According to statistics, 90% of the total data in the world has been created only in the last two years. But why is this data generated? Obviously, to serve a purpose. However, the purpose is to come later and science first. Therefore, what follows is a definition of the field focused on the use and analysis of all the data collected around the world.
What is Cloud Based Big Data Storage?
Very few laymen can every grasp the concept of big data or what it implies. The simplest definition of cloud based big data storage will tell you that big data refers to the analysis and storage of large amounts of data (hence the word “big”) to reveal trends in a market. This data is essential for any analysis and research and according to one of the first definitions of the term by Doug Laney revolves around three Vs and some people adopting an additional one later:
Velocity
Given that data flows in swiftly, mechanisms must be used to deal with it swiftly. Efforts and tools to deal with this data as soon as possible are essential.
Variety
This refers to the fact that data is available in a number of different formats. There will be data in structured and unstructured form, with additional classifications in numeric, alphanumeric, alphabetical, music, videos and so on.
Variability
Variability of the data refers to the volatility of data flow. Data can flow in very inconsistently while following present trends or fashions.
Why is Big Data Important?
Big data stands to be one of the sole reasons for the emergence of new fields. Analyzing so much data (which according to statistics is only 12% of all data produced) enables achieve not only new fields but is essential to improve current processes. For instance, it can help find reasons of failure for issues in a process and counter it to give better results. As a result, it helps in achieving cost reductions and process optimizations in addition to time reductions and smarter decision making.
Where Does Cloud Computing Come In?
Many specialists in the field would tell you that Cloud Computing and Big Data go hand-in-hand. But several people fail to see the connection that in plain sight. The single most important link stems from the fact that the number of data collected because not just unmanageable on tangible storage, but also very expensive. As a result, using cloud storage seems as the only practical solution to storing and effectively managing this data.
Therefore, using Cloud also opens the route to implement Cloud Business Solutions whereby the data on the cloud is directly utilized for these solutions. This allows for several benefits to the user such as:
Productivity Boosts
Given that the data is not only readily available and accessible all around the world, the productivity of businesses increases drastically. Moreover, the fact that cloud based big data storage investments and growth are growing over the world, organizations find it beneficial to gain insights at a glance with the Cloud Business Solutions such as Google Analytics and make decisions faster, thereby increasing productivity.
Scalable Nature Makes it Easier for Startups to Survive
Given that barely 50% of startups survive by the time they reach in their 4th year, the scalable nature of big data now makes these startups much more efficient. As a result, they can make affordable changes to their products in line with the available data and grow faster and with surety.
Evolution of Big Data Enterprise Model
Introduction of new tools for data collection and storage is expanding the utility of big data analysis to new areas and increasing its prediction capacities.
The practice of modeling and analyzing huge data sets in order to determine optimal parameters for a system is called big data analysis and it’s been used with success in science, as well as business, for a number of years. Such an approach is complex and comes with plenty of practical challenges, but its value has been decisively proven, and in fact it is often the only method that can be used for certain tasks. Its methodology is constantly evolving and great new tools are being added to the mix, which in turn drives the movement to use this analytic framework for expanded scope of purposes.
Without a doubt, big data analysis remains better suited for large systems and always will, but it is no longer limited to corporate or government-run projects of enormous size. It is increasingly finding use in a number o different fields and it won’t be a huge surprise if the systems of this kind would be used for tasks as simple as to find people online and check their credentials. There are a few factors driving the change, including:
Incredible value of the cloud
Early cloud based big data storage models were forced to rely on information stored in a single physical location, putting constraints on their effectiveness. In recent years, there is a tendency to organize analytic tools on SaaS principle, with remote access to pieces of datasets scattered all around the world. High-quality analytic companies specialized for service of this kind are emerging, and their capacities allow retailers and marketing companies to access data through virtual machines. That’s far more cost-effective than to invest in entire infrastructure needed to perform similar operations in-house, which is why we are seeing smaller companies get more involved.
Liberating impact of no-SQL databases
The market is slowly but surely moving beyond the traditional SQL databases, with a growing number of open-source alternatives springing to fill the gap. These solutions are typically specialized for a single area of competence, which makes them well suited to serve business organizations from a broad range of industries. NoSql, as these alternative databases are sometimes collectively called among professionals, represent a step forward in comparison to relational databases and allow for connections between customers and sales people to be analyzed in many different ways, while providing greater freedom when shaping data models.
Public awareness breeds opportunities
Most essentially, business owners are becoming aware that big data can be an effective weapon in their daily struggle to remain profitable. It doesn’t take nearly as much persuasion to get a new organization to introduce this method into its business plan, as there is a wealth of evidence demonstrating its tremendous usefulness. Over the previous decade, dominant perception of big data analysis has been changed from a poorly understood statistical exercise to an essential element of marketing planning, and this process is likely to continue in the near future.
