Help Center
Popular questions about Web-hosting
Hosting is a specialized computer (server) that provides users with the ability to store
their sites. Its equipment ensures the operation of programs that make it possible to view
pages of Internet resources.
When a user enters a website address, a request is sent to the hosting server. After
processing, the server sends information to your browser, which is displayed as the
requested web page.
The uninterrupted round-the-clock operation of the servers is ensured by the system
administrators who monitor them. They fix any issues that come up. Thanks to this, hosting
is available 24 hours a day.
Hosting services are an extremely popular product. There is very strong competition in this
market. But it must be stated that not every hosting company is able to provide high-quality
hosting services.
Not one type of serious business is now possible without the use of the Internet. Therefore,
many commercial projects begin with the creation of their own website. But it is not enough
to collect and prepare information. It is necessary to provide a place where it will be
stored, that is, to choose a hosting. You also need to assign a domain name to the site, an
online address on the Internet by which it will be searched.
There are many offers from providers providing such services. And it is extremely difficult
for an inexperienced person to choose the right hosting.
You can get a place to host a site, both for money and for free. Of course, it looks
tempting to publish your site on the Internet and not pay for hosting. But there are many
nuances to consider here.
You can install an amateur site just for the purpose of self-expression, of course, you can
also use free hosting. But if this is a serious project designed to generate income for the
owner, paid hosting is definitely needed.
If your online store is focused on a specific region or country, it is important that the
server is located near the user/visitor. For example: if you have an online store that sells
vape liquid in Australia, it is important that the site is hosted on a server. in Australia,
this will affect the SEO, ranking and loading speed of your site.
On the other hand, if your target audience is as wide as that of Amazon, that is, the whole
world, it does not matter to you that your site is hosted on servers around the world. In
such cases, CDNs (content delivery networks) will be involved and they will store frequently
used data on servers closest to the client. CDNs will do this automatically; you don't have
to worry about it.
The Content Delivery Network service works by providing your visitors with alternative
server points to access your website resources. These CDN points are usually scattered
around the world. They help bring access to your site closer. The CDN service will provide
faster response and load times for your web content. There are many CDN services available
on the Internet - some of them offer free services, while others are paid. Regardless of the
type of website builder you've used while developing, your site can be made better by using
a CDN.
If your site's users are from all over the world, your page rank won't depend on where your
server is located. It is more important that you use a quality web hosting server and a good
CDN service. This will make your site load faster no matter where your visitors are.
If you have plans to choose a new web host or change an existing host, it makes sense to
consider the location of the servers. If your website is targeted to a specific country or
location, such as the United Kingdom, then your web host, its servers and equipment must be
located there. Otherwise, your SEO success may be affected to some extent. If you're moving
to a new host that's in the same geolocation, it shouldn't affect your site, but you also
need to consider other factors.
In order for your website to display results quickly to visitors, you need to find a web
host that doesn't overload their servers. The more websites on the server, the more
resources are used. This can slow down the loading of your website page. It's also important
to make sure you're reducing your page load time yourself. This includes reducing HTTP
requests, reducing image size, and removing useless plugins.
Whether your site is hosted on a dedicated or shared host, you should always backup your
site, even if the web hosting company provides an automatic backup feature.
Each new automatic backup overwrites the previous automatic backup, so it is highly
recommended to keep personal backups. Remote/personal backups come in handy for disaster
recovery.
All hosting providers offer backups, usually for an additional fee. This is a good option to
not have to worry about backups that will be regularly performed without the participation
of the site owner. However, in this case, problems may arise:
If the provider is hacked, both the main site and its backup will be damaged.
Hosters usually keep copies for no longer than two weeks. If the site was attacked a month
ago, and the databases were deleted later, a server backup will not help.
Backup provider can cost money.
However, there are hosting providers that provide a double backup service. For example, the
hoster has another backup server located in another data center. In this case, no matter
what happens on the provider's server, another copy of the site's data will be safe. In
principle, it is also not particularly difficult to make a backup manually and select a
server for backup.
The main rules of backup:
- regularity is the main rule of backup: the more often backups are created, the more
up-to-date data can be restored;
- isolation - do not store copies on the same server as the main data. Consider having
multiple copies in different media.
