What is Big Data? (2020) | Big Data Analytics | Hadoop & MapReduce | Big...

IN THIS VIDEO I'AM GOING TO DISCUSS What is Big Data? | Benefits of Big Data | Big Data
Analytics | Use of Big Data | Big Data Challenges | How Big Data Works | SAS | HADOOP | The Three Vs of Big Data | etc.
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❤What Is Big Data?

Here is Gartner’s definition, Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity. This is known as the three Vs.

Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.

❤The Three Vs of Big Data

❤Volume-
The amount of data matters. With big data, you’ll have to process high volumes of low-density, unstructured data. This can be data of unknown value, such as Twitter data feeds, clickstreams on a webpage or a mobile app, or sensor-enabled equipment. For some organizations, this might be tens of terabytes of data. For others, it may be hundreds of petabytes.

❤Velocity-
Velocity is the fast rate at which data is received and (perhaps) acted on. Normally, the highest velocity of data streams directly into memory versus being written to disk. Some internet-enabled smart products operate in real time or near real time and will require real-time evaluation and action.

❤Variety-
Variety refers to the many types of data that are available. Traditional data types were structured and fit neatly in a relational database. With the rise of big data, data comes in new unstructured data types. Unstructured and semistructured data types, such as text, audio, and video, require additional preprocessing to derive meaning and support metadata.

❤Benefits of Big Data and Data Analytics:

Big data makes it possible for you to gain more complete answers because you have more information.More complete answers mean more confidence in the data—which means a completely different approach to tackling problems.

❤Use of Big Data

Big data can help you address a range of business activities, from customer experience to analytics.

Product Development-
Predictive Maintenance-
Customer Experience-
Fraud and Compliance-
Machine Learning-
Operational Efficiency-
Drive Innovation-


❤How Big Data Works

1. Integrate
Big data brings together data from many disparate sources and applications. Traditional data integration mechanisms, such as ETL (extract, transform, and load) generally aren’t up to the task. It requires new strategies and technologies to analyze big data sets at terabyte, or even petabyte, scale.During integration, you need to bring in the data, process it, and make sure it’s formatted and available in a form that your business analysts can get started with.

2. Manage
Big data requires storage. Your storage solution can be in the cloud, on premises, or both. You can store your data in any form you want and bring your desired processing requirements and necessary process engines to those data sets on an on-demand basis. Many people choose their storage solution according to where their data is currently residing.

3. Analyze
Your investment in big data pays off when you analyze and act on your data. Get new clarity with a visual analysis of your varied data sets. Explore the data further to make new discoveries. S