François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. The next problem will be the diversity of these mini data platforms (because of the configuration) and you even go deeper in problems with managing different technologies or version.

Technology 130

Technology Architecture Google Cloud Metadata 130

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Offers Flexibility and Portability- Kubernetes offers a flexible and portable environment for data applications. Data scientists can practice Kubernetes projects to gain proficiency in deploying and managing data pipelines across cloud providers or on-premises infrastructure. Struggling with solved data science projects?

Data Science 40

Data Science Project Pipeline-centric Healthcare 40

ProjectPro

JUNE 6, 2025

Synapse Analytics Offerings : Synapse Analytics tools provide a suite of advanced analytics services: Synapse Data Warehousing: A scalable data warehousing solution designed around lake-centric architecture, allowing independent scaling of compute and storage resources. Gain Expertise Using Microsoft Fabric with ProjectPro!

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40

ProjectPro

JUNE 6, 2025

Managing these processes efficiently demands proficiency in cloud platforms, CI/CD pipelines , and containerization—areas that might be unfamiliar to those with a DevOps or software engineering background. Check Out ProjectPro's Complete Data Engineering Traning with Enterprise-Grade Data Engineering Projects !

Programming 40

Programming Pipeline-centric Machine Learning Database-centric 40

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. What is the role of a Data Engineer? They are required to have deep knowledge of distributed systems and computer science.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Edureka

JULY 3, 2024

ADF connects to various data sources, including on-premises systems, cloud services, and SaaS applications. It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. Transform and Enhance the Data: Once centralized, data undergoes transformation and enrichment.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

AltexSoft

JUNE 7, 2021

These pitfalls along with the need to cover an end-to-end Big Data workflow prompted the emergence of various additional services, compatible with each other. It also provides tools for statistics, creating ML pipelines, model evaluation, and more. It’s also important to understand the core principles behind Hadoop.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Monte Carlo

NOVEMBER 14, 2023

This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. According to one Redditor on r/dataengineering, “Seems like 99/100 data engineering jobs mention Airflow.”

Pipeline-centric 40

Pipeline-centric Google Cloud Data Workflow Python 40

Databand.ai

DECEMBER 29, 2022

Follow Sudhir on LinkedIn 13) Benjamin Rogojan Data Science And Data Engineering Consultant at Acheron Analytics Benjamin is a data science and data engineering consultant with nearly a decade of experience working with companies like Healthentic, Facebook, and Acheron Analytics.

Consulting 52

Consulting BI Data Governance Data Science 52