A web hosting reseller is a client of a hosting company who rents a service from the company,
such as a dedicated server, and then divides this service into several parts, with the aim
of reselling them to their own customers. Thus, anyone can become a reseller, acting as a
hosting provider and creating their own tariff plans with their own prices for them. At the
same time, the reseller independently provides technical support for its customers and
solves their problems that have arisen.
Positives for reseller web hosting include:
Renting a web hosting reseller service does not require a large investment.
A reseller can create their own website and sell services under their own brand.
Ability to create your own tariff plans and set prices for them.
A web hosting reseller can host their own websites on their own hosting.
Depending on the number of customers, the income from selling your own services can
significantly exceed the cost of the reseller's costs.
Negative points for web hosting resellers include:
All technical customer support falls on the shoulders of the web hosting reseller, and
therefore it is required to have certain knowledge in this area or resort to the help of
specialists.
As the number of clients increases, the requirements for the server also increase, which in
turn entails additional costs.
Based on this, for a comfortable business, the reseller needs to offer the best prices for
customers and the reseller, promote their website and business, and be frank with their
customers.
Managed website hosting is essentially an IT service delivery model where a service provider
sublets dedicated servers and associated hardware to a single customer and helps manage
those systems on the customer's behalf. With managed website hosting, the hosting service
sets up the server and can easily perform day-to-day operations 24/7. They mainly deal with
software updates, security, technical troubleshooting, hardware maintenance, server
management, and more.
While both managed web hosting and dedicated web hosting mostly involve a dedicated server,
with dedicated web hosting, you manage the server yourself. It offers a server for exclusive
use. Managed web hosting is very similar to shared or shared hosting where the web hosting
company manages the server.
Benefits of using managed website hosting:
Managed Web Hosting is a flexible option as it helps us create solutions that are tailored
to our needs and requirements. we are even flexible to change our requirements according to
changing requirements.
The biggest benefit of choosing a managed website hosting solution is that we always have
support available. Whenever we need help, we can easily count on qualified support
professionals to answer and help resolve our issues.
It supports anytime, every time.
Real safety and high qualification.
Server monitoring.
Helps keep up with the speed of business.
Managed website hosting is an effective choice for:
For websites that have large internal needs.
For online stores and stores with high traffic.
Also for online businesses that require advanced security features.
For small businesses such as startups with limited IT staff.
AVAILABILITY (UPTIME)
Unfortunately, no company can guarantee the smooth operation of your website 24 hours a day,
365 days a year. But with a good provider, cases when the site is unavailable are extremely
rare (about 1%). Remember that the more revenue your site generates and the more visitors it
has, the more important accessibility is to you.
LEVEL OF SERVICE AND CUSTOMER SUPPORT
While you won't have to deal with support very often (for example, when the site is down,
when it's been hacked, or when there are problems with a software update), in these
situations, a quick and efficient support response is of the utmost importance. Your
provider must be available 24/7. You should always be able to contact support for any
questions (security, maintenance, etc.). The more ways to contact a company, the better. Do
not take the word of mouthful statements about first-class service, which can be seen on the
websites of hosting providers. Before buying hosting, be sure to check how the company works
with customers. After all, bright promises often do not correspond to reality.
SCALABILITY
If you are planning to develop your project from a small business card site to a large
platform with thousands of visitors a day, then you need to pay attention to such a
characteristic as scalability. A good hosting provider should be able to easily adapt to the
growth in traffic, providing additional technical resources for a growing project.
PRICE
When choosing a provider, take into account not only the price of the package of services
that you purchase. These costs are just the tip of the iceberg. Be sure to calculate the
full price. What it is? The full price includes the price of the package of services
indicated on the company's website (direct price) and the amount of profit that you can lose
due to technical problems and inefficient support service (indirect price).
REPUTATION, TRUST AND REVIEWS OF CUSTOMERS
Here are some easy ways to find out more about the company you're considering using:
research the company's profile and find out how long it's been in the market;
read customer reviews to get an idea of the level of user service, look at the planned
maintenance schedule and find out the average downtime (i.e. when your site will be
unavailable). With the help of Google, you can also find out the average response time to a
customer request.
Popular questions about Cloud services
Cloud services (public cloud services) are programs and platforms that "live" and work on the
servers of cloud providers. The main feature of cloud applications is that by creating an
account on such a platform, a person will be able to access their own information from any
gadget anywhere in the world. To do this, you need to create a username and password. Using
cloud services is not only convenient, but also safe. Even if something happens to your
phone or computer, your data will not disappear.
