Cloud Computing Big Data

People who belong to the group of neophobia, changing or moving is nearly impossible. In term of moving database, it’s still true to computer users or even to someone seeming to be clear-headed with any change. Due to the fact that it is involved with many other documents, indeed some are relatively important. However, even the most proactive person still hesitates whether they should transfer on-premises data to another different place, cloud. A plenty of people might call this action is to take the risk not only for their computer but also their work or even their life. That’s why the question of using only cloud-native databases or databases that both the cloud and on-premises can work on is taken into account.


The fact is that there are a plenty of discussions on choosing the cloud-native (it means “cloud-only”) or on-premises/ dual cloud.  We all know that in the perspective of a user, to come to the final decision is not easy as we thought as it still involves other issues of finance as well as operational efficiency. However, if you intend to use a cloud database, read on the lowdown below on how to pick the right one.

What is the superb news?

When we refer to the change of using a database, perhaps it will generate a plenty of different viewpoints because not every person is willing to try something new. As a matter of fact, a large number of IT companies do not have a habit of altering database regularly. They use a specific database in such a long time as a rule and of course, they don’t intend to stop using that one in the cloud.

However, what a huge pity, if you miss the relatively good news of the on-premises databases, are totally able to run on the cloud with a great performance.

Unfortunately, to some extent the cloud-native databases cannot entirely replace the position of traditional ones as this kind of database is seemingly just an alternative option. However, If you consider on-premises database not too crucial, let’s take a look at the cloud-native database.

Where are the upsides and downsides of cloud-native databases?

How much does it cost and how fast does it take are by far the most common questions that many people are wondering. Indeed, if your company is on a tight budget, any problem involved with money is always prioritized. Of course,  its performance is also put in a high priority.

The fact is two above-mentioned factors available on cloud-native databases as well while using services from the public cloud. Hence, all we need is to look for the right one that can match our preference but still affordable. Let’s make it clear.

• When we refer to the cloud-native databases’ negative parts, I surely know that many people will feel a sense of inconvenience. However everything usually comes up with both pros and cons, of course, not everyone can accept the drawbacks easily. Regarding of cloud-native databases, it comes with the disadvantages of when you desire to bring the data back to the premises the data have to be converted into the on-premises databases’ form. You might waste a little amount of time for doing this for sure.
• However, we cannot turn blind eyes on its advantages. The databases can certainly run both in on-premises as well as in the cloud. It greatly contributes to the convenience of users and helps them link data a mile a minute. It also means that the process of migration will be done at a great speed.
• Of course, cost always plays a vital part in any project. Measuring the total costs of databases is not too challenging. There are five types of the cost that you need to cover in the process of picking your right cloud databases. It will come with the DBA work (Database administrators usually use specific software with the aim of saving and managing data), backup and recovery (it mentions the process of data backed up if unfortunately, it loses), data integration (it takes responsibility of combining data from plenty of single sources into useful information), security (It plays an extremely important role in ensuring the safety of your databases), and the final one is DG (data governance has the goal of managing the availability, integrity, etc. of data in general). If you can measure these kinds of cost, everything will be much easier.
• If you do not follow the tenet of “You get what you pay for”, in another word, you don’t tend to prefer splurging on pricey stuff, I highly recommend a reasonable solution. Sometimes, an affordable solution can create a surprisingly amazing result that truly beyond our expectation. 

Frankly speaking, the cloud-native database is not a strange concept with many people, some have tried and applied to their project, some have just heard about it. However, I will suggest you give it a try to have a new experience on your computer.

Do you know about the merits of using cloud-native database? If not yet, why don’t you give it a try.

“Choosing the cloud database is confusing you? Down below we will show you how”

Whether you just want to expand your database to the cloud or migrate entirely to the cloud or are planning for a database deployment on-site or currently running your business database on-premises, make sure to take time to consider the cloud opportunity. With a large number of cloud database solutions available, how do you know which one is the best fit for you? The points discussed in this post will help you get started!

How to choose a cloud database?  

To choose the best cloud big data platform, base your choice on some of your unique business needs and always be true to them so that you can evaluate how each platform supports your needs.
Haven’t you yet been asked to port your applications to the cloud? It doesn’t mean you won’t be. Moving on-premises data to the cloud – it is all the rage these days. While you might find it pretty simple to migrate on-premises solutions to run in the Cloud, there are a lot of differences between On-Premises and Cloud-Native data center and hosting environments. If you desire to keep the data synchronized, it can be challenging to maintain data stores on-premises and in the cloud.


