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Introduction to TensorFlow OpenCL

TensorFlow is a machine learning algorithm execution framework based on artificial intelligence concepts. We’re working on adding support for OpenCLTM devices to the TensorFlow framework using SYCLTM to give developers access to a wider range of processors. SYCL is an easy free, cross-platform C++ abstraction layer, while OpenCL(Open Computing Language) is a framework for building applications that execute across heterogeneous platforms. OpenCL is a standard parallel computing standard for event and data-based parallelism.

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Overview of TensorFlow OpenCL CUDA vs OpenCL

Comparison CUDA OpenCL

Developed by NVIDIA Corporation. developed by Khronos Group

Definition Compute Unified Device Architecture (CUDA) is a parallel computing design that supports applications that demand a lot of parallel processing. OpenCL is an open standard that may be used on a wide range of hardware, including desktop and laptop GPUs.

Multiple OS Support

e.g., Windows XP and later, macOS

OpenCL, on the other hand, can run on practically any operating system and on a wide range of hardware.

e.g., Android, FreeBSD, Windows, Linux, macOS e

GPU Support 2 GPUs Utilize 1GPU

Language support C, C++, fortran C, C++

Templates CUDA is a C API and also constructs. C++ bindings and has C99

Function Compiler- build kernels Kernels at run time.

Libraries Has a large number of high-performance libraries Although it has a large number of libraries that may be used on any OpenCL-compliant hardware, it is not as comprehensive as CUDA.

Performance

TensorFlow OpenCL examples

There are no known vulnerabilities in TensorFlow-OpenCL and no known vulnerabilities in its dependent libraries. The Apache-2.0 License applies to TensorFlow-OpenCL. This is a permissive license. Permissive licenses offer the fewest limitations and can be used in almost any project.

Blender’s most recent versions support OpenCL rendering. Using the container that has been provided to the Sylabs library, you can run Blender as a graphical programme that will use a local Radeon GPU for OpenCL compute:

$ singularity exec --rocm --bind /etc/OpenCL library://sylabs/demo/blend blender

Set-Up and Run the TensorFlow OpenCL

To add OpenCL support to TensorFlow, we need to use ComputeCpp to create an OpenCL version of TensorFlow. TensorFlow now includes OpenCL support, which can be implemented using SYCL, thanks to Codeplay. TensorFlow is based on the Eigen linear algebra C++ library.

OpenCL installation

clinfo

Install Packages

pip install -U –user numpy==1.14.5 wheel==0.31.1 six==1.11.0 mock==2.0.0 enum34==1.1.6

Configure Set-up

cd tensorflow

Environment variables Set-up

It’s a good idea to run the tests to ensure TensorFlow was constructed successfully. With the following command, you may perform a big set of roughly 1500 tests:

bazel test --test_lang_filters=cc,py --test_timeout 1500 --verbose_failures --jobs=1 --config=sycl --config=opt --

Build Tensor Flow

cd tensorflow

Set-Up operations

with tf.Session() as se1:

This line-up will build a new context manager, instructing TensorFlow to use the GPU to accomplish those tasks.

TensorFlow program

Program #1

>>> se1.close()

d_name = sys.argv[1] print(“n” * 6)

Explanation

Python chúng tôi gpu 1500

Output:

OpenCL Acceleration for TensorFlow

OpenCL allows a wide range of accelerators to be used, involving multi-core CPUs, GPUs, DSPs, FPGAs, and specialized hardware like inferencing engines. An OpenCL system is divided into host and device components, with host software developed in a general programming language like C or C++ and generated for running on a host CPU using a normal compiler. TensorFlow to OpenCL translation would necessitate scribbling the kernels in OpenCL C and distinct codebases, both of which would be difficult to maintain. All of it is single-source C++ when using SYCL, therefore it’s possible to integrate the SYCL back-end to TensorFlow in a non-intrusive way.

Let’s see the sample code for registration

}

Conclusion

In general, OpenCL is successful. As a standard, it contains all of the necessary parts, namely run-time code creation and sufficient support for heterogeneous computing. Therefore, in this article, we have seen how tensor flow is acted on OpenCL.

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Complete Guide On Tensorflow Federated

Introduction to TensorFlow Federated

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This article will try to understand tensorflow federated, how we can use it, its Model, characteristics, computation API, and finally conclude our view.

What is TensorFlow federated?

The framework helps you perform machine learning on completely decentralized data. We train the models that are shared globally and include the clients participating in placing their data for training locally. One of the examples which will be helpful to understand where we make the use of tensorflow federation is for the training of keyboard prediction model on mobile phones and making sure at the same time that the sensitive and secured data is not being uploaded on the data server.

The developers can use and include Federated learning algorithms in their data and models. At the same time, the novel algorithms are available and open for any experimentation for the developers. Therefore, the people performing the research on this can find ample examples and the point where they can start for various experiment topics. Federated analytics is the computation that is non-learning based and can be implemented using the interface of tensorflow federated.

How and where to use TensorFlow federated?

We can make the use of federated learning in various ways that include –

By using FC API, design and create new federated learning algorithms.