The situation is similar with business. The principle of operation of cloud platforms is
quite simple. Cloud storage is provided to the user in the required amount, paid for upon
use and eliminated the need to buy and manage your own IT infrastructure for storing data.
This provides flexibility, fast scalability and reliability. For example, storing 1C in
cloud storage is much safer than on a server located under the desk in the office. The
server may crash, get a virus, or disappear altogether. And during the period of a mass sale
of goods, the owner of an online store can simply order more resources from a cloud provider
and not worry that the site will "fall down".
Cloud data storages allow you to host and store a large amount of information, unlike
traditional servers and PCs. What cloud servers are we will tell further.
Flexibility. With the active growth of the company, as a result, the network of its branches
and representative offices grows, cloud services will be able to quickly and without
additional costs satisfy its needs, because such services are hosted on remote servers. The
ability of SaaS solutions to quickly respond to business needs has become one of the main
drivers for moving to the cloud.
Emergency recovery. When a company uses the cloud, they don't have to worry about disaster
recovery issues. Suppliers of such solutions take care of all the maintenance of system
performance, besides, problems are fixed very quickly. According to recent studies,
enterprises that used the cloud solved their system recovery problems four times faster than
other companies.
Automatic software update. According to research, large companies spent up to 18 business
days per month supporting non-cloud systems and managing their security. Cloud service
providers are independently responsible for maintaining and updating servers, including
guaranteeing the safety of data.
No capital costs. Cloud solutions do not require capital investments for the purchase of
servers and their support, and since they are implemented very quickly, the customer will
need minimal effort to “launch” the project.
Expanding the scale of interaction. Cloud technologies allow all employees of the company,
regardless of their current location, to synchronize work with documents and applications,
working in real time.
Work from anywhere in the world. To work with the system, as a rule, you need any device and
access to the Internet.
Document management. According to one foreign publication, 73% of knowledge workers interact
with people in other time zones and regions at least once a month. If the company does not
use the cloud, employees are forced to exchange files via email, resulting in multiple
versions of the same document. Cloud solutions allow you to store all files in one place,
and employees can simultaneously work in one central copy, as well as communicate with each
other at the time of making changes. Such cooperation increases the overall productivity of
the work.
Information security. Tens of thousands of laptops are known to be lost every year. Along
with laptops, valuable and confidential information is lost. If the information is stored in
the cloud, then if the device is lost, there is no data loss.
Competitiveness. Clouds allow companies to act faster in emergency situations than their
competitors. Businesses that do not use cloud services are forced to resort to backups and
complex data recovery procedures in the event of a system failure, which is a slow and
painstaking job.
Google One (Drive) is a cloud-based file storage, editing and synchronization application
from Google.
Opportunities:
You can store files of any format: photo, video, audio. Each Google Account has 15 GB of
storage available for free.
There is no binding to a specific operating system.
The files on the drive can be opened from a smartphone, tablet, or computer.
In order for other users to view, edit, and download user files, all you need to do is send
them an invitation.
Microsoft Office 365 is a cloud-based service that combines convenient, modern work tools
distributed on a subscription basis. The Microsoft Office 365 suite includes:
Business class email on an Exchange server.
Sharepoint portal and public website with a simple page builder.
Lync communicator, with which you can exchange text phrases, conduct video and audio
conferences, and share your desktop.
Access to the latest version of Microsoft Office applications.
Access to Microsoft Office applications 2010, 2013 and 2016 in the corporate plan.
OneDrive space (1 terabyte per user).
Bitrix24 is a business process automation service that helps businesses work in a structured
and productive manner. Includes CRM, tasks and projects, contact center, websites and shops,
office.
Opportunities:
You can work with the service in the cloud or install the boxed version on the user's server
in order to individually configure the business logic, interface, integrate with 1C:
ZUP.
Bitrix24 manages not only sales. Each employee can keep track of working time, mark breaks,
send reports on the results of the working day. Users can assign tasks to themselves or each
other and set deadlines. A task can have several co-executors, observers, assistants. This
is convenient if the work needs to be done in a group or if people from different
departments need to be involved in the task.
