Recap We discussed earlier in Part 1 of Blockchain Applications of Data Science on this blog how the world could be made to become much more profitable for not just a select set of the super-rich but also to the common man, to anyone who participates in creating a...
The Potential of Blockchain Technology Unless you've been living with your head under a rock for the last 4 years, you will definitely have heard of Bitcoin. You would also have heard about the technology behind Bitcoin, Blockchain. Now cryptocurrencies are...
Introduction In a world where we generate data at an extremely fast rate, the correct analysis of the data and providing useful and meaningful results at the right time can provide helpful solutions for many domains dealing with data products. We can apply this in...
The analytics market is booming, and so is the use of the keyword – Data Science. Professionals from different disciplines are using data in their day to day activities, and feel the need to master the start-of-the-art technology in order to get maximum insights from...
Data Science is everyone’s word of the mouth in the current analytical eco-space. The study of Data Science which encompasses various subjects like Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, and so on has made tremendous...
Introduction One of the major reasons organizations migrate to the AWS cloud is to gain the elasticity that can grow and shrink on demand, allowing them to pay only for resources they use. But the freedom to provide on-demand resources can sometimes lead to very high...
Introduction Hadoop is a software framework from Apache Software Foundation that is used to store and process Big Data. It has two main components; Hadoop Distributed File System (HDFS), its storage system and MapReduce, is its data processing framework. Hadoop has...
Introduction Enterprises have long relied on BI to help them move their businesses forward. Years ago, translating BI into actionable information required the help of data experts. Today, technology supports BI which is accessible to people at all levels of an...
Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent....
Introduction Building data pipelines is a core component of data science at a startup. In order to build data products, you need to be able to collect data points from millions of users and process the results in near real-time. Today, many organizations nowadays are...