A big data platform is a type of IT solution that combines the features and capabilities of several big data applications and utilities within a single solution, this is then used further for managing as well as analyzing Big Data.
It focuses on providing its users with efficient analytics tools for massive datasets.
The users of such platforms can custom build applications according to their use case like to calculate customer loyalty (E-Commerce user case), and so on.
Goal: The main goal of a Big Data Platform is to achieve: Scalability, Availability, Performance, and Security.
Example: Some of the most commonly used Big Data Platforms are :
Hadoop Delta Lake Migration Platform
Data Catalog Platform
Data Ingestion Platform
IoT Analytics Platform
Drivers for Big Data
Big Data has quickly risen to become one of the most desired topics in the industry. The main business drivers for such rising demand for Big Data Analytics are
1. The digitization of society
2. The drop in technology costs
3. Connectivity through cloud computing
4. Increased knowledge about data science
5. Social media applications
6. The rise of Internet-of-Things(IoT)
Example: A number of companies that have Big Data at the core of their strategy like : Apple, Amazon, Facebook and Netflix have become very successful at the beginning of the 21st century.
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