Serpstat is a multifunctional SEO platform that allows you to monitor positions, analyze
backlinks, do an SEO site audit, analyze semantics and competitor analytics.
Opportunities:
Compares data from sites with similar topics.
Collects data about competitors in organic search results and in contextual advertising.
Shows ad texts of competitors.
Analyzes the average advertising budget of competitors
Checks the relevance of the URL to the semantics of the site and more.
Deals is an online service for signing documents with an electronic signature. The service
helps to make decisions quickly, reduces the costs of document management processes between
a manager, an accountant, a financier, an IT specialist and a lawyer.
Advantages:
Increases the number of documents agreed on time.
Reduces the duration of preparation and approval of documents.
Removes the cost of delivery and exchange of paper documents between contractors.
Provides 24/7 access to documents.
Cloud services are suitable for any business - from individual entrepreneurs without
employees and start-ups to government agencies and international corporations.
During the pandemic, many companies had to switch to a remote work format and use clouds for
this.
Huge and complex production worked on classic offline programs. When the pandemic began,
computers remained in offices. Employees did not have access to them, and work was paralyzed
for several days. The rapid introduction of cloud-based programs with remote access helped
to save the situation.
The opposite example is companies that have been using the "clouds" for several years.
During the lockdown, their employees switched to remote work in one day, and the workflow
was not affected.
Due to the "clouds" companies can automate work and get more profit. Here are examples of
where cloud services can help.
Setting up business processes. Through the CRM system, the manager receives an application,
requests information from the warehouse, orders an invoice from the accounting department
and sends it to the client.
Internal and external reporting. The manager keeps track of time and performance indicators,
lawyers store and coordinate documents, accountants issue invoices and send tax returns.
Accounting for goods. Storekeepers control products in the warehouse and send data to
managers.
Team communication. Employees communicate via the project management platform, corporate
mail, instant messengers and video communication, work together on documents, and make
appointments via the corporate calendar.
"Clouds" give companies the opportunity to concentrate on business processes, and to
transfer the solution of technical tasks for setting up and supporting office programs to
external specialists and pay by subscription.
Cloud computing allows businesses to optimally run their software applications without
building and maintaining an on-premises IT infrastructure. But software applications must be
provided with adequate computing resources to provide an optimal user experience in the
cloud. As a widely used technique in cloud computing, autoscaling or autoscaling provides
the compute resources an application needs to meet current needs.
Autoscaling automatically increases or decreases computing resources according to the
current needs of the software application. Therefore, the cloud computing capacity can be
increased or decreased according to the current needs of the application. The option helps
businesses to improve the quality of customer service without increasing the consumption of
computing resources. In addition, autoscaling helps businesses reap the following
benefits:
In addition to lowering the cost of computing resources, autoscaling also helps enterprises
improve resiliency. The cloud computing method has the ability to identify and terminate
unhealthy instances and actively replace them with new ones. Enterprises can even take
advantage of this opportunity to improve fault tolerance by using multiple availability
zones.
At the same time, autoscaling also helps companies improve the performance and availability
of their cloud applications despite the sudden increase in user load. Each time the user
load increases, the cloud computing method will make additional computing resources
available to the application. Also, it will reduce the capacity once the user load
normalizes. Optimizing the performance of the cloud is absolutely essential, and companies
must allocate the right resources to optimize cost and performance in the cloud. Companies
should take the help of professional cloud computing companies to optimize their resources
and cost.
It is difficult to find shortcomings in cloud services compared to "boxed" ones. They have
many advantages:
assembly and customization for the client's tasks;
continuous improvements and expansion of functions;
remote access;
economy.
Assembly and customization for the client's tasks. There are no universal cloud solutions,
each business can try and compare different services and choose the ones that suit it best.
You can connect the necessary services and disconnect unnecessary ones in a few clicks. When
a company chooses its set of tools, they can be linked into a single system and customized
to fit their needs.
Constant improvements. One of the main advantages of clouds is that professional and rather
expensive teams of analysts, programmers, testers and managers work every day to improve the
functions and usability of their services. Platform developers think ahead and collect
feedback. Even if something is missing in the feature set right now, there is a high
probability that it will appear soon.
Remote access. You can work with cloud services from any place where there is a stable
high-speed Internet. Several employees can simultaneously manage a task and see changes
online.
