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.

In this article, we’ll cover the key differences between APIs and microservices as answered by our contributors consisting of senior decision-makers and CTOs from technology companies around the world. One of the most popular ways to consume data from a web service is through a web application programming interface (API). By interface, we are referring to an agreement, or schema, that anyone using this API must abide by.

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.

In this post we’re covering a range of the best reasons why you should consider using Elasticsearch for your business or website. We’ve brought together some of our favourite experts working in eCommerce and Technology to let us know why they love using Elasticsearch for their projects & why they would recommend this powerful search engine. Two of the biggest reasons for using Elasticsearch were detailed by Usama Raudo, Marketing Strategist at Within The Flow.

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.

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.

In our latest post we’re covering a range of the different kinds of problems and threats data analysis can help protect your business from. We’ve brought together some of our favourite experts working in big data, cybersecurity and tech to shed light on some of the practical applications of using data analysis for protecting your operations.

One of the most common questions that businesses operating under GDPR, LGPD or other similar data regulations have is how long should you keep data? As answers to this question typically seem to vary widely to clear up confusion, we’ve gathered insights from business leaders & specialists across a variety of industries to try and answer this question and shed light on what are reasonable timeframes to keep hold of data, whether that may be financial, employee or other potentially sensitive data.