Empower Consumers to Leverage Big Data
Unless you’ve buried your head in the sand, you know that businesses are using cloud based big data storage to make better-informed decisions and develop strategies to capture market-share. A topic that isn’t given enough attention these days is how consumers can leverage advances in Big Data to save money and make smart buying decisions.
Automotive Buying with Confidence Thanks to Big Data
Ever wonder if you got a great deal, or got ripped off at your local dealership? Even when buying a vehicle privately, access to broader market data is key to making an informed automotive buying decision. Big Data is empowering consumers with the information they need before they even visit a dealership.
The first example of Big Data being accessible to automotive consumers was Kelley Blue Book. Their ability to provide national auto pricing trends and specific pricing based on local trends changed the way vehicles were priced at the dealership. Private sellers gained the ability to get what their car is worth on the open market with a reasonable starting price.
Buyers definitely won by gaining insight from a national database of information. This business model has transcended the consumer space in recent years with the emergence of coupon sites, which provides a collection of consumer coupons in a single place for both automotive accessories and other consumer categories.
Big Data impacts consumers in every phase of car ownership; from pre-purchase to after-market accessorizing. If knowledge is power, Big Data is the tool that’s getting consumers a whole lot of extra power in the 21st century.
Big Data Saves Consumers Big Money on Utilities
Another industry that has been significantly impacted by cloud based big data storage in the utility industry. There’s a lot of talk about the benefits of modern “Smart Grids”. Companies like Opower have helped consumers save more than $320 million on their home electricity costs.
By combining massive power grids that service millions of consumers, with industry-grade monitoring that collects data on 24/7 usage, the “Smart Grid” can revolutionize how consumers and industry producers interact. Specific incentives can be offered to high-energy users. As homes and businesses become more efficient, energy companies can better manage how they distribute power throughout the system, minimizing waste.
Consumers and the environment win when power companies can more easily assess the needs and activity of the grid. In some states, consumers are even allowed to choose different power companies, depending on their individual needs. The more information that’s available to the consumer, thanks to Big Data, the more efficient the market becomes.
The two areas of our daily lives that involve the largest carbon footprints are our homes and our transportation. Big Data is helping us to save money and live greener lifestyles. Without the information that the internet provides to consumers, it would be impossible to save consumers money and energy in real-time. But, modern technology has made instantaneous communication an expectation.
Will Enterprise Data Save Canada’s Economy from Recession? That Depends on Privacy Laws.
With the knowledge of what a recession can mean, the very thought of another one can create anxiety and stress for individuals and businesses. The last few recessions around the world have had devastating effects, taking many years to recover from and reignite consumer confidence. When a recession is looming, it’s clear that something has to be done.
When considering the different actions that countries have taken to recover from economic distress, it’s usually tangible strategies that come to mind. Recovery commonly begins with strides towards developing new products, gathering resources like oil, or building more homes or commercial structures. Most people do not typically associate ‘enterprise data’ as a solution for getting out of a recession. However, in the case of Canada, which is fighting back to save their economy from slipping into a recession, the new ‘data economy’ offers a powerful source of revenue opportunity thanks to the country’s revolutionary privacy laws.
According to Trulioo, Canada is uniquely positioned to take advantage of the growth in the data economy and decrease its dependence on traditional sectors such as natural resources and construction.
“Canada has a solid track record for innovation as well as a highly educated and highly skilled workforce,” said Stephen Ufford, CEO and Founder of Trulioo. “We have the legal framework, expertise, and know-how needed to be a global leader in the data-driven economy.”
The Impact and Transparency within Canada’s Privacy Laws
Canada’s burgeoning data economy leads with transparency and strict privacy laws. There is an overwhelming fear among people there – and everywhere, for that matter — about having personal data being picked apart and sold off to the highest bidder. Recent safe harbor rulings in the European Union have the U.S. scrambling to figure out a solution for their data storage needs, which opens the way for Canada, which may be able to leverage its privacy laws for an economic opportunity.
In fact, Canada has a series of robust privacy laws for personal information hubs just for this reason. It is designed to bring peace of mind to consumers in a variety of ways that highlight Canada’s position for global data centers.
“In my opinion, the concept of User as Owner – the idea that one’s data is one’s own – should be pushed to the forefront due to its simplicity and overarching philosophy,” said Ufford. “User as Owner combines personal rights with technology and turns a blind eye to geography, age, income level and citizenship in order to place everyone on a level playing field. This approach is in line with the fundamental nature of the Internet.”
