There comes a time in every developer’s life (or daily routine, we’re not here to judge) where they have to go and fix a bug. Back in the days when I used to be a developer, I distinctly remember how each time I would go face to face with a bug, my favorite method to fix it was to add log lines. I mean, why not, right?

This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.

Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications. Nonetheless, it’s still possible to fall into numerous traps when trying to accurately interpret your data. That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs. Our first expert Jitin Narang, CMO at TechAHead contributed the following five top data mistakes to avoid:

In this post, we’re sharing some of the best insights from specialists across a variety of industries to answer: What is downtime & why is downtime so detrimental for businesses? As well as answering this key topic we’ll also cover how businesses can take steps to prevent downtime & understand the underlying causes behind this often costly concern. Downtime is a term used to refer to a period of time in which a system, website or service is unavailable to its users.

Kotlin Multiplatform apps are a great option for big projects. They allow us to unify the business logic under a Kotlin module while using the latest perks of each platform’s individual UI, significantly reducing development costs. Debugging in Kotlin Multiplatform is easy, as you can use typical tools like adding breakpoints and printing logs in the console – and in Bugfender. Continue reading for a full tutorial. KMM stands for Kotlin Multiplatform Mobile.

Business Intelligence (BI) tools allow businesses to gather, process and analyse large amounts of data so that they are able to make decisions and see opportunities as well as visualise and report on key metrics for Stakeholders. The range of Business Intelligence tools available to use is an ever-expanding list with newcomers to the market appearing every year.

Cloudera services logs offer a breadth of information to assist in cluster maintenance; from assisting in security checks, auditing tasks, and validation for performance tuning and testing tasks – to name a few. However, log records generated by these services do not hold the same value for every organisation.

The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.