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Develop And Test AWS Glue 5.0 Jobs Locally Using A Docker Container
AWS Glue is a serverless data integration service that allows you to process and integrate data coming through different data sources at scale. AWS Glue 5.0, the latest version of AWS Glue for Apache Spark jobs, provides a performance-optimized Apache Spark 3.5 runtime experience for batch and stream processing. With AWS Glue 5.0, you get improved performance, enhanced security, support for the next generation of Amazon SageMaker, and more.
Develop and test AWS Glue 5.0 jobs locally using a Docker container | Amazon Web Services
AWS Glue is a serverless data integration service that allows you to process and integrate data coming through different data sources at scale. AWS Glue 5.0, the latest version of AWS Glue for Apache Spark jobs, provides a performance-optimized Apache Spark 3.5 runtime experience for batch and stream processing. With AWS Glue 5.0, you get improved performance, enhanced security, support for the next generation of Amazon SageMaker, and more.
Python Package Management: Do You Know Where They Live?
The other day I was happily installing some Python packages with pip when suddenly I realized: I just downloaded 3GB of data and have no idea where it went! If you’ve ever found yourself in this situation, welcome to the club. Let’s uncover the mystery of the missing Python packages together and learn how to better manage our precious disk space. The Fascinating World of Python Packages Before we dive into "where the hell is my package?", let’s understand a bit better how this ecosystem works.
Gestión de Paquetes de Python: ¿Sabes Dónde Viven?
Otro día estaba yo allí, instalando alegremente unos paquetes de Python con pip, cuando de repente me di cuenta: ¡acabo de descargar 3GB de datos y no tengo la menor idea de a dónde fueron! Si alguna vez te has encontrado en esa situación, bienvenido al club. Vamos a desentrañar juntos este misterio de los paquetes de Python desaparecidos y aprender cómo gestionar mejor nuestro precioso espacio en disco.
How to exploit Log4j vulnerabilities in VMWare…
A vulnerability was recently disclosed for the Java logging library, Log4j. The vulnerability is wide-reaching and affects both open source projects and enterprise software, meaning we need to understand how to ID and remediate it in our network environments. Shortly after the issue was disclosed, VMWare announced that several of their products were affected.
Setup Custom Jupyter Kernel in CML
Cloudera Machine Learning (CML) ships with a default Jupyter kernel as part of the base engine images. Data Scientists often prefer to use a specialized, custom kernel in Jupyter that makes their work more efficient. In this community post we will walk through how to customize a Docker container image with a sparkmagic Jupyter kernel and how to deploy it to a CML workspace.
How to setup custom Jupyter Kernel in CML
By default, Cloudera Machine Learning (CML) ships Jupyter kernel as part of the base engine images. Data Scientists often prefer to use a specialized custom kernel in Jupyter that makes their work more efficient. In this community post, we will walk through how to customize a Docker container image with a sparkmagic Jupyter kernel and how to deploy it to a CML workspace.
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