“Boxed” programs are available only from a specific device - if an employee cannot come to
the office, he will not be able to complete the work.
Profitability. It may seem that using cloud services is expensive - you need to constantly
pay for a subscription when you buy a boxed solution and use it. But if we compare the cost
of buying and maintaining “boxed” programs with the total amount of expenses for cloud
subscriptions, the difference is often not in favor of offline solutions.
And most importantly, what does the business save on. The provider buys expensive equipment
and maintains it, while the client pays only for the actual use of virtual machines. A
business does not need to buy licenses for programs, hire additional system administrators
and developers - it pays only for the resources it uses. And when it stops using it, it
stops paying.
Popular questions about Bigdata platform
A big data platform is a type of IT solution that combines the features and capabilities of
multiple big data applications and utilities into a single solution.
It is an enterprise-class IT platform that enables an organization to design, deploy,
operate, and manage a big data infrastructure/environment.
A big data platform typically consists of big data storage, servers, databases, big data
management, business intelligence, and other big data management utilities. It also supports
custom developments, queries, and integration with other systems. The main benefit of a big
data platform is to reduce the complexity of multiple vendors/solutions into one cohesive
solution. The big data platform is also delivered via the cloud, where the provider provides
end-to-end big data solutions and services.
It can be conditionally divided into the following stages:
Data collection. It can be open and open sources. The former include: data from public
services, publicly available commercial information, social networks, Internet services. Ko
husband is an analyst, data on online transactions). For the transmission of standard
application interfaces and protocols.
Data integration. Special systems convert them to a format suitable for storage, or limit
tracking to discuss triggers.
Processing and analysis. Operations in real time except when the information is logged to
the video functions for processing. Popular analysis techniques: training in associative
procedures, classification, cluster and regression analysis, mixing and combining data,
machine learning, pattern recognition, and others.
An important element of working with big data is search, which allows you to get data about
fibers. In a simple case, this works just like Google. Data is obtained for external and
external parties for a fee or free of charge - it all depends on the conditions of ownership
of them. Big data is in demand among enterprises and application services, trade and
telecommunications companies. For business users, information is collected in a visualized
form that is easy to understand. If the format is text, then these will be concise lists and
excerpts; if the format is graphic - graphics, graphics and animation.
Structured data. It is the simplest data type in terms of organization and retrieval. This
includes, for example, financial data, equipment logs, and demographic data. An Excel
spreadsheet with predefined columns and rows is a convenient way to present structured data.
Its components can be easily categorized, allowing developers and database administrators to
define simple search and analysis algorithms. But even if structured data is huge, it is not
necessarily big data because structured data itself is relatively easy to manage and
therefore does not meet the defining criteria of big data. Traditionally, a programming
language called the Structured Query Language (SQL) has been used to manipulate structured
data stored in a database. Developed by IBM in the 1970s, the SQL language is intended to
enable developers to create relational databases (in the spreadsheet style) that were
beginning to gain popularity during this period.
Unstructured data. This category of data may include items such as social media posts, audio
files, images, and customer comments with open-ended questions. This kind of data is not
easy to organize into standard relational databases with columns and rows. Traditionally,
companies that needed to search, manage, or analyze large amounts of unstructured data had
to use time-consuming manual processes. The potential value of analyzing and understanding
such data was never questioned, but the cost of analysis was often prohibitive, making it
impractical. Due to the high processing time, the results were often out of date before they
were received. Instead of spreadsheets or relational databases, unstructured data is
typically stored in data lakes, data warehouses, and NoSQL databases.
semi-structured data. As the name implies, semi-structured data is a hybrid of structured
and unstructured data. Email messages are a prime example: they can include unstructured
data in the body of the message, as well as organizational parameters such as sender,
recipient, subject, and date. Devices using geolocation, timestamps, or semantic tags can
also provide structured data along with unstructured content. For example, an unidentified
image from a smartphone can provide information about its category (selfie), as well as the
time and place it was taken. A modern AI-powered database can not only instantly identify
different types of data, but also generate algorithms in real time to effectively manage and
analyze disparate data sets.
