ProjectPro

JUNE 6, 2025

Data scientists can then leverage different Big Data tools to analyze the information. Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

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.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Data Pipeline 52

Data Pipeline Healthcare Pipeline-centric Medical 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Ascend.io

AUGUST 29, 2023

A star-studded baseball team is analogous to an optimized “end-to-end data pipeline” — both require strategy, precision, and skill to achieve success. Just as every play and position in baseball is key to a win, each component of a data pipeline is integral to effective data management.

Data Pipeline 52

Data Pipeline Pipeline-centric Database-centric Data Ingestion 52

Edureka

JULY 3, 2024

Companies are drowning in a sea of raw data. As data volumes explode across enterprises, the struggle to manage, integrate, and analyze it is getting real. Thankfully, with serverless data integration solutions like Azure Data Factory (ADF), data engineers can easily orchestrate, integrate, transform, and deliver data at scale.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics: Overview Data analytics is the process of analyzing raw data to derive conclusions. Businesses can optimize their performance, be more efficient, maximize profits, or make more strategic decisions with the help of data analytics.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

The Modern Data Company

JULY 29, 2024

Already operating at capacity, data teams often find themselves repeating efforts, rebuilding similar data pipelines and models for each new project. The consequences of these challenges are stark: the journey from raw data to actionable insights has become excruciatingly long.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

Database-centric 52

Database-centric ETL Tools Data Mining Data Cleanse 52

Ascend.io

SEPTEMBER 14, 2023

Data engineers can find one for almost any need, from data extraction to complex transformations, ensuring that they’re not reinventing the wheel by writing code that’s already been written. It’s an umbrella that covers everything from gathering raw data to processing and storing it efficiently.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

ProjectPro

JUNE 6, 2025

Are you preparing for an ETL or data engineering job interview and feeling a little intimidated by the prospect of facing challenging ETL interview questions? ETL is a crucial aspect of data management, and organizations want to ensure they're hiring the most skilled talent to handle their data pipeline needs.

ETL Tools 40

ETL Tools Database-centric Data Warehouse ETL System 40

Airbnb Tech

JUNE 1, 2021

On the other hand, it burdened the centralized data engineering with the impossible task of gatekeeping and onboarding an endless stream of new datasets into new and existing core tables. Furthermore, pipelines built downstream of core_data created a proliferation of duplicative and diverging metrics. Stay tuned for our next post !

Pipeline-centric 52

Pipeline-centric Datasets Metadata Data Science 52

RandomTrees

NOVEMBER 29, 2023

The data from many data bases are sent to the data warehouse through the ETL processes. Here if there arises a need to modify the data pipeline , nothing but the data flow from the source to the stage, there is the capability of monitoring the flow processes and other data hold through the governance systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52