Systems | Development | Analytics | API | Testing

Two related concepts often come up when data teams work on data governance: data provenance and data lineage. While they may seem similar at first glance, there are fundamental differences between the two concepts. Data provenance covers the origin and history of data, including its creation and modifications. On the other hand, data lineage tracks the data’s journey through various systems and processes, highlighting its flow and transformation across different data pipeline stages.

Local governments aim to serve the needs of their communities by fostering a safe, prosperous, and vibrant environment where residents and businesses can thrive. But too often, inefficient processes and manual, paper-based tasks consume valuable time and resources. This leads to delays, errors, and inconsistencies in the delivery of essential services, eroding citizen satisfaction and trust.

AI applications that produce human-like text, such as chatbots, virtual assistants, language translation, text generation, and more, are built on top of Large Language Models (LLMs). If you are deploying LLMs in production-grade applications, you might have faced some of the performance challenges with running these models. You might have also considered optimizing your deployment with an LLM inference engine or server.

Learn how the Fivetran Analytics team uses natural language processing for rationalizing and addressing customer error messages.

Jeremy H - May 20, 2024 The terms RESTful API and Microservices go hand-in-hand when building a microservices-based application. Nevertheless, they refer to very different things. The easiest way to understand the difference between RESTful APIs and microservices is like this: Table of Contents.

Jeremy H - May 20, 2024 In the age of technology, businesses are experiencing a digital renaissance. Customers are interacting with companies through mobile devices and social media platforms more than ever, and they expect a higher level of service. This has forced businesses to re-evaluate how they operate to meet customer demands. One such way companies are changing the way they work is by adopting the benefits of microservices. The question is, why are microservices so helpful to modern enterprises?

With integration to Vertex AI, you can use multimodal LLMs like Gemini Pro 1.0 and Gemini Vision Pro 1.0 in BigQuery to create marketing campaigns.

This article is part of a mini-series showcasing how Countly serves various industries. If you're interested in exploring product analytics from different market perspectives, these articles might be helpful: This isn't our first discussion about the crypto market in relation to product analytics and data privacy. While we’ve previously explored topics like NPS and crash analytics, in this article, we'll take a more comprehensive approach, addressing the following questions.

According to BMC research, 90% of development managers believe that automating a large number of test cases may become the key to their success as the pressure on IT to accelerate innovation intensifies. However, automating testing processes involves an initial investment, and the benefits can vary between teams driven by multiple forces including the application architecture, number of platforms, and the automation technology choices.

Exploratory testing is an essential tool in any comprehensive software testing strategy. If regular scripted testing follows clear directions on a map, exploratory testing ventures off the beaten path to uncover hidden defects. This guide will teach you what exploratory testing is, why it’s critical, how to conduct exploratory testing sessions, and techniques to maximize your results.