BigDataGoogleA common issue that most businesses face is storing and using Big Data in an appropriate manner.

Capturing and extracting the right information from data is a challenging task that needs to be pre-planned. That’s why companies try their level best to get things in order in relation to big data.


What is Big Data exactly?

In layman terms, it refers to gigantic data sets that are analyzed by companies to make better decisions. Why is Big Data an important issue in today’s world?

  • Social media platforms generate a lot of data that falls into the public domain. Millions of social network users have a lot of information that can be used by companies to understand customer requirements. Big Data collected from such a source can prove to be highly useful in the near future.
  • Institutional data has slowly become more accessible to companies. This transparency has given Big Data a huge boost. A lot of companies are beginning to understand the need for openness and this will only result in more data that can be processed for better information.
  • Nowadays a lot of people are turning towards cloud storage. This migration has helped increase the amount of data that is stored “offshore”. Cloud storage management plays a huge role in Big Data assessment.


Google and Big Data

As we all know, Google is the largest search engine online and the company is no stranger to big data. In fact, Google has reached such staggering heights because it has been analyzing Big Data for years. This has resulted in helping users with the right kind of information whenever required.

As a company, you need to take a leaf out of Google’s book and consider Big Data to be the next big thing.


How to use big data

Search engine algorithms use Big Data in order to bring up relevant results. This means you need to go back to the basics in order to gain exposure now. Fresh content is what the search engines are looking for.

You might think that your company is not massive enough to handle big data. Giants like Google, Amazon, etc. can afford to do so. However, this kind of an attitude will leave you behind. Imagine analyzing your data and coming out with information about customers that you didn’t know in the past. Big Data is a virtual gold mine just waiting to be discovered.


Discovering micro-markets

Organizations selling products and services can benefit a lot from big data. By sifting through and combining various data sets, these companies can now formulate strategies based on the information they’ve extracted. The next question is: are you prepared to make a decision based on such data?

Traditional forms of selling models involved making decisions based on historical or current performance. However, by changing this attitude, your company will be able to tap into markets that were undiscovered in the past.


Analyzing Big Data properly

Companies might be looking at Big Data with a lot of interest, but their employees might not have the skills to make sense of so much unstructured information. Mathematical reasoning and a will to experiment are what you need in your organization. This will help in the proper analysis of big data.

Since employees will be dealing with large data sets, they must be able to see the bigger picture. Making the right connections is what data literacy is all about. If you hire employees who have such skills, then your company will surely handle the Big Data wave in the right manner. Proper training of the right individuals could also make a crucial difference.


Tanya Hansen, a freelance writer for – offers full home security to help protect your family, assets from burglary and other crimes. top home security companies



BigDataBig data is defined as a collection of data sets created by users and machines alike. These data sets are not only created by users, but also by satellites, GPS, sensors, automated response and many more.

All this data is aggregated as one to form a data set. The size of these data sets can only be measured in quintillion bytes. The challenge that big data presents IT organizations with is that it becomes hard for managed data centers to organize, sort and manage these large boulders of data.

On the flip side, they also present organizations with a lot of unexplored business opportunities.


Big Data is the trend

Big Data is the trend in IT these days that’s making quite a thunder. It is undoubtedly one of those rare mushrooming technologies that encompass not only the scope but also the intricacy.

All around us there seems to be a data flood of sorts and at the nucleus of it all is Big Data. Anyone who is anyhow associated with any avenue of IT is trying to analyze this big one.

To put it in comprehensible terms Big Data is an assimilation of humongous data listings, tables and information that is highly complex in nature and it is this multiformity that makes it a tedious task for data management tools to derive at a logical conclusion.

Google deals with many layers in their varied centres that collect data, and needless to say there are a host of things that can probably head the wrong way.

There could be a sudden machine meltdown, a router collapse, a hard drive malfunction or any other unexplained breakdown and therefore it becomes imperative that the software employed should spell allegiance and dependability.

The hardware fallout in the form of lethargic machinery, loss of information and so on can be dealt with by replication.


Two mechanisms

Google mainly employs two mechanisms to withstand latency, namely cross request and within request adaptation.

The former scrutinizes behavior that occurred recently thereby manipulating future appeals, whereas the latter mechanism deals with the uninclined subsystems in purview.

It was in the year 2004 that Google released a white paper titled Map Reduce, which was deemed to be a programming pattern that helps process large data clusters. Over the years, Google has shrewdly equipped itself with advanced programs and patterns to manage future surge in big data.

For Google to be able to efficiently handle the voluminous amount of information or data, they employ many services, namely Big Table, Map Reduce and Cluster Scheduling System.

These services that Google uses helps them to resolve varied issues, however they carry the risk of bringing to the fore many cross cluster problems. Google has therefore armed itself with what they have constructed to be called a “Spanner”.

This is a storage mechanism for large volumes of data and this prevails across all of their data centres. The ‘spanner’ has been uniquely designed in a way that aids continuous duplication across all the data centres.

Dapper is a tool used by Google to enable them to supervise on a continuous basis as well as debug. Each server that is up and running aids monitoring, debugging and online profiling.


Deep Learning

In recent times, Google has been doing some work on providing a foundation for deep learning. Deep Learning is a branch of algorithms that automates deriving substantial sense from raw data.

It picks information from both marked and unmarked data and contains many Central Processing Units.

The adventurous phenomenon called the Big Data is revolutionizing the data is talked about and handled. Companies are going to great lengths and breaths to collate, interpret and store the massive volumes and Google as a forerunner is doing a rather amazing job at handling their big data.


 Heather Protz, a freelance writer for – offers full home security to help protect your family, assets from burglary and other crimes. adt security reviews