Trends

What is big data analytics and what are its key parts?

AuthorZora Lin

Reading Time2 min

PublishedJuly 11, 2024

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Headline

Context

Big Data analytics has revolutionised the way organisations make decisions, operate, and innovate in today’s data-driven world. By harnessing the power of big data, businesses and industries can gain valuable insights, improve efficiency, and create competitive advantages, and society will become more intelligent. Big Data analytics refers to the process of examining large and disparate data sets to uncover hidden patterns, correlations, trends, and insights. This is achieved through advanced computational algorithms and tools that can process and analyse large amounts of data in real or near real time.

Evidence

Pending intelligence enrichment.

Analysis

The goal of big data analytics is to extract valuable information that can guide decisions, improve processes, and reveal new opportunities in various fields. Also read: The powerful synergy of big data and AI: Transforming our world 1. Data collection: Collect data from multiple sources, including structured data from databases and unstructured data from social media, sensors and other sources. 2. Data storage: Use distributed storage systems such as Hadoop Distributed File System (HDFS) or cloud-based storage solutions to efficiently store large amounts of data.

Key Points

Big Data analytics refers to the process of examining large and disparate data sets to uncover hidden patterns, correlations, trends, and insights.
Big Data analytics has some key parts, including data collection, data storage, data processing, data analytics and visualisation.