There isn't a spot on the planet where Big Data doesn't exist! In current years, there has been a surge in interest in what is known as Big Data. Let me share some mind-blowing information with you! According to Forbes, people view 4.15 million YouTube videos per minute, send 456,000 tweets on Twitter, upload 46,740 photographs on Instagram, leave 510,000 comments and update 293,000 Facebook statuses!
Consider the massive amount of data generated by such actions. Big Data is being formed as a result of the ongoing generation of data through social media, corporate applications, telecommunications, and other sectors.
What is Big Data, exactly?
So, before I go into detail about what Big Data is, let me clarify what it isn't. The most widespread misconception is that it is only based on data size or volume. But it isn't just about the "massive" amounts of data being gathered. Big Data states to vast volumes of data coming in from a variety of sources and in a variety of forms. There has constantly been a large amount of data saved in databases, but due to the diverse nature of this data, standard RDBMS are incapable of processing it.
Big Data Characteristics
The qualities are as follows:
- Validity refers to the accuracy of data.
- Variability is a term that describes how something changes throughout time.
- Volatility is the tendency for anything to alter over time.
- Vulnerability: the capacity to be hacked or attacked.
- Visualisation is the process of displaying data in a meaningful way.
Depending on the organisation's needs, there are a variety of solutions for processing Big Data, including Hadoop, Pig, Hive, Cassandra, Spark, Kafka, and others.
Thus, with Ekas cloud, you can do big data training online at preferred prices and times.
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