Data Engineering Podcast

JUNE 1, 2020

Summary Data lakes offer a great deal of flexibility and the potential for reduced cost for your analytics, but they also introduce a great deal of complexity. What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert.

Data Lake 100

Data Lake Database Building Lambda Architecture 100

Data Engineering Podcast

AUGUST 21, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Lambda Architecture 100

Lambda Architecture MongoDB MySQL Scala 100

Data Engineering Podcast

JUNE 16, 2019

This conversation was useful for getting a better idea of the challenges that exist in large scale data analytics, and the current state of the tradeoffs between data lakes and data warehouses in the cloud. Support the show and get your data projects in order!

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Data Engineering Podcast

MAY 11, 2020

You monitor your website to make sure that you’re the first to know when something goes wrong, but what about your data? Tidy Data is the DataOps monitoring platform that you’ve been missing. You monitor your website to make sure that you’re the first to know when something goes wrong, but what about your data?

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

Data Warehouse 102

Data Warehouse Kafka Lambda Architecture Telecommunication 102

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Data ingestion is the process of acquiring and importing data for use, either immediately or in the future.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

ProjectPro

AUGUST 24, 2021

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. 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