BIg Data technologies allow you to conquer the modern information flood.
Blockchain is a technology that allows for an encrypted, distributed, and public ledger.
Containers are remaking the ways in which we run and manage software.
Data Science lets us understand how we interact with and explore our world.
When we see data, we find patterns and relationships that cannot be located in any other way.
DevOps is a set of tools, practices, and process to improve the development of software
Machine learning is a type of artificial intelligence that allows computers to gain experience without being explicitly programmed.
Python is a general purpose programming language with some of the best data libraries available anywhere.
Don't lose the forest for the trees.
When first starting out, the data landscape can be overwhelming. Analytics, Big Data, machine learning and artificial intelligence, data storage technologies, programming languages, statistical methodology, and blockchain are all deep subjects. Take a look at some of these articles to get started.
What is Blockchain? Blockchain is hyped as the most transformative technologies in recent history. What is it, why is it important, and what problems does it solve?
Hyperledger Fabric. Hyperledger Fabric is becoming the most popular blockchain framework used by enterprises. What does it take to get started developing with it?
Machine Learning and Artificial Intelligence
Models of Machine Learning. Data touches every aspect of our lives. Machine learning enables us to teach computers to understand and make use of the insight they provide. But how does it work? This article gets into the specifics.