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Python for Data Engineering

Ascend.io

As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. In this article, our primary focus will be to unpack the reasons behind Python’s prominence in the data engineering domain. Why Python for Data Engineering?

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Databricks, Snowflake and the future

Christophe Blefari

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Native CDC for Postgres and MySQL — Snowflake will be able to connect to Postgres and MySQL to natively move data from your databases to the warehouse. —with Databricks you buy an engine. 3) Spark 4.0

Metadata 147
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Data News — Week 24.08

Christophe Blefari

Is it Java/Scala or Python? Still, I prefer SQL/Python data engineering, as you know me. In order to do it you'll have to write Rust and Python code. Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL). Is it DataFrames or SQL? Is it lake or warehouse?

Data Lake 130
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Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

In this episode field CTO Manjot Singh shares his experiences as an early user of MySQL and MariaDB and explains how the suite of products being built on top of the open source foundation address the growing needs for advanced storage and analytical capabilities. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Database 100
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Most Popular Programming Certifications for 2024

Knowledge Hut

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

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Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. __init__ covers the Python language, its community, and the innovative ways it is being used.

Data Lake 130
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Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. __init__ covers the Python language, its community, and the innovative ways it is being used.

MongoDB 130