Start Data Engineering

OCTOBER 3, 2021

What is a data warehouse 4. OLTP vs OLAP based data warehouses 5. Introduction If you are a student, analyst, engineer, or anyone in the data space, it’s important to understand what a data warehouse is. If you are wondering What is a data warehouse? Conclusion 6.

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Data Warehouse Data Engineering IT 130

Data Engineering Podcast

JUNE 25, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Support Data Engineering Podcast RudderStack also supports real-time use cases.

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225

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?

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Data Engineering Data Engineer Engineering Data 98

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

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

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 Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6. Tear down infra 7. Next steps 9.

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Data Engineering Data Engineer Project Data Lake 246

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

Analytics Vidhya

APRIL 3, 2023

Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

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Data Engineering Data Engineer Engineering Data 251

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

Jesse Anderson

DECEMBER 12, 2022

Big data projects were given to data scientists and data warehouse teams, where the projects subsequently failed. As clearly evident as that sounds now, my writing about needing data engineering went heavily against the grain of everything that was written at the time. Some people blamed the technologies.

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Data Engineering Data Engineer Engineering Hadoop 130

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. Data warehouse exmaple. What is it?

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Data Engineering Data Engineer Engineering BI 87

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.

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PostgreSQL Data Warehouse Building MySQL 100

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.

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Data Lake Data Warehouse Data Storage Data 117

Towards Data Science

MAY 8, 2023

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

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Data Warehouse Data Engineering Data Engineer Building 71

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

Start Data Engineering

APRIL 12, 2022

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week.

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Data Lake Data Warehouse Data 130

Start Data Engineering

AUGUST 17, 2021

Batch Data Pipelines 1.1 Process => Data Warehouse 1.2 Process => Cloud Storage => Data Warehouse 2. Near Real-Time Data pipelines 2.1 Data Stream => Consumer => Data Warehouse 2.2

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Data Warehouse Cloud Storage Data Pipeline Data 130

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.

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PostgreSQL Data Warehouse Data Data Engineering 40

Hepta Analytics

FEBRUARY 24, 2022

Examples of such systems are: ATM Shopping cart MoMo ticket systems OLAP on the other hand is used for data analysis. Data is aggregated from multiple sources and used by the business team to make decisions. Data structure and schema is defined in advance. The main goal is to become the single source of truth in an organization.

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Data Warehouse Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

APRIL 14, 2024

Github shares some insights on how Github engineers use Github Copilot. The other key feature I like is the out-of-the-box support for backfilling with point-in-time accuracy, skew handling & computational efficiency.

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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. Data models are built around business needs.

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Data Engineering Data Engineer Engineering Data Lake 88

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.

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Data Engineering Data Engineer Engineering Project 189

Data Engineering Podcast

JANUARY 1, 2022

In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. star/snowflake schema, data vault, etc.)

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Data Warehouse BI Data Workflow Coding 100

Acceldata

FEBRUARY 16, 2023

Why Data Engineers Must Manage Data Pipelines, Not Data Warehouses

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Data Warehouse Data Pipeline Data Engineering Data Engineer 52

Data Engineering Podcast

FEBRUARY 8, 2021

In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Towards Data Science

JUNE 6, 2023

The fact it’s insanely fast and does (mostly) all processing in memory make it a good choice for building my personal data warehouse. Fitbit activity data The first collection of files I looked at was activity data. Extra points for its seamless integration with Python and R.

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Data Warehouse Data SQL Data Analysis 93

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.

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Data Lake Data Warehouse Cloud Unstructured Data 84

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.

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Data Warehouse Cloud Building Data Lake 100

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

FEBRUARY 18, 2024

Our hope is only with the amazing community of data practitioners who constantly support us. One thing I learned while writing Data Engineering Weekly is that persistence and consistency are the keys to success. We are so over the Big Data Era to Modern Data Stack. Elevate your data skills!

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Data Engineering Data Engineer Engineering Data 62

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.

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Data Warehouse AWS Data Validation Data 52

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

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. How does it compare to the other available platforms for data warehousing?

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Data Warehouse Cloud AWS Relational Database 100

Data Engineering Podcast

MAY 27, 2021

Summary The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity of locations and environments where data needs to be managed, the warehouse engine needs to be fast and easy to manage.

Data Warehouse 100

Data Warehouse Cloud PostgreSQL Kafka 100

Towards Data Science

FEBRUARY 24, 2024

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

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Data Warehouse Building Data Science Data 81

Data Science Blog: Data Engineering

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Data Warehouse Coding Systems Cloud 52

Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. They provide an AWS-native, serverless, data infrastructure that installs in your VPC. Datacoral helps data engineers build and manage the flow of data pipelines without having to manage any infrastructure.

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Data Warehouse PostgreSQL AWS Programming Language 100