Nowadays, more and more companies are starting to implement Real Time Big Data Analytics in their organisation. In fact, it is not a popular trend, but a necessary part of the business. Here are some examples of how big companies succeeded with Real Time Big Data Analytics. Continue reading “Real time Big Data Analytics”
There are plenty of use cases when AWS data pipelines could save a fortune and speed up business decisions. Firstly, it is serverless that means you do not have anything on your server if you do not want to. Everything is starting entirely on AWS side and you pay only per execution.
- Analyse daily users’ behaviour through extracting data from logs
- Analyse transactions for payment system
- Analyse stock exchange reports. And many more
So, datapipeline allows you to spin up entire infrastructure needed for Hadoop cluster. Run all logic you desire to process your data with and shut down. Main steps are:
Continue reading “Data Pipeline use cases”
Imagine, the time has come, when machines can learn like humans. All nightmares we have seen in T2 are becoming reality. So what is ML?
Machine learning is a method of data analysis that allows a business model automatically make adjustments based on regularly used patterns. Continue reading “Machine learning”
Bigger speeds of modern world are creating large flows of data. For business it is matter of survival to keep computing costs at their minimum. Once the organization starts operating big data, the problem of distributing data sets arises. Continue reading “Big Data scaling”
Big Data is a huge data sets that can be analysed to reveal patterns and trends. In the last few years data sets are rapidly increasing and dramatically changing in their complexity. That make for the organisation difficult to be captured, managed, processed or analysed. Continue reading “Why Big Data is important for every business?”