Tag: Data and Analytics

Time series databases (TSDBs) are designed for real-time, time-sensitive data, making them perfect for IoT, system monitoring, and financial analysis. Unlike traditional relational databases, TSDBs handle high-speed data ingestion and time-based queries with ease. Discover how TSDBs can improve data accuracy, speed, and scalability for your projects, offering superior performance for real-time insights.

Get data ready: Data readiness isn’t merely about having a vast amount of data; it’s about having the right data, properly prepared and processed. In the journey towards successful ML implementation, the way data is managed from collection to analysis plays a pivotal role. Here’s a detailed look at each aspect of data readiness.

Gaining stronger control over your data is a frequent topic in our conversations with clients. Rather than starting with the technology, the aim should be to get value from your data, transforming raw information into actionable insights. Unlike dark data, which is collected but not utilised, activated data is analysed and used to inform decisions, create new business models, and enhance customer experiences.

Let’s go on a journey through the evolution of database technologies—a wild ride from the early days of proprietary systems to the modern era of data lakehouses. This blog provides an overview for anyone interested in the evolution and future of data handling.

In this blog post, we will tackle a real-world data engineering challenge. We will target the datasets via the open-sourced platform Kaggle and use the GCP services to run PySpark functions for the ETL tasks and manage the queries and results for future analytics and reporting purposes.