"Volume". By 2020, the total volume of information created in the digital environment has
reached 44 zettabytes. The World Economic Forum predicts that by 2025, the volume of daily
Internet data traffic worldwide will reach 463 exabytes. In terms of a visual assessment of
such a huge amount of information, it should be noted that it would take more than 212
million DVDs to record it. The information that constitutes the volume of "big data" comes
from the millions of electronic networked devices and applications in use. For example, in
2019, the average daily number of created messages on Twitter was 500 million, 294 billion
emails, 65 billion messages and 2 billion voice recordings in the WhatsApp messenger, 5
billion search queries, etc. It is important to keep in mind that at the stage of
information accumulation, Big Data does not select "unnecessary" data: any transactions,
user actions on the network (including just browsing Internet pages, without taking active
actions or clicking on links).
Conventional storage and analysis tools are not capable of handling this amount of data.
"Velocity". The above data volumes are processed in real time, as opposed to traditional
batch data processing. This means that they accumulate instantly, while the duration of the
data stream itself does not matter. Thus, Big Data not only captures data flows, but also
records and processes them in such a way that there are no losses. An example of streaming
data processing is the YouTube service, which analyzes user data based not only on fully
watched videos and broadcasts, but also on materials that users skipped and perceived as
unnecessary. For the purposes of channel creators, YouTube additionally offers services for
collecting data on viewers' interests, geographic features, content preferences, suggestions
for the target audience9.
"Variety" Big Data is formed from various sources and in the form of a wide variety of data
formats (video data, photographs, sound recordings, text messages, transaction files,
comments, link usage and page view capture, etc.). The largest amount of "big data" is
formed from information in social networks and social media services and represents either
partially structured or unstructured information.
Sometimes Data Science platforms are perceived as analogues of Business Intelligence (BI)
systems, as they also contain tools for visualizing the results of data analysis. It is
important to understand the differences between them in order to choose the scope.
Traditionally, BI solutions are used for static reporting on the current or past state of a
business. They answer questions such as:
What is the dynamics of sales in the last quarter?
What caused the increase or decrease in sales?
what type of product produced the most in a month?
This is the so-called descriptive or descriptive analysis. In addition, BI systems work with
structured data extracted from data warehouses and present the result of the analysis in the
form of interactive dashboards - dashboards or reports.
Big data analysis platforms are already a tool for predictive and dynamic analysis. They
allow you to make forecasts for the development of any business area and make more accurate
decisions based on them. Typical questions: what is the optimal business development
scenario? What happens if current trends continue? What happens if a new managerial decision
is made?
Platforms can use both structured and unstructured data from multiple sources, and are adept
at handling big data. Since predictive analysis is aimed at predicting some parameter or
event, it focuses on a specific task, unlike business intelligence. Descriptive analysis, on
the other hand, should allow users the flexibility to create a report in the context that
they need.
Modern BI systems have a wide range of visualization tools: from line charts and pie charts
to heat maps and sledge charts. Therefore, although BI systems and data science platforms
are designed for different tasks, they can complement each other. For example, an existing
BI system can conveniently present the results of the analysis of data that comes from the
platform.
Usually in a company, each team has a tool for streamlining processes and collaborating on
tasks. Data processing platforms are as necessary a tool for data scientists as a source
code control system for developers, CRM for sales department and helpdesk for technical
support.
For example, in small companies, excel files or cloud kanban services are used instead of
CRM. Different managers may use different tools. At a certain stage, problems arise:
information is not stored in one place, managers do not have a single access to it, files
increase in volume, it takes a long time to search for information in them, and it is
difficult to scale such a system.
Similar difficulties arise in data science projects. Here are signs that it's time for you
to start using a big data analytics platform:
Reduced productivity. If you notice that there are too many tools, you spend a lot of time
on routine tasks, and the time for data processing and maintenance of different tools is
only growing - most likely, it's time for you to switch to the DS platform.
Scaling difficulties. When you need to replicate the developed application to other lines of
business or one of the stages of data processing required more computing resources, then
there is a need for scaling. If you need to scale, but you don't have a very good idea of
how to do it, then a platform is a must.
Transparency. If there are problems with communication in a team of data scientists, then
this indicates a lack of centralized knowledge that can be easily shared among themselves.
Modern platforms provide access to different employees involved in the project.
The market for data science platforms is growing along with the market for artificial
intelligence and advanced data analytics. According to Markets and Markets, the market for
big data analytics platforms is growing by an average of 30% per year. There are new
products that developers call data analysis platforms or data science platforms, and it can
be difficult for an unprepared person to understand them.
