Demystifying data: harnessing Google Duet AI for code-free dataset exploration

Walk through the process of leveraging Google’s Duet AI to gain novel insights from a large dataset—without writing any code. You’ll see how you can explore the data, answer questions, and visualize results—no data engineering experience required.

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Efficient monitoring: configuring SLIs, SLOs, and monitors in Datadog

This engineering blog will guide you through SRE practices and principles, illustrating their application in configuring precise monitoring. Explore SLIs, SLOs, error budgets, and burn rates within an SRE framework. Gain a deeper understanding of application signals to make informed decisions while upholding service reliability.

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Understanding GCVE networking: linking Google Cloud VPC to GCVE

Explore how the Google Cloud VPC communicates with the Google Cloud VMware Engine (GCVE) private cloud network. To ensure network simplicity and optimal networking performance for VMware workloads in Google Cloud, we’ll cover how to select the right connectivity or communication mode for your GCVE environment.

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A deep dive into Cloud DLP de-identification techniques

Learn about Cloud Data Loss Prevention (Cloud DLP), a comprehensive, fully managed service designed to identify and safeguard sensitive data across various sources, including databases, text, and images. This service provides thorough visibility and empowers organizations to classify sensitive information effectively, reducing data-related risks. Cloud DLP employs techniques such as obfuscation and de-identification, including masking

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Kafka migration from on-prem to Confluent

Dive into the migration process from on-prem to Confluent Kafka. This blog will shed light on the data ingesting/transformation processes carried through data pipelines to finally store data to BigQuery. You’ll get valuable insights, guidance, and best practices for successful migration and upgrading to Confluent Kafka clusters, a widely used distributed event streaming platform.

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