Systems | Development | Analytics | API | Testing

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Episode 3: Taming data chaos in digital advertising | Tinuiti

Lakshmi Ramesh, Vice President of Data Services at Tinuiti, which services brands like Rite Aid, Nestle, and Instacart, joins us to talk about her work at the intersection of tech, data and marketing. We discuss how the company manages data from hundreds of platforms to serve both clients and internal teams.

How to Use Flink SQL, Streamlit, and Kafka: Part 2

In part one of this series, we walked through how to use Streamlit, Apache Kafka, and Apache Flink to create a live data-driven user interface for a market data application to select a stock (e.g., SPY) and discussed the structure of the app at a high level. First, data with information on stock bid prices is moved via an Alpaca websocket, then, it’s produced to a Kafka topic in Confluent Cloud where it is also processed with Flink SQL.

API Design-First: Enhance Your Development Process

Why should you prioritize an API design-first approach in your development strategy? This essential methodology promotes early and thorough API specification, fostering a blueprint that guides the entire development process. You can cut straight to improved efficiency, consistency, and quality in your API projects by embracing this approach from the start.

How To Compare Two Json Files?

As a developer, you usually work with JSON data, and may need to compare JSON files. This might involve checking a list of products from the database against a previous version or comparing an updated user profile returned by your REST API with the original data sent to the server. In this article, we’ll explore several methods and tools developers can use to compare two JSON files effectively.

Embracing the Power of AI and Machine Learning in Software Testing

In today's rapidly evolving digital landscape, superior software is essential, whether it be the apps on our phones or the intricate systems supporting various business requirements. The process known as Software Testing (ST) has undergone an immense transformation in order to meet this necessity where Artificial intelligence (AI) and machine learning (ML) play a great role in QA solutions.

insightsoftware's Open Business Data Fabric

Imagine you're in finance, juggling with data scattered across countless applications. Combining information from various sources for tasks like budgeting, forecasting, and regulatory unnecessarily hard. The traditional data warehouse approach promises a solution, but it comes with a hefty price tag. It's slow, expensive to maintain and requires constant IT involvement. Data Fabric offers a more promising approach. It connects to various data sources in real time, eliminating outdated information and providing a unified view for applications and BI tools.