Sitting in a relational database, document or key-value store, network attached storage, cache, or cold storage, cloud-native databases have both cost and performance efficiencies from using cloud-native services in a public cloud infrastructure as a service or platform as a service. Is it really necessary to explain? Performance is, and always will be, a key element when it comes to choosing a server or a database solution. So, all things considered, they should be a faster and more cost-effective option for large businesses, as well as SMEs and startups with smaller budgets. Expect to do more with less!

But are cloud-native databases all about the advantages? No, they aren’t. Their downside is the minimum flexibility. If you need to move the data back to your premises, you will need to install the 3rd party software and convert the data into the structure of the on-premises databases. Don’t expect a ‘single pane of glass’ view for your entire database infrastructure!

Databases that run both on-premises and in the cloud (such as IBM, Oracle Database Cloud Service, SQL Server, Microsoft, and many others) are where the infrastructure, virtual machine, and operating system are abstracted away. Therefore, all that developers and administrators have to do is to do migrations lickety-split, and even do real-time replications between the on-premises and cloud-based versions of the same database without worrying about the application being deployed and hosted.

Research cloud database providers

Now as you understand your needs, it is high time to take a look at what different database providers have to offer. Make sure that the cloud database solution provider you are investing your time and efforts in will deliver exactly what they promise.

Since the options vary widely in capability, features, and pricing, if you make the wrong decision, it can lead to a myriad of problems which include your customers suing you. To make the best choice, you have to understand your needs and focus mostly on what you wish to see at the end of the day.

When it comes to picking a cloud hosting platform provider, cost is undoubtedly often the biggest factor in the minds of business leaders. Cloud database pricing runs the gamut: from free versions to pay-per-use to a monthly subscription. Usually, the least expensive solution (in terms of the size of the cloud bill) that meets the requirements of the business wins — or should. But is it always right to focus so heavily on the price since the value for your business needs is definitely the primary focus? Make sure you are taking into account not only what would be the cheapest solution for your company but also what would be the best fit for you.

Want to save costs on-premise and in the cloud? Another option to consider here is open source. There are enormous cloud databases you can weed through to decide the most efficient. If you are looking to choose from the biggest cloud hosting platforms, it comes as no surprise that Amazon Web Services (AWS), Google Cloud Platform (GCP), Rackspace Cloud, and Microsoft Azure are the dominant horses in this race. However, big-name companies do not necessarily have the solution to all your problems. Qubole and Joyent with strong big data credentials are examples of lesser-known providers of cloud big data services. Hadoop is usually available from major cloud providers, and other database models like EnterpriseDB, Garantia Data, or MongoLab may also be supported as cloud services. Each option offers its myriad of benefits and its share of disadvantages.

As developers charged with making a decision on the right cloud database to best serve their data and applications are faced with a plethora of choices, to heighten the probability of success in using a new cloud solution for your company, why not see our recommendations on the right way to pick a cloud database?

“Keep up with the latest trend of 2018 regarding database!”


Database has proven to be very effective and beneficial for financial Institutions around for years and few would dispute the benefits it brings to organizations that have more data stored than ever before. There’s a reason why the market size of database is predicted to almost certainly break past the $40 billion mark in 2018. It is strong, thriving, and constantly evolving.

1. Cognitive technologies – the real opportunities for business are on the rise

A powerful, open, and connected tool set to increasingly do tasks that once required humans, boost analytical capabilities, increase automation opportunities, and enhance the investment decision-making process, cognitive technologies, in the eyes of many leaders, are the most disruptive forces on the horizon.

Gone are the days when the computing systems only capture, move, and store unstructured data -- without understanding it: Cognitive solutions in 2018 will not only understand different types of data such as lab values in a structured database or the text of a scientific publication but drive huge transaction volumes that are hard to achieve otherwise.

Artificial intelligence-based systems trained to understand technical, industry-specific content, cognitive technologies extend the power of information technology to tasks traditionally performed by humans. And by using the advanced reasoning, predictive modeling, and machine learning techniques to advance research faster, they can enable organizations to break prevailing trade-offs between speed, cost, and quality.