Real estate market. The use of big data allows you to improve the sale of real estate. For
example, using analytics tools designed for realtors helps them analyze their audience and
target buyers.
Entertainment, content. Consider the example of an online cinema. The Big Data analysis
platform helps the user find a movie that will definitely interest him. But you need to look
deeper - Big Data also helps to understand what films to make for moviegoers.
Agricultural industry Sensors, video cameras, sensors and other equipment help to collect
information about crop yields, weather, soil conditions, air humidity, livestock growth. Big
Data analysis helps to optimize the work of farmers.
Advertising and online trading. Big Data analysis systems examine the behavior of visitors
to an online store, compare the information received with the information already available,
and help predict which product a particular person may pay attention to. As a result,
advertising can be used more effectively.
Security. Any online business needs to deal with threats in a way that is as invisible to
the user as possible. The Big Data analysis system and machine learning allow modeling the
"respectable behavior" of website visitors. As a result, you can quickly detect potentially
dangerous, suspicious users and take the necessary measures.
The medicine. Big Data analysis platforms have been working in medicine for a long time -
they collect, structure, allow sharing and provide doctors from different parts of the world
with access to research, diagnostic methods, treatment, and disease prevention.
State administration. The Big Data analysis system helps the country's government make
important decisions in various sectors (health, economy, employment, crime control,
security, emergency response).
Internet of things. Big Data and IoT are closely related to each other. Devices connected to
the Internet of Things collect huge amounts of information, and the Big Data analysis system
allows you to provide the end user of these devices with exactly what he needs.
Popular questions about VPN Services
VPN (Virtual Private Network) is a secure encrypted user connection to the network. In fact,
this is an isolated virtual network within a regular network, where they are allowed by a
password. And everything that happens in it is inaccessible to those who are outside. The
maximum that they can see is the very fact of the existence of such an encrypted
network.
In fact, globally VPN is divided into paid and free. There are also public networks (the
same ones - paid and free) and private ones, as in the case of a large international
company, which cannot be accessed from the outside.
In everyday practice, the most common scenario is the creation of a secure tunnel between
two points, inside which some sensitive data is transmitted that is inaccessible to anyone
from the outside. For example, this is how ATMs or payment terminals located at the cash
desks in stores are connected to the bank's network via the regular Internet.
Another example is the local offices of international companies. Well, the most popular and
demanded scenario for using a VPN today is access to Internet resources. If we usually
connect to the Internet and go online through the server of our provider, then in the case
of a VPN, thanks to the tunnel, we go online through an encrypted channel through some
remote server, which may be somewhere in another country or continent. There is one more
nuance. Since we access the Web through a remote server, and not through our provider, then
the IP address of this server is not local.
Banks and international companies will figure it out themselves. But as for individuals, VPN
causes the greatest difficulties when using those services that are associated with
geolocation. Applications for delivery services, parking fees, dating services and others
simply do not understand where you are and what they have to offer you.
Another caveat is that a VPN connection cannot be as fast as regular Internet. Firstly, all
data transmitted through a VPN is first encoded and then decoded - and this takes time. Most
of all, this affects free services.
The speed is also reduced due to the fact that in the case of the regular Internet, we have
a lot of ways to access a particular site that are invisible to our eyes. In the case of a
VPN, there is only one way. And if it starts to fail, then the Internet simply stops working
for us.
In addition, as a rule, DDoS attacks that hackers use are carried out using a huge number of
hits to the site from all over the world. The site stops working because of this, unable to
cope with the load.
The main risk is data access, oddly enough. Yes, someone outside cannot see your data, but
there is also the VPN service itself, its servers and its admins. As the ancients said: "Who
will guard the guards?". For example, in July 2020, a database of 20 million users of free
VPN solutions turned out to be publicly available. Sometimes developers directly prescribe
in the contract the possibility of access to user data. It is also important that the
provider does not keep logs of user actions - this will protect you in case of data leakage
by the provider.
In addition, information security experts advise avoiding free services whenever possible,
since those who do not earn money in an obvious way earn it in some other way.
The best VPN providers offer app versions for Windows, macOS, and all sorts of mobile
devices, as well as extensions for different web browsers. Also, these services allow the
user to connect several devices at the same time, and some even give an unlimited number of
connections. This means that you can install a VPN application on almost every gadget you
own, from laptops and iPads to smart TVs.
