Systems | Development | Analytics | API | Testing

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Reimagine Batch and Streaming Data Pipelines with Dynamic Tables, Now Generally Available

Since Snowflake’s Dynamic Tables went into preview, we have worked with hundreds of customers to understand the challenges they faced producing high-quality data quickly and at scale. The No. 1 pain point: Data pipelines are becoming increasingly complex. This rising complexity is a result of myriad factors.

Impact of AI on #SoftwareTesting: Are Testers Ready? | #QonfX 2024

Join industry experts Rahul Verma, Navin Nair, Nagabhushan Ramappa, and our amazing host Balaji Ponnada in an insightful panel discussion on "AI's Impact on Testing, Tester Roles, and Tester Readiness." In this session, the panelists discuss how artificial intelligence (AI) has revolutionized software testing, sharing the complexities and opportunities of AI-driven testing environments. Through real-world examples and interactive discussion, they explore the changing role of testers in the AI era and provide valuable insights into the future of software testing.

Federated Connectivity: Unlocking Data Silos with API Gateways

"The whole is more than the sum of its parts." Aristotle is credited with this quote, and it's true in the world of data. Legacy systems typically approached their role in a limited manner. Each system was intended to be used by a certain user set and handle well-defined processes and associated data. The result was a disintegrated environment with data being difficult to obtain, and frequently out of date. The parts couldn't easily cooperate to make a whole.

How to Get Data Out of ERP Systems with APIs

Enterprise Resource Planning (ERP) systems are designed to streamline business operations by centralizing data across an organization. However, extracting and utilizing this data can be a complex and time-consuming process. One solution to this problem is the use of APIs (Application Programming Interfaces), which allow you to get data out of ERP systems and other software applications.

Data Prep for AI: Get Your Oracle House in Order

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

Data Accessibility: A Hurdle Before SAP's AI Integration

Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.

The engineering behind autoscaling with HashiCorp's Nomad on a global serverless platform

There are several ways to handle load spikes on a service. However, these methods are not cost-effective: you either pay for resources you don't use, or you risk not having enough resources to handle the load. Fortunately, there is a third way: horizontal autoscaling. Horizontal autoscaling is the process of dynamically adjusting the number of instances of a service based on the current load. This way, you only pay for the resources you use, and you can handle load spikes without any manual intervention.

GitTogether | GitOps Dynamics: Navigating the new era of DevOps! | Megha Kaur

GitOps enhances the DevOps experience/process. My talk is based on GitOps. I will be explaining GitOps workflow, its use cases and how companies can incorporate GitOps in their organization. I will share my experience on how I started using GitOps and what problems it is solving. I will be giving a small demo on GitOps concept to show how deployment can be done with the use of GitOps in Kubernetes. This will help developers, organization and each individual.

How to Achieve Enterprise Continuous Testing With Perforce

In the age of digital transformation, enterprise continuous testing has become critical for agile and efficient software development. But enterprises often spend too much time managing a multitude of solutions and integrations with zero cohesion between solutions and an inability to gain clear insights. It takes so much time to manage the areas around testing that there is little time for the most important part — the testing itself.