INTRODUCTION TO BIG DATA
To master Big Data, it is necessary to understand the meaning of the word Big Data. The name Big Data could raise the question of how it is distinct from the regular term data that we use. Data is any symbol or character in a raw form that a computer can store or transmit as signals and record on media. However, raw data has no meaning unless it is processed.
As per the definition, Big Data indicates to the huge amount of unstructured data that business processes generate. It is normally the large amounts of data from websites, emails, transactions, etc.
CATEGORIES OF BIG DATA
Big Data may be unorganized, well-organized or semi-organized. On the basis of the data form in which it is collected, the data is classified into three forms:
1. Structured Data – Data processed, accessed and stored in a fixed form or format is called as structured data.
2. Unstructured Data – Data without any structure or a specific form is called as unstructured data.
3. Semi-structured Data – This kind of data contains a combination of both unstructured and structured data.
MOST TRENDING BIG DATA TECHNOLOGIES
The organizations are investing a large amount in big data technologies, and the big data market is constantly growing. You can also become its part by joining big data course. Big data and analytics have become mainstream now in the IT world. The maximum growth is spending on insurance, banking, investment services and healthcare industry. The most popularly used technologies include data analytics and its application in fraud detection, risk management, and customer service. Trending technologies include the following:
- Hadoop Ecosystem
- Apache Spark
- NoSQL Databases
- R Software
- Predictive Analytics
- Prescriptive Analytics
- Data Lakes
- Artificial Intelligence
- Big Data Governance Solutions
- Big Data Security Solutions
HOW DO YOU LEARN BIG DATA HADOOP?
Big Data is a wide subject, so learning it all needs knowledge of numerous areas. Someone looking to work in the field would need an array of certain skills, including one or more of the following:
- Knowledge of a programming language that relates to data analysis, namely Python, R, SAS or SQL
- A good understanding of Statistics and Maths
- Experience on how to scrape a webpage
- Basic Excel skills
You can join training programs like big data Hadoop training course to learn the technology in detail.