2. There will be more growth in prescriptive analytics

Prescriptive analytics involves predicting the spending habits of each customer by analyzing consumers’ interaction with an online retailer when they do “site search”– transactions, web browsing, social media activity, interests, demographics, transforming it into meaningful trends, and thus, improving your customer relationship.

Applied to numerous industries and other facets of business, database is basically a roadmap to better business. Combining database with predictive analytics can be a huge benefit to any organization. Your business can connect the dots and uncover trends in your sales and customer behavior and you will be able to make really quick strategic decisions with the data you have.

For example: Predictive Analytics enable IBM’s business leaders to increase profitability, prevent fraud, and even measure the social media impact of marketing campaigns. And Microsoft — by integrating predictive analysis into their sales process, they are getting more accurate sales predictions from top down.

3. Machines Learning Speed Up Remediation

One of the main limitations of being human is simply our own bodies—and brains. But the days when people did almost everything manually are long gone. We are living in the world where a lot of human-like tasks are performed by machines. As computing power, data collection, and storage capabilities increase, Machine learning is being applied more broadly across industries and applications than ever before. And in the future, humans are expected to augment ourselves with computers and enhance many of our own natural abilities.

With the ability to generalize knowledge from data to perform tasks that human beings do naturally on a daily basis, ML, which is now being used to measure social sentiment and gauge a stock’s value before earnings reports come out, is probably the method people are most excited about right now.

4. Artificial intelligence (AI) will improve cybersecurity

Anyone running a business and the cybersecurity industry itself are not happy with the increasingly common cyber-attacks and cyber-hacks. But with the integration of AI into security systems can stem the growing and evolving cybersecurity risk facing global businesses.

As AI can process and analyze unlabeled data captured to understand new trends and details without any need for human supervision, when it comes to cybersecurity, it can quickly identify and analyze new exploits and weaknesses to help mitigate further attacks.

5. IoT - the next technological revolution will have a big impact on database

As digital and mobile technologies become part of daily life, the Internet of Things (IoT) – the emerging third wave in the development of the internet has been a major influence on the database landscape and will become a large part of database analysis in 2018.

According to Gartner – Global IT Research and Advisory Firm (excerpted from Forecast: The Internet of Things, Worldwide, 2013, published December of 2013): The Internet of Things will include 26 billion units installed and the revenue generated from IoT products and services will be exceeded $300 billion by 2020.

By generating an unprecedented amount of data, IoT is claimed to come to change the society we live in, as well as create entirely new business opportunities for companies by both academic researches and consulting firms. Both consumers and businesses alike have benefited from sensor-based analytics. An example: Customers can take advantage of a system that plays their favorite TV program as soon as they enter the room while UPS (United Parcel Service of America) - one of the largest and most successful logistics and shipping companies in the world uses sensors in its vehicles to improve delivery performance and cut costs.

With database being the axis of all important decisions made in every business, various Industries have experienced a big boom. How has database affected your business?

“Wondering how to choose the best NoSQL database, we’ve got you covered”

These days, NoSQL databases become a good choice for big data and analytics projects because of working effectively with large sets of distributed data. In this article, we will give you deeper insight about solutions like MongoDB, Elasticsearch, OrientDB, Hadoop and Cassandra.

1. MongoDB

Famous for being the most prevalent NoSQL database management system (DBMS), MongoDB is document-oriented and coded in C++. Invented to support high volumes of data, MongoDB carries on a logic of horizontal scalability with sharding and assists to implement a MapReduce system.


One of noticeable features of MongoDB in its 3rd version is that it allows to conduct  advanced research such as geospatial, faceted search, do research on some text as well as define the language, ignore “stop words” (“and”, “or”, “the”…in English for example). Besides, documents are stored in BSON (Binary + JSON) on computer, resulting in some disk space and a better performance.
Only accessing it through the protocol because of no API REST interface is a main downside of using this method. However, to narrow the gap, some external projects give a measure acting as the interface between an API REST and the protocol on the other side. It is possible for  Full-text search yet not in depth. It is can be inconvenience for users because of the lack of  some functionalities such as “ More like this” which is to help users to search for related documents.

2. Elasticsearch

Elasticsearch is another Another well-known cloud-based NoSQL database programmed in Java using Lucene. It is of plugins and tools that you have to pay for.

