Know More About Apache Hadoop Software Training and Big Data Technology

As a regular Internet visitor, you might have come across many websites. Have you ever thought of that no two websites are alike in structure, layout, color theme, graphics, texts and presentation of contents? This is because of the handiwork of website developers using assorted software solutions, and web designing and development technologies. As of today, the World Wide Web network is bubbling with more than 634 million websites and growing. Newer additions in technologies and software applications get invented by experts and offered for use for web developers constantly. Apache Hadoop Software is one such latest sophisticated solution; another is Big Data technology to handle huge data sets inside websites.

Here is an overview of Apache Hardware and where you can get suitable training for making use of this software solution. It is too technical to explain the intricacies of Apache Hardware here. Suffice it to understand what is what about this software and where it is useful. In the Internet World, there are many software solutions developed and distributed for free as Open Source and for a price. Apache Hadoop is Open Source software.

Apache Hadoop is mainly used to support data-intensive web applications. Simply it can divide software applications relating to huge data clusters, into small fragments for easy understanding, recording and repeated usage. For programming Apache Hadoop the ideal computer programming language is Java; many other languages can also be used provided they are streamlined to implement the parts of Apache Hadoop software. With more and more end-users for this software solutions coming, they become contributors for refining with latest additions of Apache Hadoop platform.

Apache Hadoop is gaining rapid popularity, as this is used by many world-renowned websites like Google, Yahoo, Facebook, Amazon, Apple, IBM etc. These big names denote the importance of this sophisticated software for commercial use, in today's intensive competition of Internet Marketing. No wonder many web developers and individual software developers are keen in getting online training in this technically-advanced software solution.

Here it is important to learn how Big Data technology is clubbed with Apache Hadoop software training. There are several commonly used software applications to create, handle, manage, control, and maintain data-bases all over the corporate world in computers. Your head will be reeling how much of data is created and transmitted every day, with these common data-creation software. Yet when compared to Big Data technology, which operates in petabytes for creation of complex data sets, these are dwarfed in size.

A few examples where Big Data technology is put into use will help understand the magnanimity of it. Internet Search Indexing, scientific researches such as genomics, atmospheric science, biological, biochemical, astronomy, medical records, military surveillance, and photography archives, social networks and big ecommerce websites etc. are some of the end users for Big Data technology.

An Insight Into Big Data Analytics Using Hadoop

he large heap of data generated everyday is giving rise to the Big Data and a proper analysis of this data is getting the necessity for every organization. Hadoop, serves as a savior for Big Data Analytics and assists the organizations to manage the data effectively.

Big Data Analytics

The process of gathering, regulating and analyzing the huge amount of data is called the Big Data Analytics. Under this process, different patterns and other helpful information is derived that helps the enterprises in identifying the factors that boost up the profits.

What is it required?

For analyzing the large heap of data, this process turns very helpful, as it makes use of the specialized software tools. The application also helps in giving the predictive analysis, data optimization, and text mining details. Hence, it needs some high-performance analytics.

The processes consist of functions that are highly integrated and provides the analytics that promise high-performance. When an enterprise uses the tools and the software, it gets an idea about making the apt decisions for the businesses. The relevant data is analyzed and studied to know the market trends.

What Challenges Does it Face?

Numerous organizations get through various challenges; the reason behind is the large number of data saved in various formats, namely structured and unstructured forms. Also the sources differ, as the data is gathered from different sections of the organization.

Therefore, breaking down the data that is stored in different places or at different systems, is one of the challenging tasks. Another challenge is to sort the unstructured data in the way that it becomes as easily available as the accessibility of structured data.

How is it used in Recent Days?

The breaking down of data into small chunks helps the business to a high extent and helps in the transformation and achieving growth. The analysis also helps the researchers to analyze the human behavior and the trend of responses toward particular activity, decoding innumerable human DNA combinations, predict the terrorists plan for any attack by studying the previous trends, and studying the different genes that are responsible for specific diseases.

Top Two Concerns of Big Data Hadoop Implementation

In general, data can be classified into three categories. Any data which can be stored in databases can be called as Structured data. For example, transaction records of online purchase can be stored in databases. Hence, it can be called as Structured data. Some data can be partially stored in databases which can be called as Semi-Structured data. For example, the data on the XML records can be partially stored in databases and it can be called as Semi Structured Data.

The other forms of data which will not fit into these two categories are called as Unstructured Data. To name a few, data from social media sites, web logs cannot be stored analysed and processed in databases, therefore it is categorised as Unstructured Data. The other term used for Unstructured Data is Big Data.

According to NASSCOM, Structured Data accounts for 10% of the total data that exists today in the Internet. It accounts for 10% of semi-structured data and the remaining 80% of data comes under Unstructured Data. In general, organizations use analysis of Structured and Semi Structured Data using traditional data analytics tools. There was no sophisticated tools available to analyse the Unstructured Data till the Map Reduce framework which was developed by Google. Later, Apache developed a framework called "Hadoop" which analyses all these Data and reveals information which will be of great help for business to take better decisions.

Hadoop has already proved its importance in several areas. For example, according to NASSCOM, many organizations have started using Big Data analytics. National Oceanic and Atmosphere Administration (NOAA), National Aeronautics and Space Administration (NASA) and several pharmaceutical and energy companies have started using big data analytics extensively to predict their customer behaviour.

According to a recent research from Nemertes group, organizations perceive value in Big Data analytics and planning to have a better leverage in reaping the benefits of Big Data Analytics. The New York Times is using Big Data tools for text analysis, and Walt Disney Company use them to correlate and understand customer behaviour in all of its stores and theme parks. Indian IT companies such as TCS, Wipro, Infosys and other key players have also started to reap the immense potential which Big Data continues to offer.

This clearly shows that Big Data is an emerging area and many companies have started to explore new opportunities. Meanwhile, usage Big Data is proving to be worthwhile but at the same time it may also be noted that privacy and data protection concerns have also risen.

The concern about Big Data analytics is very much valid from the viewpoint of privacy. Let me give a very simple example. Nowadays I am very much sure that most of us use Social media such as Face book, Twitter and many other social forums and most of us watch videos on YouTube. Imagine these websites using Big Data Analytical tools to identify your activity on the Internet, to analyse data, your search behaviour and the content you have watched in social media. Through Big Data your activity on the Social Media Forum can be clearly identified. This is a blatant violation of your privacy. Further, just imagine the organization is sharing the data from the analysis to a few marketing agencies, this in turn creates more privacy issues.