Systems | Development | Analytics | API | Testing

BigQuery’s evolution as an autonomous data-to-AI platform relies on new features and services to automate and optimize data analytics and management.

New intelligent unified governance capabilities in BigQuery enable organizations to simplify data management and unlock actionable insights.

Migrating to BigQuery, the data to AI platform from Google Cloud, just got simpler, with AI-powered BigQuery Migration Services enhancements.

Man-in-the-middle attacks are elegantly mitigated in TLS, with TLS1.3 introducing more robust encryption protocols and a streamlined handshake process that significantly reduces the vulnerability to these types of attacks. By employing stricter encryption standards and eliminating outdated cipher suites, TLS 1.3 enhances security measures to effectively counter potential interception and unauthorised data decryption.

CI/CD performance testing seamlessly integrates performance validation directly into your continuous integration and deployment pipeline. Instead of treating performance as an afterthought, this approach makes it an automated part of your development workflow. By testing performance with every build, you can catch issues early, ensure consistent performance across releases, and maintain high quality standards for your application.

Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation services such as compute resources, virtual servers, and dynamic availability zones. For this reason, AWS cloud is one of the most broadly adopted cloud solutions, offering a global network of solutions at generally lower costs compared to on-premises solutions.

Load standardized, compliant data in open table formats from 700+ sources directly into Google’s Cloud Storage to reduce compute costs and increase efficiency.

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.

Whether it’s a financial services firm or a major healthcare provider, no other technology is poised to be as transformative for businesses as artificial intelligence (AI). It is redefining how every organization approaches its data and business applications. And so, it’s within this reality that Cloudera has consistently recognized how important it is to set out a clear and actionable roadmap to tap into the potential of AI and GenAI.

In this blog, I’ll walk you through the essential steps and guidance for parsing network protocols. We’ll assume that you’re already running a Layer 4 (L4) proxy to capture packets into a buffer, and you have both the client and destination connection objects readily available. This guide will focus on helping you convert raw network data into meaningful, structured information.