What is Big data and Cloud computing

What is Big data and Cloud computing

big data and cloud computingBig data and cloud computing are two sides of the coin. The whole world is on a way to have an online business and because of that cloud server has becomes more advanced with different technology platforms to deploy services online. The main addition to IT industry now a days is, cloud computing and big data which are by default becomes the current top issues in the IT business environment. And This trend not only becomes the reality with a far-reaching influence on business but also big data have reached its limits to deploy services to the IT infrastructure. And only the company that manages to obtain an information advantage from the data silos is one step ahead to the competition in the future.

What is Big Data?

The different technology news websites in 1990 spoken a lot about it. Just take a look at few lines, the logic works behind big data is nothing a discovery term business intelligence is available to systematically analyze data. But now as the time went all the people infected with big data get sued to learn about its advantages. Because as the time passes by every objects collect data with massive amounts of information every second. This includes smart phones, tablets, cars, electricity meters or cameras. There are also different areas that are not located in the immediate vicinity of a person, such as fully automated manufacturing lines, Internet providers, distribution warehouse, online organizations, aircraft and other means of transport. And of course it is we humans who nurture big data with our habits. Tweets on Twitter, comments on Facebook, Google search queries, browsing with Amazon and even the vital signs during a jogging session provide modern companies vast amounts of data today which can turn in valuable information.

Let’s understand Big Data : Managed and Un-Managed data

Now a days vast data sets are not a new phenomenon. From last decades, thousands of banks, government agencies, retail chains, insurance companies collect vast information on inventories, drilling data and transactions and online businesses with their client information. But the definition of Big data is that, it is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications becomes easy with Big Data. The challenges include capture, storage, search, sharing, transfer, analysis, and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to “spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.”

All this things are grouped together and includes projects for parallel processing of large data sets, data mining grids, distributed file systems and databases, distributed to the typical areas of what is now known as big data. All of the above areas and industries are struggling with the management and processing of all the large data volumes projects comes under the big data concept.

All above things are related to large database required industries but what about normal industries. Today’s challenges are that data arise from many different sources and sometimes fast, unpredictable and, lest unstructured. Big data is to help in places where a lot of different data sources may be combined. Examples are tweeting on Twitter, browsing behavior or information about clearance sales and to this understanding to develop new products and services. New regulations in the financial sector lead to higher volumes of data and require better analysis.

In addition to that most online web portals like Bing, yahoo, Google and Facebook collect an enormous amount of daily data which they also associate with users and to understand how the user moves to the side and behaves. Big data becomes a general problem. According to Gartner, enterprise data could grow in the next five years by up to 650%. This large unstructured data or big data that have already shown that they are difficult to manage. In addition, The premier global market intelligence firm estimates that the average company has to manage 50 times more information by 2020, while the number of IT staff will increase by only 1.5%. A challenge companies must respond to in an efficient manner if they try to remain competitive.

But why companies choose big data

Big data helps large organizations to manage the databases in more advanced and parallel way within the defined time.

Big data is nothing but cloud technology

Cloud computing is a new technology where a defined cloud infrastructures help to reduce costs for the IT infrastructure. This allows company to be able to focus more effectively on their core business and gain greater flexibility and agility for the implementation of new solutions. Cloud has many measures so, one can easily get a cloud related to its infrastructure to earn unlimited advantages in managing data. Thus a foundation is laid, to adapt to the ever-changing amounts of data and to provide the necessary scalability. Cloud computing providers are capable based on investments in their infrastructure, to develop a big data usable and friendly environment and maintain these. Whereas a single company can’t provide the adequate resources for scalability and also does not have the necessary expertise.

Cloud server resources increase directly proportional to amount of data.

The connected server network of Cloud is used to manage the complete resources. Cloud computing infrastructures are designed to grow or reduce with the demands and needs. Companies can meet the high requirements such as high processing power, amount of memory, high I / O, high-performance databases, etc. that are expected from big data, easily face through the use of cloud computing infrastructure without investing heavily in their own resources.

As, I have stated above Cloud has many measures : A Cloud can be Private, Public and Hybrid. Cloud concepts such as infrastructure-as-a-service (IaaS) combine both worlds and take in a unique position. For those who understand the SAN / NAS approach, resources can also be use to design massively parallel systems. For companies who find it difficult to deal with the above technologies or understand this, IaaS providers offer appropriate solutions to avoid the complexity of storage technologies and to focus on the challenges facing the company.

An acceptable solution comes from cloud computing pioneer eUkhost Web Services. The Intelligent Cloud hosting platform called eNlight is been designed to deploy all the required resources at any point of time to the websites. Uptime, Flexibility and resources are the main key features which makes eNlight one big data solution for all.