Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Is data cleaning done manually?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

AltexSoft

FEBRUARY 21, 2023

For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Data collection and preprocessing As with any machine learning task, it all starts with high-quality data that should be enough for training a model.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

AltexSoft

AUGUST 22, 2022

Data fabric vs data lake. In the data fabric vs data lake dilemma, everything is simple. Data lakes are central repositories that can ingest and store massive amounts of both structured and unstructured data, typically for future analysis, big data processing , and machine learning.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Edureka

FEBRUARY 7, 2023

They should also be comfortable working with a variety of data sources and types and be able to design and implement data pipelines that can handle structured, semi-structured, and unstructured data. It covers topics such as data exploration, data preparation, and feature engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. The rest of the exam details are the same as the DP-900 exam.

Certification 52

Certification Data Engineering Data Engineer Engineering 52