Big Data Analytics

Big Data -

Big Data is a huge amount of information sets that can't be handled, stored, or analysed with traditional systems.

There are currently millions of data sets that provide data at an incredibly fast rate. These data sources are accessible on a global scale. Social media networks and platforms are some of the biggest providers of data.

Additionally, data is available in a variety of formats, including structured, semi-structured, and unstructured data. For example, data in a typical Excel sheet is classified as structured data since it has a specific format. Emails, on the other hand, are classified as semi-structured data, while your photos and videos are classified as unstructured data. Big Data is the totality of all this data.

“Without data you’re just another person with an opinion.”

-         W. Edwards Deming

Big Data Analytics -

Big Data analytics is a method used to extract important insights such unobserved correlations, hidden patterns, market trends, and consumer preferences. Big Data analytics offers a number of benefits, including the ability to use it to improve decision-making and prevent fraud. A company can boost productivity, maximise profit, or make more strategically sound decisions with the use of data analytics.

Importance of Big Data Analytics -

Big Data analytics is the key driver behind everything we do online today, across all industries.

As an illustration, consider the video-streaming website YouTube. Each day, the company's millions of users produce enormous amounts of data. The cloud-based platform uses this data to automatically generate suggested videos that used a smart recommendation engine that takes into consideration likes, shares, search history, and other factors. The techniques, tools, and frameworks a result of big data analytics sis what make this possible.

The top recommendations area on Instagram, which is based on your likes, shares, search history, and other factors, must have grabbed your attention if you use it. It is effective to use a recommendation engine that makes use of data filtering technologies, which gather data and then filter it using algorithms. Applications like Spotify, Instagram, YouTube, and others carry out this function.

"Information is the oil of the 21st century, and analytics is the combustion engine."

-         Peter Sondergaard

Benefits and Advantages of Big Data Analytics

1.      Risk Control.

2.      Product innovation and development.

3.      Faster and Better Decision Making in the workplace.

4.      Enhance the Client Experience.

Big Data Analytics Tools

Here are some of the key big data analytics tools:

Hadoop - helps in data analysing and data storing

MongoDB - used with frequently changing datasets

Talend - used for managing and integrating data

Cassandra - a distributed database that manages data chunks

Spark - used for processing and analysing huge amounts of data in real-time

STORM - a real-time, open-source computing system

Kafka - a fault-tolerant storage system that uses a distributed streaming platform