Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets. Data annotation.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Data Engineering Weekly

AUGUST 25, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Powerful deep learning models are becoming smarter, more accessible and cost-effective.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

ProjectPro

JUNE 1, 2017

RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. Cloudera is more inclined on becoming a product centric business with 23% of its revenue coming from services past year in comparison to 31% for Hortonworks.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

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. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

DareData

JULY 29, 2020

Deep learning models are vulnerable against malicious adversarial examples. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline? A simple example of a data pipeline, transforming raw data, and converting it into a dashboard.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

ProjectPro

DECEMBER 16, 2021

The job of a Machine Learning Engineer is to maintain the software architecture, run data pipelines to ensure seamless flow in the production environment. Data Scientist - The Skillset Data Scientists and Machine Learning Engineers are expected to have a versatile skillset and a substantial overlap of skills.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52