Towards Data Science

JUNE 27, 2023

Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: The 2.0 release seems to have created quite an impact in the data science community, with a lot of users praising the modifications added in the new version. A Game-Changer for Data Scientists? Yep, pandas 2.0

Pipeline-centric 98

Pipeline-centric Data Science Machine Learning Datasets 98

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

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

Confluent

JUNE 18, 2019

It involves many moving parts, from data preparation to building indexing and query pipelines. Luckily, this task looks a lot like the way we tackle problems that arise when connecting data. Building an indexing pipeline at scale with Kafka Connect. Building a resilient and scalable solution is not always easy.

Architecture 97

Architecture Building Kafka Database-centric 97

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