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Today Big Data is the biggest buzz word in the industry and each and every individual is looking to make a career shift in this emerging and trending technology Apache Hadoop. So you have to make stand out from them.
Any piece of information can be considered as data.This data can be in various forms and in various sizes. It can vary from small data to very big Data. Extremely large sets of Data is called Big Data.
Any data which cannot reside in Hard disk or in a single system is considered as Big Data. Its size is more than 1000s of GBs.
If you are interested to know the data generation then take a look at below infographics which is showing the amount of data generation.
One of the most important is that we Over 90% of all the data in the world was created in the past 2years .
Now think that how rapidly we are generating data.
This tutorial will answers questions like what is Big data, why to learn big data, why no one can escape from big data. We will also discuss why industries are investing heavily in big data, why professionals are paid huge in big data, why industry is shifting from legacy system to big data, why big data is the biggest paradigm shift IT industry has ever seen, why, why and why???
2. Why learn Big Data?
To get an answer for Why You should learn Big Data? Let’s start with what industry leaders say about Big Data:
Industries today are searching new and better ways to maintain their position and be prepared for the future. According to experts, Big Data analytics provides leaders a path to capture insights and ideas to stay ahead in the tough competition.
3. What is Big Data Analytics?
So, What is Big data? Different publishers have given their own definition for Big data to explain this buzzword.
3.1. Big Data Definition
In other words, big data gets generated in multi terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.
80% of the data getting generated today is unstructured and cannot be handled by our traditional technologies. Earlier, an amount of data generated was not that high. We kept archiving the data as there was just need of historical analysis of data. But today data generation is in petabytes that it is not possible to archive the data again and again and retrieve it again when needed as data scientists need to play with data now and then for predictive analysis unlike historical as used to be done with traditional.
It is saying that- “An image is a worth of thousand words“. Hence we have also provided the Video tutorial for more understand what is Big data and what is the need to learn Big data.
4. Big Data Use-cases
After learning what is Big data analytics. Let us now discuss various use cases of Big data. Below are some of the Big data use cases from different domains:
5. Big Data Technologies
There are lots of technologies to solve the problem of Big data Storage and processing. Such technologies are Apache Hadoop, Apache Spark, Apache Flink, etc. Let’s take an overview of these technologies in one by one-
5.1. Apache Hadoop
Big data is creating a Big impact on industries today. Therefore World’s 50% of the data has already been moved to Hadoop – The Heart of Big Data. It is predicted that by 2017, more than 75% of the world’s data will be moved to Hadoop and this technology will be the most demanding in the market as it is now.
5.2. Apache Spark
Further enhancement of this technology has led to an evolution of Apache Spark – lightning fast and general purpose computation engine for large-scale processing. It can process the data up to 100 times faster than MapReduce.
5.3. Apache Kafka
Apache Kafka is another addition to this Big data Ecosystem which is a high throughput distributed messaging system frequently used with Hadoop.
IT organizations have started considering Big data initiative for managing their data in a better manner, visualizing this data, gaining insights of this data as and when required and finding new business opportunities to accelerate their business growth. Every CIO wants to transform his company, enhance their business models and identify potential revenue sources whether he being from telecom domain, banking domain, retail or healthcare domain etc. Such business transformation requires right tools and hiring the right people to ensure right insights are extracted at right time from the available data.