As increasing aspects of business go digital, managing data has never been more crucial. According to Forbes, only one in four businesses has a "well-defined data management structure." If you’re looking to improve how you store, manage, and analyze your business data, it’s time to look at intelligent data integration tools. Fivetran is an ETL tool. ETL stands for "extract, transform, load".
A radically new approach to data integration saves engineering time, allowing engineers and analysts to pursue higher-value activities.
Data pipeline orchestration is traditionally engineering-heavy. Use the modern data stack to free your engineers and analysts for higher-value projects.
Fastly’s next-gen WAF (formerly Signal Sciences) integrates with Kong Konnect to block malicious requests to your services. Kong Gateway provides a robust and secure enterprise API management platform to front web traffic. In partnership, Fastly focuses on Layer 7 application security for that traffic. This article will explain how Kong Konnect and Fastly work together.
Harnessing the power of big data is increasingly important not just for business intelligence (BI)—a descriptive model that reveals to enterprises the current state of their companies—but also for data analytics. Data analytics offer predictive models with insight into where a business might head under different scenarios. Your organization's data gives you the opportunity to collect dynamic business intelligence.
Cable and Satellite companies in the US have emerged from a decade of acquisitions, consolidation and shakeout and are beginning to assert themselves as full service providers in the communications and media space. With Comcast just announcing its new suite of cellphone plans this month, and Charter, Altice and Dish ramping up their offerings, the Big Three in wireless – AT&T, Verizon and T-Mobile/Sprint – are looking over their shoulders.
Machine learning models are often used for decision support—what products to recommend next, when an equipment is due for maintenance, and even predict whether a patient is at risk. The question is, do organizations know how these models arrive at their predictions and outcomes? As the application of ML becomes more widespread, there are instances where an answer to this question becomes essential. This is called model explainability.
Hits per second represents the number of requests sent to the server in one second (the load which the server is being hit). Hits per second is the total load set by the concurrent virtual users on the server, no matter if they are executed successfully or not on the server side. The number of requests executed successfully by the server per unit of time is called throughput.
Interest in online banking is skyrocketing. In this context, more and more banking providers are building digital products (especially mobile offerings) and improving their core capabilities to meet user expectations of the instantaneous, always-on, realtime world. In this blog post, we will look at Kafka’s characteristics and explore why it’s such a popular choice for architecting event-driven realtime banking ecosystems.
A code editor gives developers an environment to write code using a specific programming language. While the code editor’s primary purpose is to assist with coding, most of the editors go beyond and help developers with pointing errors, autocomplete suggestions, running the program and other common areas of doubt. We can install a code editor on our laptop or PC, or we can use an online version. This can help us avoid the hassle of installation, saving us both time and memory.
