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Adopting Spark Connect

Towards Data Science

The appropriate Spark dependencies (spark-core/spark-sql or spark-connect-client-jvm) will be provided later in the Java classpath, depending on the run mode. java -cp "/app/*" com.joom.analytics.sc.client.S3Downloader ${MAIN_APPLICATION_FILE_S3_PATH} ${SPARK_CONNECT_MAIN_APPLICATION_FILE_PATH} # Launch the client application.

Scala 75
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Data-Oriented Programming with Python

Towards Data Science

They can be represented in OOP languages (Java, C++, etc.), Whereas the author illustrates his examples using JavaScript and Java, this article attempts to demonstrate the ideas in Python. Unlike Java, there is no compilation step in Python, which means there is no compiler optimization when it comes to accessing a class member.

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17 Ways to Mess Up Self-Managed Schema Registry

Confluent

Therefore, not restricting access to the Schema Registry might allow an unauthorized user to mess with the service in such a way that client applications can no longer be served schemas to deserialize their data. Allow end user REST API calls to Schema Registry over HTTPS instead of the default HTTP.

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Five Strategies to Accelerate Data Product Development

Cloudera

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., Deep Java Learning, Apache Spark 3.x, hybrid or public, multi-cloud) and advanced analytical frameworks (e.g.,

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Automating product deprecation

Engineering at Meta

An engineer needs to delete their mobile code (Java, Objective-C) in order to free up and delete their server-side GraphQL definitions. Deleting those GraphQL definitions makes it possible to delete business logic; deleting business logic makes it possible to delete data schema definitions, which in turn allows unused data to be deleted.

Coding 117
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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Rely on the real information to guide you.

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Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation 

Snowflake

Along with the model release, Meta published Code Llama performance benchmarks on HumanEval and MBPP for common coding languages such as Python, Java, and JavaScript. On August 24, Meta released Code Llama , a new series of Llama2 models fine-tuned for code generation.

Coding 89