For example, organizations cannot use data for any other means without the consent of the individual, which adds an extra layer of privacy. Another big factor is that individuals can view and amend their personal data whenever they feel the need to do so. There are no hoops to jump through or long wait times required. Instead, the information is readily available for viewing and changing, as necessary. A few other countries could certainly take a page out of this information protection policy, in the best interests of their citizens’ privacy.
Some amendments were made to the Act. The most notable amendment calls for a mandatory breach notification. This section states that if a company experiences a breach in their security, then the individuals affected and the Privacy Commissioner of Canada must be notified if the breach potentially creates a risk of harm for individuals or their information. The amendment goes on to state that organizations must keep strict records on any security breaches so that they can be readily available and accessed upon request.
“How personally identifiable information (PII) is currently handled by businesses and government is a very sensitive issue because of the increasing number of data breaches,” Ufford stated. “Canadian companies are in the best position to enable the enterprise to leverage their global data assets with innovative technologies in a safe, highly regulated environment ”
What Big Data and the Privacy Laws Mean for Halting Canada’s Recession
Overall, Canada has some of the most transparent and detailed privacy legislation out there when it comes to organizations and personal information. The result may be to increase Canada’s monetary value, restore consumer confidence, and offer business intelligence through data access and analytics. Big data has been pegged to solve many of today’s business problems in terms of providing the insights necessary to more effectively meet a diverse audience with the information, products, and services that will help them. Further, to manage this data and better leverage it, there has been a need for talent to fill positions, generating great opportunity for new jobs.
Over time, there may be more organizations keeping their data hubs in Canada, knowing that these privacy laws are serving as reliable protection. If an influx of organizations shift to Canadian soil, this could offer an additional benefit on top of what cloud based big data storage can do for local Canadian companies in terms of better addressing consumer and business needs. Now, it’s just a matter of seeing how Canada handles this opportunity to proactively change the impending recession and turn it into a profit generator.
Keep Your Data Saved in Your iCloud
One of the many revolutionary services provided by the technology of today, iCloud is Apple’s take on cloud storage and cloud services. Much like its Android counterparts, iCloud allows iPhone users to keep data safe, secure and easily accessible all in the palm of their hands.
Without further ado, here are some ways to combat iCloud storage full or to save iPhone deleted contacts:
Delete Unwanted Data
The first and foremost way to do that is by deleting unnecessary items. In the 5GB of storage that you get on your iCloud, if emails are also included, get rid of them. Randomly subscribing to websites and newsletters causes emails to arrive at a non-stop basis and at one point they start taking a surprisingly large amount of space. Mass delete those emails etc. to give your iCloud some breathing room.
Furthermore, delete any unnecessary documents, files, messages with large attachments etc. Oftentimes, data is saved and forgotten about. Sometimes it arrives and gets saved and we don’t realize it.These both are contributors to the menace that is full storage.
2. Turn off Apps that Don’t Need to be Backed-up
Backup, as you may realize, also takes space. So, apps that you do not deem overly important or crucial should have their backup feature disabled or just turned off altogether. This will prevent the device from making use of those apps and will free up space for more important work.
3. Delete Backups and disable iCloud Backup for your Device
Another thing to do would be deleting existing backups for your device. Although this may seem somewhat risky, it might prove necessary to create more space if you have gigantic files. You may need to take extra care with your original data, however, and take care that it does not get lost.
4. Make Use of other Cloud Applications
There are other cloud applications as well, apart from iCloud. One such application is Google Drive, which provides you 15 GB worth of space for free on which to store your data. You may store pictures, videos, documents etc. all on it in case you your iCloud is out of space.
5. Transfer Data from iPhone to PC
One more thing – and also probably the most useful one – you can do is manually transfer the data to your PC. You can do it by connecting the data cable to your PC and transferring files in the designated folder. Safe, secure and easy.
Conclusively, these are some ways you can combat the pains of lack of space. There are other ways, of course, such as purchasing more cloud storage, however, sometimes one needs a solution that does not require money. These are some of that. Other than this, you can restrict the amount of pictures, videos etc. you take to ensure there is always some space available. We hope this article was helpful!
The Implications and Final Word
You can gain a deeper insight by reading this article into the benefits, methodologies and most importantly the implications of Big Data around the world. in fact, you will learn how cloud based big data storage solutions have allowed for world-class firms to provide outsourcing services in the realm and create value for businesses.
As a result, as Big Data continues to grow, the services in the sector will keep improving and the results will improve. The results will also be felt in every industry ever and adoption rate will sky rocket.
