What is Big Data?
Heyy everyone today we will tell some most important and trending topic that is big data.Everyone have question What is Big Data? How is this most trending in the future? and what is the future of the big data?
Big data is an evolving term which describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications.
It can be analyzed for insights that lead to better decisions and strategic business moves.It is a data but with huge data.
Characteristic of Big Data
Big data is often characterize by the 3Vs. the extreme volume of data, the wide variety of data types and the velocity at which the data must be processed.
1.Volume. Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data.
2.Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time.
3.Variety. Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.
Type of Big Data
Three type of Big Data..
Any data which can be stored, access and process in the form of fixed format is termed as a structured data.
Over the period of time, talent in computer science has achieved greater success in developing techniques for working with such type of data also deriving value out of it.
we are foreseeing issues when a size of such data grows to a huge extent , typical sizes are being in the rage of multiple zettabytes.
1021 bytes equal to 1 zettabyte or one billion terabytes forms a zettabyte.
Example- A employee or student table is the example of structure data…
Any data with unknown the structure is classified as unstructured data. In addition to size being huge un-structured data posses multiple challenges in terms of its processing for deriving value out of it.
A typical example of unstructured data is a heterogeneous data source containing a combination of simple text files, images, videos ,audio etc.
Nowday Organizations have wealth of data available with them unfortunately, they do not know how to derive value out of it since this data is in its raw form.
Example- Google search result is the example of unstructure data.
Semi-structured data can contain both the forms of data. We can see semi-structured data as a structured in form it is actually not defined with example a table definition in relational DBMS.
Example – semi-structure data is data representing in a XML file.
Why Big Data is the future of IT jobs?
One of the important question that requires immediate attention of those who are dreaming to build their future in IT industry.
Big Data is creating a great number of jobs with the growing demand for different type of Data from companies.
The companies take important decisions with help their business centric Data.
These data are collected, preserved and provided by the Big Data professionals.
Companies are using Big Data
Coca Cola has been in a leader in the consumer package goods industry for over a century, and their brand are iconic.
They distribute their products to a global network of retailers, have many SKU’s , and must be able to predict buyer behavior to ensure they have the right inventory, promotional ads in the marketplace and sponsoring the right events worldwide.
Coca Cola has been able to get wins with Big Data analytics by:
Create efficiencies in their warehousing, restaurant and retail supply chain operations
Mining loyalty program, competitive, POS , and social media data to understand buyer behavior
Selecting the ideal ingredient mix to produce juice products
Leverage a new breed of storage media to retain, process and analyze vast amounts of information
To make sure its clients keep watching its programming,
Netflix is constantly analyzing trends in….
- Program viewership
- The colors of the promotional visuals of its programming
Devices its clients are watching its programming on
- Trends in the content its customers are consuming
There are many companies working on Big Data all social media plateform…..etc
How to use Big Data?
In case of big data those usually involve Hadoop, MapReduce and Spark, 3 offerings from Apache Software Projects.
Hadoop: is an open-source software solution designed for working with big data. The tools in Hadoop help distribute the processing load required to process massive data sets across a few—or a few hundred thousand—separate computing nodes.
MapReduce: the name implies, helps performs two functions: compiling , organizing (mapping) data sets, then refining those into smaller organized sets used to respond to tasks or queries.
Spark: is also an open source project from the Apache foundation. it is an ultra-fast distributed framework for large-scale processing and machine learning.
Spark’s processing engine can operate as a stand-alone install, a cloud service, anywhere popular distributed computing systems like Kubernetes or Spark’s predecessor, Apache Hadoop, and already run.
How to Learn Big Data
There are many plateform from where you can learn easily..
Some best book to learn Big Data here….
Data Analytics Made Accessible, by A. Maheshwari
- Too Big to Ignore: The Business Case for Big Data, by award-winning author P. Simon
- Machine learning example in our daily life
- Top 3 tools to convert website to Apps
I hope that you understand whats the important of Big Data in future and you will get ready to learn and build the career…