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. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Data Modeling using multiple algorithms.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. He researches, develops, and implements artificial intelligence (AI) systems to automate predictive models. This profile is more in demand in midsize and big businesses.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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. A data engineer can be a generalist, pipeline-centric, or database-centric.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data Pipelines Data pipelines are the indispensable backbone for the creation and operation of every data product.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Databand.ai

DECEMBER 20, 2022

Follow Ken on LinkedIn 7) Michael Dillon Senior Business Intelligence Developer Michael is a Senior BI Developer at an English football club and the author of How to Get a Job in Data Analytics. Ahmed also has experience working on self-driving cars, human-robot interaction, and AI algorithms for missile defense.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. Instead, Facebook came to realize that the work we were doing transcended classic business intelligence. Data is simply too centric to the company’s activity to have limitation around what roles can manage its flow.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Example 6: A well-qualified Cloud Engineer is looking for a position responsible for developing and maintaining automated CI/CD and deploying pipelines to support platform automation.

Finance 98

Finance Business Intelligence Database-centric Certification 98