Elasticsearch has the ability  to implement complicated search on high volumes of data. Horizontal scalability becomes more effortless  since  you merely need to establish a new service. The invention of Elasticsearch has intention to prompt a ‘no SPOF’ (no Single Point Of Failure) engine -i.e. in a cluster of several Elasticsearch.  The data would be kept and the service would continue to work in case that a node would turn off. Without matching a schema,  users can store flat documents like JSON objects.

Put it in another way, using Elasticsearch as a main database system  is not good because  it’s a search engine but a database. It takes users some time before the data would be ready to work. Unlike MongoDB, Elasticsearch will do two queries to handle several documents.

3. OrientDB

Released in 2010 and a 2.0 version in 2015, OrientDB, open source and free for any use, emphasizes on graph-document.

It has no any leader nor any election between nodes from the cluster so OrientDB . In order to be more tolerant towards node failure without interrupting the service or data loss, the data is copied exactly and shared between the various nodes. By being scalable, OrientDB has set up some clusters at the class level to be more efficient. This enables you to search in the User class to find back all the users or to search in one of the clusters to limit the number of results. Besides, OrientDB helps you find quickly relationships with a native function especially when using a social network to find and suggest to users the friends of friends at different stages.

In spite of promises OrientDB made, we do only find few user feedback from a production with a large amount of data. The community isn’t quite big around this tool, which can be quite frightening if a problem might occur.

4. Hadoop & Hive

Hadoop is a Java framework helping some tools from the same ecosystem connect onto it. Thanks to MapReduce jobs, Hadoop abstracts the fact that the load is handed out and run as if the data was stored on one disk. And, Hive- a Java software, will connect itself onto Hadoop and run queries close to SQL syntax

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In the process of working, Hadoop aims to analyse a enormous volume of data shared through some servers. Take it as an example. To retrieving all the tweets with a particular hashtag to analyse the level of satisfaction towards a brand is one of useful functions of it.
One of downsides of this solution is that SQL queries are compiled in MapReduc job for a small-sized data or this tool is not suitable for many servers. Due to not being a search engine, Hive does not undertakes a ‘full-text’ search or faceted search.

5. Cassandra

Invented by Facebook and released in 2008, Cassandra is column-oriented and open source. It is the preference’ s big companies: eBay, Netflix, Github, Spotify, Instagram…

One of great functions of Cassandra is that it can help a strong scalability and to guarantee a high availability. The power is enhanced in proportion to nodes added as users add a Cassandra node within a cluster. Put it in another way, no need to worry about adding a node as it can be the case with other DBMS.

The schema is supposed to be specified in advance since the system remains column-oriented. In duration of retrieval, it is harsh. Also, Retrieval is not exhaustive, no like, no ‘full-text’ or faceted search.

To sum up

Each tool is given to deal with issues arising on specific projects. Combining NoSQL DBMS and/or also add a SQL solution like MySQL or PostgreSQL would be the best solution.  From all given information mentioned  above,  you will select the best fit for the desired task.

Find out the true cloud database provider is like seeking a treasure. The truth is it is quite easy to stay ahead of this task when you know the wheels in a car!


In the cloud database field, this is various service providers to establish and serve customers on the current market. It also includes reliable companies and fraudulent organizations that you may not identify.

To select the right cloud computing service, you should do your homework first like making a list of reputation enterprises. Then, you need to view all and pick the final one. However, how should you choose the right provider? Do not worry about it because I/we are here to support you to do that.

Some factors you should list out and take into account before selecting 

Though all cloud computing companies have to satisfy stern standards to do business in the industry, there are 3 main criterions you should think of in advance. Once you need to ask some questions along with how the company continues to grow technologies, several important points you should never ignore.

Security 

Cloud database is a huge part of the digital area; security layers play a key role. If not, all databases absolutely disappear in a few seconds! Also, your client’s database can cause a myriad of issues and your patrons can sue you, I am serious! Thus, you need to find out the service provider which gives you the safest services in the industry.

Updated deployment 

Database dangers keep developing, so you need to have a service provider in order to support you go ahead all issues. The service you choose should give frequent deployment from the updates to the database management system. All new updates should also be checked before they are deployed.

Role-based access control

This point will help you define other categories of access to know the delegation and duties for the users.

