Data Engineering Podcast

JUNE 16, 2019

In this episode Michael Armbrust, the lead architect of Delta Lake, explains how the project is designed, how you can use it for building a maintainable data lake, and some useful patterns for progressively refining the data in your lake. What are the benefits of a data lake over a data warehouse?

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Data Engineering Weekly

JULY 9, 2023

The platform approach to enable the citizen machine learning engineers is a great perspective while building both the Data & ML platform. Architectural patterns like Lambda Architecture and Kappa Architecture emerged to bridge the gap between real-time and batch data processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

ProjectPro

AUGUST 24, 2021

So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

MAY 2, 2024

Spark SQL features are used heavily in warehouses to build ETL pipelines. Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

Knowledge Hut

OCTOBER 30, 2023

This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects. The article will also discuss some big data projects using Hadoop and big data projects using Spark.

Big Data 52

Big Data Coding Project Medical 52