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

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

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Designed to tackle the challenges of modern data management and analytics, Azure Synapse brings together the worlds of big data and data warehousing into a unified and seamlessly integrated platform.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

JANUARY 30, 2024

Use Case Essential for data preprocessing and creating usable datasets. Types of data you can extract Data extraction is a fundamental process in the realm of data management and analysis, encompassing the retrieval of specific, relevant information from various sources.

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