Assisting the development and optimization of computation structures that are generated.

Apply the APIs of the federated learning to the models of TensorFlow that exist currently.

Integrate the Tensorflow Federated framework with other environments of development.

You can make use of it by following the below steps –

Installation of TFF –

This can be done by opening the terminal or command prompt and typing in the following command for execution –

pip install tensorflow-federated –upgrade

Create a notebook and import the package and other dependencies.

Prepare the dataset for simulation.

The data should be of NIST or MNIST format and is by default provided when you go for creating a leaf project.

Make the use of federated data to train the Model.

After that, you can train the Model and make it aware of various functionalities that it should perform and be aware as you do with any of the TensorFlow models.

Print the summarized information about the implementation of tensorflow federated.

Finally, you can print out the machine learning tensorflow federated model results.

TensorFlow federated Model

The two models used in TensorFlow federated FL API are tff.learning.Model and create_keras_model().

TensorFlow federated characteristics

The main characteristics are listed below –

Effort saving – Whenever any developer approaches to create a learning system of federated, the pain points where the developers mostly face the problem are targeted here, and the platform of tensorflow federated is designed keeping the mitigations of those points in mind for the convenience of developers. The challenges faced by most of the developers include local and global communication perspectives, logic interleaving of various types, and execution and construction order tension.

Architecture agnostic – It can compile the whole code and provide the representation of the same in an abstract way, which facilitates the developer to deploy its Model acrModel diverse environment.

Availability of many extensions – Quantization, compression, and differential privacy are some of the extensions available in Tensorflow Federated.

TensorFlow federated Computation API

There are two types of computation APIs, which are described below –

Federated Core API, also known as FC –

The low-level interface used at the system’s core part is included in this API. Federated algorithms can be concisely expressed along with the combination of TensorFlow using this API. It also consists of a functional programming environment that is typed strongly and includes the distributed operators for communication. This API layer is the base over which we have created the building of federated learning.

Federated Learning API, referred to as FL –

The developers can include the evaluation and federated training models to the existing models of TensorFlow by using the high-level interfaces provided in this federated learning API layer.

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Complete Guide To Mongodb Commands

Introduction to MongoDB Commands

MongoDB is a cross-platform, document-oriented, open-source database management system with high availability, performance, and scalability. MongoDB, a NoSQL database, finds extensive use in big data applications and other complex data processing tasks that do not align well with the relational database model. Instead of using the relational database notion of storing data in tables, MongoDB architecture is built on collections and documents. Here we discuss the MongoDB commands.

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Why MongoDB Commands?

It can easily control global data, ensuring fast performance and compliance.

It provides a flexible data model. This goes with the case where the app needs to be built from scratch or the case of updating a single record.

Scaling the application ensures that there is no downtime.

Features

MongoDB command uses a master-slave replication concept. To prevent database downtime, this replica feature is essential.

MongoDB command comes with the auto-sharding feature, which distributes data across multiple physical partitions known as shards. The result of which automatic load balancing happens.

It’s schema-less. Hence more efficient.

Basic of MongoDB Commands 1. Create database

In MongoDB use, DATABASE_NAME is used to create a database. If this name database doesn’t exist, it will get created, and else it will return the existing one.

To check the current database now:

By default, the MongoDB command comes with the database name “test.” Suppose you inserted a document without specifying the database; MongoDB will automatically store it in a “test” database.

2. Drop Database

If the database is not specified, it will delete the default database, “test.”

3. Create Collection

To create a collection, the MongoDB command used is: db.createCollection(name, options)

Here, the name is the Collection’s name & options are a document used to specify the Collection’s configuration. Though the “Options” parameter is optional, it’s good to provide it.

4. Drop Collection

5. Insert Document

To insert data into a database collection in MongoDB, you can use the “insert()” or “save()” method.

Here “mycol” is the collection name. If the Collection doesn’t exist, then the MongoDB command will create the database collection, which will be inserted.

6. Query Document

Querying Collection is done by the find() method.

As the find() method will show the findings in a non-structured way, a structured pretty() method is used to get the results.

Intermediate MongoDB Commands 1. Limit()

This MongoDB command limits the no. of records need to use in MongoDB. The argument of this function accepts only number types. The argument is the number of the Document that needs to be displayed.

2. Sort()

This is to the records of MongoDB. 1 & -1 are used to sort the documents. 1 is for ascending, whereas -1 is for descending.

3. Indexing is the concept that helps MongoDB to scan documents in an inefficient way

Advanced Commands of  MongoDB 1. Aggregate ()

This MongoDB command helps process the data, which returns the calculated result. This can group values from multiple documents together.

2. Replication

Replication in MongoDB is achieved using a replication set. A replica set is a group of MongoDB processes with the same dataset. Replica set provides:

High availability

Redundancy hence faults tolerant/disaster recovery.

In replica, one node is the primary node, and the rest are the secondary node. All write operations remain with the primary node.

Let’s see; you can convert a standalone MongoDB instance into a replica set.

Here are the steps for that:

Close is already running the MongoDB server.

Now Start the MongoDB server by specifying — replSet option.