Authentication approach 

Recognizing the authentication way will support your understanding that if the cloud database is solid enough or not. Microsoft SQL Server has 2 kinds of authentication which are the SQL and Windows Server authentication.

Encryption service

Why should your company need encryption service? Because this will add to the security layers and make sure your databases are secure while processing from one place to another place.

Certified for technology 

A high-quality service provider should be certified for technology such as ISO 27001 or the government’s Cyber Essentials Scheme.

Management level 

Is it easy to use a cloud database platform? If it is not simple to undertake, you will not control it smoothly. Although the service provider assists you in the use process, it does not mean you ignore this task. You should also enable to handle the machines in a few clicks only. Pay attention to the management selections and other available options.

Performance ability 

Performance is always a key component in choosing a cloud computing or a database solution as well.

You need to ensure that your service provider enables to do well. Find principles and fight cards to look how your new cloud solutions work in the market.

Server performance is also the energy that moves your database forward. Figure out these following questions to check out the performance.

• How great are the physical elements? It is crucial to recognize which type of servers, RAM, CPU, and other storage abilities to determine the infrastructure underlying the DBMS. For instance, SherWeb gets excellent memory, high-end Intel CPUs, all-SSD networked storage, etc. to offer their high performance. 
• What is the highest number of connections to the database center? Most providers probably set connection limits in each plan, but some companies do not do that. 
• How is the internal network speed? Is it unnecessary?  Mostly, the database performance could be hampered by poor-quality connectivity and network latency. 

Price 

Draw attention to the quality is extremely important, but do not forget to check your budget and the service price.

It also means the total investments in this journey. When it is not tough to decide ops costs of databases, you should think of other price points such as the DBA work, backup and recovery, data integration, security, and data governance. Estimating those numbers take some searching to explore.

How to distinguish between the cloud and cloud computing

To be honest, I also confuse the cloud and cloud computing for the first place of knowing these. I even think they are the same and I do not need to find out further information. One day, a friend of mine told me that they are different. And here is the difference…

The cloud

Many of us use the cloud most of the time. In fact, this is just a buzzword when describing the Internet or intranet related to some kind of service or application provides. Thus, when you hear the term public cloud, understand that it is the Internet. Or the private cloud is your firm’s intranet. Typically, the cloud expresses to the public cloud.

Cloud computing 

Cloud computing indicates the Internet or intranet applications. It also means services that you regularly access, run, and monitor through a Web browser. This is because these services do not need you to download a program to your computer. You will save a lot of storage to do another task!

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Well, why should you need to differentiate two these terms? It possibly supports you to determine the best service provider on your list! If you do not understand all points of a story, how can you do the right way? (in this situation is choosing the proper cloud database service provider).

To wrap it up

It is so cool to have several paths to drive your car, but you will lose your control to have no idea which road you should go. Similarly, the side effect of getting too many things is that you cannot make up your mind. This is the time you should take a rest, do your small (but vital) task, enjoy a cup of tea or coffee, and make your list. Before shooting, do not miss out your wallet is also waiting for you at the end of an option... a cloud computing service provider!

What do you know about the cloud database? How to choose a right cloud database? Keep reading my today article.


As we know, cloud database has become more and more popular in the modern technology. However, I am sure that many users still do not understand the nature and benefits of cloud database as well as know how to choose a good cloud database. Therefore, in my today article, I will provide you helpful information about these issues, especially the way to pick a right cloud database.

2 main kinds of the cloud database

Nowadays there are two choices for you to make when you decide to pick a cloud database. You have to determine that your cloud database is run on cloud only or on premises.

In reality, this is a difficult question for many users since each option has its own strengths and weaknesses that you need to take into consideration. Both of the above choices are related to cost and effectiveness of the operation.

Many IT users prefer to take advantage of their old database system rather than setting up a new one. Nevertheless, there is surprising news to them as if their database is run on premises; it also can run on the cloud system as well.

At the meantime, some kinds of the database running on cloud only like AWS Redshift and AWS DynamoDB appear to be an alternative option for the database which just runs on the traditional system.

It is obvious that databases running on the cloud system only have superior capabilities in terms of cost and effectiveness. It can also solve some issues in a very fast way with high accuracy. Besides, the cost of applying the cloud database is also affordable. Therefore, it is a good choice for IT users at present times.

