Data Engineering Podcast

AUGUST 13, 2022

In this episode founder Shayan Mohanty explains how he and his team are bringing software best practices and automation to the world of machine learning data preparation and how it allows data engineers to be involved in the process. Data stacks are becoming more and more complex. That’s where our friends at Ascend.io

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. This week I discovered SQLMesh , a all-in-one data pipelines tool. I hope he will fill the gaps. dbt, as of today, is the leading framework.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. This week I discovered SQLMesh , a all-in-one data pipelines tool. I hope he will fill the gaps. dbt, as of today, is the leading framework.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Assess the needs and goals of the business.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. Create a Path To Production For Self-Service: “… business users explore data through self-service data preparation, few have established gatekeeping processes to deliver these workloads to production.”

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Machine Data: For IoT applications, sensor data extraction is used to collect information from devices, machinery, or sensors, enabling real-time monitoring and analysis. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g.,

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ProjectPro

DECEMBER 16, 2021

If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52