficult to separate the signal from the noise. In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify.

Data Warehouse 100

Data Warehouse Building BI SQL 100

Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

AUGUST 31, 2020

Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage.

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Data Engineering Weekly

MARCH 10, 2024

Editor’s Note: Chennai Meetup Wrap-Up & Preparation work started for DEWCon I am so grateful for the enthusiastic participants who made our Chennai Data Heroes- Community for Data Folks meetup vibrant! Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

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. While this idea isn’t completely foreign to data engineering, it can certainly be described as an extremely uncommon practice. Data is different. Let’s introduce some chaos.”

Data Engineering 98

Data Engineering Data Engineer Engineering Software Engineer 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