Some VPN providers are particularly well suited for iOS and Android devices. These are
convenient applications that have all the functionality of desktop clients. A good tip is to
install a VPN on your mobile device, as this will protect it from threats on unfamiliar
networks and protect it from malicious attacks via public WiFi networks.
Another option is to install a VPN directly on your router or even order a router with the
application installed right away. So every device connected to this router will be protected
and you won't need to download apps to each device separately. You can also connect as many
devices as you want to a secure VPN network, even if your ISP limits the number of devices
per account.
There are so many VPN services on the market right now that it seems hard to choose. The
main advice is: choose a VPN based on your personal needs and what you will be doing with
the VPN. Of course, there are still basic characteristics that everyone should pay attention
to. For example, a VPN should offer user-friendly apps and enough connections so that all of
your devices can be protected.
One of the main reasons why many people download VPNs is the ability to watch movies and
series. If you need a service that will give access to content around the world, then pay
attention to these characteristics:
Extensive server network: the more servers, the more IP addresses. So the more servers a VPN
provider offers, the less chance your IP address will block a streaming site. Also, servers
in other countries will give you access to more diverse content in other regions.
Servers in certain countries: If you want to access BBC iPlayer from your country, then you
need a VPN with many reliable servers in the UK. The same is true for any content or
streaming platform that is only available in certain regions. So make sure the ISP has
servers where you want to connect.
High speeds: All VPNs slow down your internet connection a bit. You need to make sure that
the selected service is fast enough so that you can watch HD quality videos online without
any stuttering or buffering. That's why we put it to the test to find the fastest VPN for
streaming.
Unlimited Network Bandwidth: Streaming video online consumes a large portion of your network
bandwidth, so it's important to make sure your VPN can handle this load. Choose an app with
unlimited data so you don't have to worry about going over the limit.
Streaming Optimized Servers: With some VPNs, it is very easy to find the right streaming
server because all the best servers in each country are signed accordingly. This will help a
lot if you are new to VPN and don't want to spend a lot of time testing different
servers.
Most people would be happy to protect their privacy to a greater or lesser extent. If you are
one of them, then be especially careful when choosing a VPN. Look for one that has all of
the following features (and that's the bare minimum!), so you don't risk your privacy:
AES-256 Encryption: This is the gold standard of encryption used by the US military in
particular. All the best VPNs use it, so it shouldn't be a problem, but you should check
before you sign up anyway.
Kill switch: If your internet connection goes down while you are using the VPN, the kill
switch will block all your traffic until you can reconnect to the secure server. Without
this feature, you will be vulnerable to accidental data leaks that can compromise your
privacy. Many VPN services don't offer this feature in all their apps, so check everything
carefully.
Strict no-logging policy: You may think that a VPN service should not track your activities
in principle, but, alas, this is not always the case. When you use a VPN, only the
administrators of the service can see what you are doing, so it is extremely important to
make sure that your activities are not tracked or recorded under any circumstances.
IPv6 and DNS leak protection: Even when using a VPN, your data can fall into the wrong
hands, for example, as a result of IPv6 and DNS errors. The best VPN services will allow you
to avoid IPv6 and DNS leaks, thus providing maximum protection.
Not all VPN services are suitable for business. If you're looking for a premium VPN service
for your company, think carefully about your needs before choosing a service that can
provide you with everything you need:
Unlimited Connections and Users: Unless you're self-employed, you've probably wanted all of
your employees to use a VPN service at once.
Management features: if several people are connected to one account at once, then it would
be more convenient for you to manage their connections through a single control panel. Look
for a VPN that allows you to change the settings of multiple connected devices at the same
time.
Affordability: A VPN subscription is another expense; and it should be within your budget.
Of course, premium VPN services provide the highest quality services, but this does not mean
that you should be ready to pay any money. Looking for a service on a budget.
Security for public WiFi networks: It's important to make sure that your employees can work
as securely as possible from anywhere, whether it's in the office, home or coffee shop.
Choose a VPN that provides secure connections to public WiFi networks.
So, if you want to protect company data and the privacy of your employees online, VPN for
business is your choice. Luckily, some of the best services offer unlimited device
connectivity, so with just one account, you can protect your entire company.
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