Systems | Development | Analytics | API | Testing

How Material Security Protects The Privacy The Productivity Suite

Abhishek Agrawal, Co-founder and CEO of Material Security, chats with "Powered by Snowflake" host Phoebe He about his company's mission to protect the productivity suite, namely Microsoft 365 and Google Workspace. Its customer base crosses all industries as well as customers of all sizes. The conversation includes a demo of the platform that shows how to set up the solution and the kind of reports it generates for an organization's security team. It also covers how the solution accounts for organization's who have employees working from home and who use their mobile phones to conduct business communications.

Event-Driven Architecture (EDA) vs Request/Response (RR)

In this video, Adam Bellemare compares and contrasts Event-Driven and Request-Driven Architectures to give you a better idea of the tradeoffs and benefits involved with each. Many developers start in the synchronous request-response (RR) world, using REST and RPC to build inter-service communications. But tight service-to-service coupling, scalability, fan-out sensitivity, and data access issues can still remain.

A Look Back at the Gartner Data and Analytics Summit

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.

Introducing Qlik's AI Accelerator - Delivering Tangible Customer Outcomes in Generative AI Integration

At Qlik, we're witnessing a thrilling shift in the landscape of data analysis, customer engagement, and decision-making processes, all thanks to the advent of generative AI, especially Large Language Models (LLMs). The potential for transformation across all sectors is enormous, but the journey toward integration can be daunting for many businesses with many leaders wondering where to start in integrating the exciting capabilities of AI into their daily workflows.

How to Navigate the Costs of Legacy SIEMs with Snowflake

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. They have become indispensable for organizations worldwide, particularly for security teams. But as much as security operation center (SOC) analysts have come to rely on solutions like Splunk, there is one complaint that comes up for some: Costs can quickly add up.

Building an effective test automation framework synergized with Xray Enterprise

Test automation is an essential component in today's software development landscape, where speed and quality are critical. It ensures the timely delivery of high-quality software by automating repetitive and time-consuming testing tasks. However, the journey to effective test automation comes with challenges such as selecting the right tools, managing complex test cases, and enabling seamless integration of testing into the software development lifecycle.

Kafka-docker-composer: A Simple Tool to Create a docker-compose.yml File for Failover Testing

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.

Data Governance Framework: What is it? Importance, Pillars and Best Practices

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations.