The Best Big Data Platforms: Everything You Need to Know

The three major big data platforms prominently used in the industry are Apache Hadoop, Apache Spark, and Cloudera. Each of these big data platforms offers the latest features and functionalities to help businesses with big data processing needs.

Google BigQuery is an example of a modern data platform.

A big data platform is essential because it enables organizations to effectively manage and analyze large volumes of complex data. Traditional data processing tools and systems are often inadequate for handling the scale and variety of data generated today. Big data platforms provide the infrastructure, tools, and frameworks necessary to collect, store, process, and analyze massive datasets.

The essential components of a big data platform typically include data collection, data storage, data processing, and data analysis. Data collection involves gathering and acquiring large volumes of data from various sources. Data storage involves storing the collected data in a centralized repository, such as a data lake or a data warehouse. Data processing involves transforming and manipulating the data. Data analysis involves extracting insights and patterns from the processed data using techniques like data mining, machine learning, and statistical analysis.