Data Pipeline Database-centric Hadoop 
Cloudera
SEPTEMBER 17, 2020
To tackle these challenges, we’re thrilled to announce CDP Data Engineering (DE) , the only cloud-native service purpose-built for enterprise data engineering teams. Native Apache Airflow and robust APIs for orchestrating and automating job scheduling and delivering complex data pipelines anywhere.
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? Data Engineers are skilled professionals who lay the foundation of databases and architecture.
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Christophe Blefari
APRIL 8, 2023
I did not care about data modeling for years. I was in the Hadoop world and all I was doing was denormalisation. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. Denormalisation everywhere.
Christophe Blefari
APRIL 8, 2023
I did not care about data modeling for years. I was in the Hadoop world and all I was doing was denormalisation. At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. In the recent years dbt simplified and revolutionised the tooling to create data models. Denormalisation everywhere.
ProjectPro
JUNE 1, 2017
News on Hadoop - May 2017 High-end backup kid Datos IO embraces relational, Hadoop data.theregister.co.uk , May 3 , 2017. Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. Its RecoverX distributed database backup product of latest version v2.0
Confluent
SEPTEMBER 25, 2019
Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.
Dataquest
JANUARY 25, 2017
But what about data engineers? A data scientist is only as good as the data they have access to. Most companies store their data in variety of formats across databases and text files. This is where data engineers come in — they build pipelines that transform that data into formats that data scientists can use.
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