In short, anybody can become a Big Data analyst. All they need to do is master the five essential skills every data analyst should know. Essential big data skill #1: Programming Learning how to code is an essential skill in the Big Data analyst’s arsenal. You need to code to conduct numerical and statistical analysis … Continue reading 5 Essential Skills Every Big Data Analyst Should Have
Tag: Big Data Analytics
Data collection plays the most important role in the Big Data cycle. The Internet provides almost unlimited sources of data for a variety of topics. The importance of this area depends on the type of business, but traditional industries can acquire a diverse source of external data and combine those with their transactional data. For … Continue reading Big Data Analytics – Data Collection
Traditional Data Mining Life Cycle In order to provide a framework to organize the work needed by an organization and deliver clear insights from Big Data, it’s useful to think of it as a cycle with different stages. It is by no means linear, meaning all the stages are related with each other. This cycle … Continue reading Big Data Analytics – Data Life Cycle
With the entire on-going buzz around Hadoop, you might ask, “What is Hadoop and what does it need to do with cloud?” Before I answer this, we ought to talk about huge information. Investigation gives a way to deal with basic leadership through the use of measurements, programming and research to recognize designs and evaluate … Continue reading Relation Between Big Data Hadoop and Cloud Computing
Big Data has taken the technology world by storm! In Layman’s terms, big data can be defined as any set of structured or unstructured data that is too big for regular database tools to handle and process. With huge chunks of data being generated regularly from various digital sources, it is essential for companies to … Continue reading 3 Real Time Big Data Applications
There are many advantages of processing Big Data Analytics in real-time. Knowing errors instantly within the organisation. Implementing new strategies To improve service dramatically Fraud can be detected the moment it happens Cost savings Better sales insights Keep up the customer trends The advantages of processing Big Data in real-time are many: Errors within the … Continue reading What are the advantages of Big Data Analytics?
Processing big data can be a very difficult task because of extreme complexity due to size and diverse data types across businesses.It can be broadly divided into three main types according to their source, which are structured, semi-structured or not structured at all i.e. unstructured. However, a big data is perfectly analysed only when a … Continue reading Top Pain Points of Big Data Analytics