No one can imagine today’s life without video. It became the main source of information. The information transferred through video is the most easily digestible. Now you can watch video everywhere and on every device. Video consumers are becoming more spoiled and expecting higher quality and faster services e.g. streaming. Nobody wants their content interrupted because of video buffering, skipped frames or the dreaded crashed players. So, that’s why it is very important that video is of equally high quality on all possible devices. This can be easily integrated with the help of AWS Elastic Transcoder. Let’s have a look at it. Continue reading “Video transcoding”
DynamoDB is an Amazon service which differs from other their services by allowing developers to purchase a service based on throughput, rather than storage. Although the database does not automatically scale, administrators can request more throughput and DynamoDB will spread the data and traffic over a number of servers using solid-state drives, predictable performance. It offers integration with Hadoop via Elastic MapReduce.
Continue reading “Amazon Dynamo DB”
What it is an asset for a business? You can hear very different answers depending on the manager you are asking. Consultancy agency would value brains of their workers. IT business will name hot technologies and latest trends, team work, ethic etc. But there is an umbrella which is protecting them all. Literally, any type of business is following the path of meeting new customers and keep existing ones as happy as possible. Continue reading “Customer relationship management (CRM)”
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”
In good old days every party connected to the internet and wishing to distribute data had to have own servers. This could lead to massive over budgeting and prevent business from being efficient. Literally, business had to take care of infrastructure, which was most of the time sitting and doing nothing but being extremely expensive. Then AWS came on stage and offered a quite unique kind of service. Now if business has a big CPU demand, it can be utilised through pay-as-you-go model. AWS will rent it for you and let you get all of your data with paying only fraction of the cost of own infrastructure.
Continue reading “How to start using AWS to improve your business performance.”
So when you say startup, what are you thinking about? It’s a lot of excitement, fun and sweating with rolled up sleeves work. It’s so called expectation of success and prosperous future. Sadly, the times when something simple gave start to enormous success have passed. In the modern world hard work is not enough and even can cause some harm if it’s not properly estimated and predicted. For conquering the world every startupper should have a plan of action and understand how to build a startup from scratch and gain goals.
Continue reading “Why a team is a key to startup success”
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?”