However, there is a certain disadvantage of the database running on the cloud system only. If you want to move information in your data back the premise mechanism, you have to change the data into premise system. To some extent, this can waste your time.

Of course, the benefits of both cloud databases which run on cloud system only and on-premises help IT users to save up their time and money as well. These two kinds of the cloud database also ensure that you do not need to overcome a period of converting the structure.

Criteria to choose a right a cloud database

Cost is one thing you should consider carefully before deciding to choose what kind of the cloud database you need. Apparently, it is not difficult to determine the real cost of the cloud database running on cloud only. Nonetheless, this is not easy to the cloud database running on premises.

Additionally, I think you also should focus on the management mechanism of the cloud database. There is no doubt that if the platform of your database is not easy to use, you may lose the ability to control it anytime. This is very dangerous to the whole controlling system as well as to your computers.

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Security is another criterion that you have to consider when deciding to pick up a cloud database. Undoubtedly, no one wants his or her system to be destroyed by virus or outside attacks. Thus, you need to ask the provider about this feature carefully.

Now it is time for you to search and find well-known database providers on the present market. In fact, there are various kinds of database providers which are different from services and management. If having a good service from the provider, you will have more chances to enhance the management and save up your money and time.

Searching for famous database providers will help you have more choices before deciding to pick up a cloud database. Remember that if you want to concentrate on the cloud database that is good at management or easy to use, you should only choose a good product for these points. Do not waste time seeing other irrelevant products.

I highly recommend you to choose some types of open database such as Apache Cassandra, CouchDB, MongoDB, HBase, and Hypertable.

Conclusion:

General speaking, the cloud database has been more and more prevalent in recent years. If IT users can apply it successfully, the cloud database will bring many benefits. However, before deciding to choose a cloud database, it is necessary for you to know some criteria to pick up a right cloud database. I hope that my today article can help you understand more about this.

Have you heard of NoSQL database? What do you know about it? Keep reading my today article.

Introduction

In recent years, there are significant changes in NoSQL database in terms of structure and capabilities. Therefore, it is time for you to choose a suitable type for the application. It is unquestionable that NoSQL database has superior abilities related to speed and flexibility. Of course, traditional databases do not have these strong points. In my today article, I will provide you helpful information about NoSQL database.

Key factors to a NoSQL database

When you compare traditional databases and NoSQL database, you will certainly see apparent differences. NoSQL database has striking characteristics concerned with the key, column, graph, and other necessary elements. However, the main reason why NoSQL database is preferred at present time is that it is especially appropriate for all sets of data and big data analytics.

It is also essential for you to know some key criteria to pick up a good NoSQL database.

First and foremost, when you want to choose a good NoSQL database, you need to determine exactly what your purpose is. In this situation, main stores are very important in the way data and information are exchanged in the application.  Meanwhile, if you want to have a tool for calculation and variable structure, the graph is necessary also.


And, if you look at the ability to collect and synthesize documents and data with high speed and effectiveness, I highly recommend you to choose a wide column.

In a short-term, you should concentrate on some aspects of a NoSQL database such as performance, level of convergence, security, and workloads support. Among these features, security is the most important one as it helps to protect core data and information from outside dangers.

NoSQL offers distinct levels of scale because each level requires a specific solution. Furthermore, if you want to support banking transactions on the market, a relational database may be the best option for users.

Popular types of NoSQL database

Nowadays, there are various kinds of NoSQL database that you need to know and take them into consideration before deciding to use.

Mongo DB

In reality, this is the most prevalent type of NoSQL database at present time. With high technological features, Mongo DB takes advantage of JSON to enhance its ability to open different sources and documents. At the meantime, the platform is stable thanks to a combination between the Gnu Affero General Public License and the Apache License.

This kind of NoSQL database is being used in all parts of the world, especially in some large corporations which have many employees and structures. I think main advantages of Mongo DB focus on abilities to monitor the software, solve some problems, and so on.

Amazon Dynamo DB

Another popular type of NoSQL database is Amazon Dynamo DB. It has a perfect performance in processing, analyzing, monitoring, and exchanging data. The solid state drive is implemented to do this task quickly and exactly.

When using Amazon Dynamo DB, you can control the application thanks to APIs and the Amazon Web Services Management Console. The platform of this NoSQL database also supports the use of other applications and social media.

