Introduction Amazon Simple Storage Service (S3) is a cloud storage platform that allows you to store and access data from anywhere on the internet. Tableau is a powerful data visualisation tool that will enable you to analyse and explore data in an interactive and visually appealing way. Connecting Tableau to an S3 bucket will allow you to quickly access and analyse large amounts of data stored in the cloud. In this blog post, we will walk through the steps of connecting Tableau to …
Category: Analytics
Data analytics is the process of examining large data sets to uncover patterns and trends. By doing so, businesses can make better decisions about how to run their operations. Data analytics is a powerful tool that can be used to make informed decisions about everything from product development to marketing strategy. Three primary tools are used in data analytics: data mining, data visualisation, and predictive modelling. Each of these tools serves an essential purpose in the data analysis process. 1. …
What exactly is a data stack? A data stack is a process of collecting, storing, and analyzing data in order to make better judgments. Data stacks are made up of many components that work together to build an end-to-end solution for reporting on your company’s most critical data. These components include ETL (Extract, Transform, and Load), which extracts raw data from multiple sources such as social media or portals, transforms it into useful formats such as tables with columns, and …
This blog post will discuss what you can learn in 48 hours of reading about Neo4j. We’ll also discuss why graph databases are useful and how to use them. Finally, we’ll give a summary of the fundamentals of Neo4j. Graph database systems have been around for over 20 years, but they’re just now starting to get adopted by businesses because their benefits are so immense! For example, graphs are great for modelling relationships between entities, which relational databases struggle with …
Our best shot at decentralizing business analytics At this point, every business recognizes the critical nature of data analysis for business growth and data-driven decision-making. By 2023, companies worldwide will have generated 163 zettabytes of data. So why, then, are so few businesses leveraging data to inform business decisions? Data analytics is not for the faint of heart. Data on its own means very little; it only becomes information when combined with context. And can we then glean insights from …
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