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 Modeling using multiple algorithms. They are required to have deep knowledge of distributed systems and computer science. What is Data Science?
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. Construct prototypes and algorithms Combine raw data from many sources.
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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.
DareData
JULY 29, 2020
We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. What makes a good Data Pipeline?
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. An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.
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.
Knowledge Hut
MARCH 22, 2024
In my previous role as a junior DevOps engineer, I implemented a continuous integration and continuous delivery (CI/CD) pipeline that reduced deployment time by 50%, resulting in increased scalability and cost efficiency. I'm passionate about streamlining the software development lifecycle through automation and collaboration.
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