article thumbnail

Setting up Data Lake on GCP using Cloud Storage and BigQuery

Analytics Vidhya

The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

article thumbnail

The Race For Data Quality in a Medallion Architecture

DataKitchen

The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. Store the data in in Google Cloud Storage to ensure scalability and reliability. Data transformation and cleaning techniques.

article thumbnail

How to Build a Data Lake?

ProjectPro

However, the modern data ecosystem encompasses a mix of unstructured and semi-structured data—spanning text, images, videos, IoT streams, and more—these legacy systems fall short in terms of scalability, flexibility, and cost efficiency. That’s where data lakes come in.

article thumbnail

9 Data Integration Projects For You To Practice in 2025

ProjectPro

Think of the data integration process as building a giant library where all your data's scattered notebooks are organized into chapters. You define clear paths for data to flow, from extraction (gathering structured/unstructured data from different systems) to transformation (cleaning the raw data, processing the data, etc.)

article thumbnail

Databricks Delta Lake: A Scalable Data Lake Solution

ProjectPro

Top 3 Azure Databricks Delta Lake Project Ideas for Practice The following are a few projects involving Delta lake: ETL on Movies data This project involves ingesting data from Kafka and building Medallion architecture ( bronze, silver, and gold layers) Data Lakehouse. What format does Delta lake use for storing data?

article thumbnail

ETL vs ELT - What’s the Best Approach for Data Engineering?

ProjectPro

ELT involves three core stages- Extract- Importing data from the source server is the initial stage in this process. Load- The pipeline copies data from the source into the destination system, which could be a data warehouse or a data lake. Scalability ELT can be highly adaptable when using raw data.