Over the past year, we’ve been dedicated to making Databox faster and more powerful for you and your team. We’ve introduced new features, visualizations, and integrations to help you leverage your data to make better decisions. In case you missed any of these updates, we’ve put together a roundup of the top highlights from 2024.

In today’s fast-paced, data-driven business landscape, having a comprehensive view of your operations is essential for success. Dashboards provide a centralized, real-time visual representation of key metrics, tasks, and performance indicators, enabling teams to stay organized and make informed decisions. ClickUp’s customizable dashboards elevate this by allowing users to build and personalize their own layouts tailored to specific needs.

Data pipeline automation plays a central role in integrating and delivering data across systems. The architecture is excellent at handling repetitive, structured tasks, such as extracting, transforming, and loading data in a steady, predictable environment, because the pipelines are built around fixed rules and predefined processes. So, they will continue to work if you maintain the status quo, i.e., as long as your data follows a consistent structure.

One of the benefits of Ruby's developer-friendly syntax is that it's straightforward to quickly build scripts to automate tasks. Web scraping with Ruby is fun, useful, and straightforward. In this article, we'll explore using HTTParty to pull a web page and check it for a given string. To be specific, we'll build a cron job in Ruby to check if a product is in stock on a website!

Data transformation is a critical step in the data pipeline process, enabling organizations to prepare and process their data for creating dashboards, reporting, and analytics. The right tools can make this process efficient, secure, and scalable. In this blog, we will explore how data transformation tools handle the most common tasks, such as filtering, aggregating, joining, and cleansing data to move to a data lake or a cloud platform of your choice, and what to consider when evaluating these tools.

In today's data-driven landscape, the ability to gather, process, and analyze data has become essential for businesses of all sizes. While extracting, transforming, and loading (ETL) data into a centralized warehouse like Snowflake has long been a standard practice, the concept of data activation is gaining traction as the next step in deriving value from data. But what exactly is data activation, and how does it relate to ETL?

In today's data-driven world, businesses are constantly seeking ways to derive insights from their analytics data to make informed decisions. Snowflake, a cloud-based data platform, has emerged as one of the leading solutions for businesses looking to handle analytics at scale. Built for the cloud from the ground up, Snowflake is known for its flexibility, scalability, and unique architecture, which makes it a go-to choice for modern data analytics.

BigQuery vector search, now GA, empowers data and AI use cases such as semantic search, similarity detection, and RAG with an LLM.

At Starwest 2024, Mr. Anand Gopalakrishnan delivered an insightful presentation titled "AI-Assisted Exploratory Testing for Healthcare Software Based on the STEEEP Domain of Healthcare Quality." He highlighted how artificial intelligence is revolutionizing exploratory testing by enabling real-time risk assessment and providing deeper insights into software performance.

A developer portal works as a centralized hub for accessing, managing, and integrating APIs. It supports developers with the tools, documentation, and support they need to succeed. In this article, you’ll learn the top five best practices for creating a dev portal that developers love. Implement Tier-Based Pricing with Moesif 14 day free trial.