Remove apache-kafka-3-3-0-new-features-and-updates
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

Netflix Tech

During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added. This pattern grows over time when we need to access and update the existing assets metadata.

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Deployment of Exabyte-Backed Big Data Components

LinkedIn Engineering

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. Historically, deploying code changes to Hadoop big data clusters has been complex.

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Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

DoorDash Engineering

Almost every customer-focused company has an internal practice of dogfooding in which internal employees get the latest features by default. Experimentation isn’t just a cornerstone for innovation and sound decision-making; it’s often referred to as the gold standard for problem-solving, thanks in part to its roots in the scientific method.

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Improving Recruiting Efficiency with a Hybrid Bulk Data Processing Framework

LinkedIn Engineering

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. A typical merger & acquisition scenario.

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Apache Ranger for security policy management. Updated Ranger Key Management service. Characteristics. Non-secure.

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50 PySpark Interview Questions and Answers For 2023

ProjectPro

Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark. PySpark has exploded in popularity in recent years, and many businesses are capitalizing on its advantages by producing plenty of employment opportunities for PySpark professionals.

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