In this post, we are going to cover a basic Introduction To Big Data. Today, we are encircled by information in our regular routines. The data doubles at regular intervals on this planet that showing the value it holds. Large Data characterizes a gigantic measure of information, both structured and unstructured.
Topics we’ll cover :
- What is Big Data
- Types Of Big Data
- What can you do with big data
- Characteristics Of Big Data
- Big Data Projects
- Examples of Big Data
- Conclusion
What Is Big Data
Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is data with so large size and complexity that none of the traditional data management tools can store it or process it efficiently. Big data is also data but with huge size. With the growth of technologies and services, this large data is produced that can be structured, semi-structured, and unstructured from different sources.
Types Of Big Data
1. Structured Data
The data that can be stored, accessed, and processed in the form of fixed-format is terminated as structured data. Generally, the structured data is coded using the page markup on the page that the information applies to.
Example:
2. Semi-Structured
The Semi-Structured data can contain both forms of data but has some structure. it lacks a fixed or rigid schema. This type of data is generally found in XML Files.
3. Unstructured Data
The Unstructured data can be in the unknown form i.e not organized in a predefined manner. A typical example of unstructured data is a heterogeneous data source containing a mixture of simple text, videos, images.
What Can You Do With Big Data
It assists with advancing business tasks, smooth out the whole lifecycle of the business from unrefined substance to the final result. Large Data frameworks give answers quicker to businesses to take the right information-driven decisions. It works on the nature of service and assists with understanding the mentality of the client. It tailor-makes the product and service as per the needs of the client.
Characteristics Of Big Data
Big data can be described by the following characteristics:
1. Volume: This Volume Presents the most immediate challenge to conventional IT structures. This is the aspect that comes to people’s minds when they think of big data. Many companies already have large amounts of archived data in the form of logs, but do not have the capacity to process the data. the benefit gained from the ability to process a large amount of information is the main attraction of big data analytics.
2. Variety: Variety refers to heterogeneous sources and the nature of data, both structured and unstructured. During earlier days, spreadsheets and databases were the only sources of data considered by most of the applications. Nowadays, data in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc. are also being considered in the analysis applications. This variety of unstructured data poses certain issues for storage, mining, and analyzing data.
3. Veracity: When we are dealing with a high volume, velocity, and variety of data, it is not possible that all of the data is going to be 100 % correct there will be dirty data. The quality of the data being captured can vary greatly. The data accuracy of the analysis depends on the variety of the source data.
4. Velocity: The speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development. Big data is often available in real-time. Compared to small data, big data are produced more continually. Two kinds of velocity related to big data are the frequency of generation and the frequency of handling, recording, and publishing.
Big Data Projects
Big Data is an essential part of the organization. To understand Big Data in the real world. let’s focus on some projects
1. Hadoop YARN Project
In the Hadoop ecosystem, it decouples from the Mapreduce application for computing big data. This will include working on the Hadoop central resource manager. Some of the aspects are:
- Data Importing
- Appending the data and using Sqoop to bring data to HDFS
- Determining end-to-end transaction flow.
2. Hive Table Partitioning Project:
This generally involves working with the HIVE data table for partitioning of data. With the partitioning, the data can be read, deployed on HDFS, and can be made to run the MapReduce jobs faster. There are different ways of partitioning.
- Dynamic Partitioning
- Manual Partitioning
- Bucketing
Examples Of Big Data
1. According to the statistics, about 500+ terabytes of new data get ingested into the databases of social media sites Facebook every day. This data is generated mainly in terms of photos, videos, message exchanges, putting comments, etc.
2. A Jet engine generates about 10+ terabytes of data in 30 minutes of flight time. And with the many thousands of flights per day, the generation of data reaches up to billions of petabytes.
Conclusion
Today Big Data has plagued each industry that we can think of. Because of this, there is an immense change in the manner we direct business. Today clients have developed super-requesting and large information unrest has just energized their inclination for better products and services. Huge information examination is an entire space in itself where significant experiences are gotten from enormous information utilizing the different real-time analytical tools.
Frequently Asked Questions
Q. How is Hadoop related to Big Data?
Hadoop is an open-source framework for storing, processing, and analyzing complex unstructured data sets for deriving insights and intelligence.
Q. How can Big Data add value to businesses?
Big Data Analytics helps businesses to transform raw data into meaningful and actionable insights that can shape their business strategies.
Next Task For You
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. If you want to begin your journey towards becoming a Big Data Engineer then register at our FREE CLASS.
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