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Another thing I want to mention in my today article is DataStax and DataStax Enterprise Platform. DataStax does support for Apache Cassandra in crossing data. The strong point of DataStax is its ability to distribute data at a global level. Besides, it also has striking features in terms of monitoring, analyzing, searching, and securing data.

In fact, DataStax supports and can be used in numerous kinds of database. Thus, it prefers to take advantage of the multi-program mechanism.

Couchbase is a vital element of NoSQL databases. It ensures that other systems and mechanisms can run smoothly and boost the speed of solving problems. Many companies and organizations take advantage of Couchbase to support applications in your computers and mobile phones as well.

There are also other kinds of NoSQL database that you need to know such as Blaze Graph, Helium, ThingSpan, and so on. Of course, when choosing what type is suitable for your application and the controlling system, you need to consider your purpose carefully.

Conclusion

NoSQL database has been becoming more and more popular in recent years. It is undeniable that NoSQL database has striking features and abilities that others do not have. NoSQL database can help you in monitoring, searching, exchanging, and restoring the data in an exact way. I do hope that my today article can help you understand more about NoSQL database.

What do you know about big data analytics? Why is it important in the world market? Keep reading this article.

Introduction

It is undeniable that public clouds will become a promising method for analyzing a huge amount of data in the near future. Applying it in today technology ensures a concrete platform for the value. Admittedly, the work of analyzing big data at present time is so far different from that of previous days. Many specialists do hope that there will be a significant change in this field in coming years. I will help you understand more about this issue in my today article.

A significant change of big data analytics

In a recent report conducted by the Global Industry, the analytics of big data in 2017 tended to increase by more or less 25% compared with the previous year. This figure shocks a lot of people as it happened faster than others predict.


Furthermore, many companies and enterprises are investing their money in analyzing big data. Wikibon has just predicted that there will be an 11% growth of global data analytics in 2027. This number can peak at around 103 billion US dollars at the global level as well. Some specialists strongly believe that the global market may be kept stable thanks to the application of big data analytics.

There is no doubt that a big shift will happen in the upcoming decade. In this field, the public cloud is expanding its influence in the world big data analytics. Nowadays, it appears that 3 main big data analytics providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Their revenue and fame have pervaded to all corners of the world in recent years.

These large providers are changing their own organization and enhance the technology by applying more and more updated applications. They can account for roughly 60% of global big data market in the future.

Additionally, benefits that public cloud brings for users apparently overtake those that private one does. The reasons for this are public clouds always updating their systems and they also solve all problems in a quick way and exactly.

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Big Data Vs The Cloud

At present times, users prefer to use multivendor big data analytics rather than traditional methods in some ecosystems. In fact, they are applying superior features of big data analytics to enhance the effectiveness and avoid commercial risks on the global market.

Databases also are being fixed to be suitable for new applications. Of course, the old form of database in previous times seems to be out of date. And, it can become a menace to our systems. To avoid being affected negatively, big data analytics providers are experimenting new applications.

In some cases, vendors also implement feasible approaches to deal with this weak point. They try to restructure principal databases’ abilities. If successfully, the data analytics will open more new opportunities.

Challenges to big data analytics

Even though a noticeable change in global data analytics in the coming decade, there are also some challenges to this field.

One of the biggest hindrances to global data analytics is complexity. It is undeniable that the nature of data analytics and its applications seem to be still very complicated. This creates a long process for resolving stemming issues. Therefore, vendors have to concentrate on simple applications such as interface, architecture, and other essential elements.

Another weakness of global data analytics is that this filed has a cumbersome process. To some extent, it is still expensive, inconvenient, and ineffective. Thus, vendors should have their own solutions to reduce some difficulties.

Long time for pipelines also is a certain obstacle for the global big data analytics. There is no doubt that this service is important for current trends in the modern global market. However, the way that it analyzes big data wastes a lot of time.

Wikibon highly recommends users to take advantage of public clouds in analyzing big data. This will certainly help you ease some problems of global big data analytics and save up your time as well as money as much as possible.

Conclusion:

By and large, global big data analytics has been changing so fast in recent years. It is foreseen that in the near future, this area will account for a large proportion of the world market. If you know how to take advantage of big data analytics, you can avoid some risks and difficulties of the global market. I do hope that my today article can help you insight into this field.