Data Engineering Podcast

AUGUST 21, 2022

Select Star’s data discovery platform solves that out of the box, with an automated catalog that includes lineage from where the data originated, all the way to which dashboards rely on it and who is viewing them every day.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 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. What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?

Lambda Architecture 100

Lambda Architecture Cloud 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 91

Data Warehouse Kafka Lambda Architecture Telecommunication 91

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. To explore life at Pinterest, visit our Careers page.

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

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. Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley.

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

Data Engineering Podcast

JUNE 1, 2020

How does the introduction of a universal SQL layer change the staffing requirements for building and maintaining a data lake? What are the advantages of a data lake over a data warehouse if everything is being managed via SQL anyway?

Data Lake 100

Data Lake Database Building Lambda Architecture 100