Syntax:

3. Create & restore Backup

To create the Backup, the mongodump command is used. The server’s data will be dumped into a dump directory(/bin/dump/). Options are there to limit the data.

To restore a backup in MongoDB, you would use the “mongorestore” command.

4. Monitor Deployment

To check the status of all your running processes/instances, a mongostat command is helpful. It tracks and returns the counter of database operations. These counters include inserts, updates, queries, deletes, and cursors. This MongoDB command is beneficial as it shows your status about low running memory, some performance issues, etc.

You must go to your MongoDB installation bin directory and run mongostat.

Tips and Tricks to Use MongoDB Commands

Pre-allocate space: When you know your Document will grow to a certain size. This is an optimization technique in MongoDB. Insert a document and add a garbage field.

Try fetching data in a single query.

As MongoDB is, by default, case sensitive.

Example:

db.people.find({name: ‘Russell’}) &

db.people.find({name: ‘russell’}) are different.

While performing a search, it’s a good habit to use regex. Like:

db.people.find({name: /russell/i})

Prefer Odd No. of Replica Sets: Using replica sets is an easy way to add redundancy and enhance read performance. All nodes replicate the data, and it can be retrieved in case of a primary node failure. They vote amongst themselves and elect a primary node. Using the odd number of the replica will make voting more accessible in case of failure.

Secure MongoDB using a firewall: As MongoDB itself doesn’t provide any authentication, it’s better to secure it with a firewall and mapping it to the correct interface.

No joins: MongoDB, a NoSQL database, does not support joins. One must write multiple queries to retrieve data from more than two collections. Writing queries can become hectic if the schema is not well organized. This may result in the re-designing of the schema. It’s always better to spend some extra time to design a schema.

 Conclusion

MongoDB commands are the best practice solution to maintain high availability, efficient and scalable operations, which is today’s business demand.

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Complete Guide To Matlab Remainder

Introduction to Matlab Remainder

The following article provides an outline for Matlab Remainder. Remainder is obtained in division when 2 numbers can’t be divided exactly.

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In division 4 quantities are involved.

Dividend: The number which is to be divided.

Divisor: The number ‘by which’ the ‘Dividend’ is to be divided.

Quotient: The ‘multiplying factor’ by which ‘Divisor’ is multiplied to get it equal to or closest to the ‘Dividend’.

Remainder: If the product Divisor * Quotient is not equal to the ‘Dividend’, then the lag is referred as ‘Remainder.

In Matlab we use ‘rem’ function for the purpose of finding the remainder of a division.

Syntax:

R = rem (A, B)

Description:

R = rem (A, B) will return the remainder when ‘A’ is divided by ‘B’.

A is dividend and B is Divisor.

A range like A:B can also be passed as an argument. In this case, the entire range will be considered as ‘Dividends’ and we get an array of ‘Remainders’ respective to each dividend.

Examples of Matlab Remainder

Given below are the examples mentioned :

Example #1

For our first example, we will follow the following steps:

Initialize the Dividend.

Initialize the Divisor.

Pass both Dividend and Divisor to the rem function.

Code:

A = 15

[Initializing the Dividend]

[Initializing the Dividend]

B = 3

[Initializing the Divisor]

[Initializing the Divisor]

R = rem(A, B)

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0’ as remainder. This is because 3 exactly divides 15, leaving no remainder]

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0’ as remainder. This is because 3 exactly divides 15, leaving no remainder]

Input:

R = rem(A, B)

Output:

As we can see in the output, we have obtained the remainder of 15 and 3 as ‘0’.

Example #2

In this example, we will take a non-integer dividend and divisor as an integer.

For this example, we will follow the following steps:

Initialize the Dividend.

Initialize the Divisor.

Pass both Dividend and Divisor to the rem function.

Code:

A = 6.7

[Initializing the Dividend]

[Initializing the Dividend]

B = 3

[Initializing the Divisor]

[Initializing the Divisor]

R = rem(A, B)

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0.7’ as remainder. This is because 3 does not divide 6.7 exactly, and leaves 0.7 as remainder]

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0.7’ as remainder. This is because 3 does not divide 6.7 exactly, and leaves 0.7 as remainder]

Input:

R = rem(A, B)

Output:

As we can see in the output, we have obtained the remainder of 6.7 and 3 as ‘0.7’.

Example #3

In this example, we will take both dividend and divisor as non-integers.

For this example, we will follow the following steps:

Initialize the Dividend.

Initialize the Divisor.

Pass both Dividend and Divisor to the rem function.

Code:

[Initializing the Dividend]

[Initializing the Dividend]

B = 4.32

[Initializing the Divisor]

[Initializing the Divisor]

R = rem(A, B)

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0.12’ as remainder. This is because 4.32 does not divide 17.4 exactly and leaves 0.12 as remainder]

[Passing Dividend and Divisor as arguments to the rem function] [Mathematically, if we divide A with B, we will get ‘0.12’ as remainder. This is because 4.32 does not divide 17.4 exactly and leaves 0.12 as remainder]

Input:

R = rem(A, B)

Output:

As we can see in the output, we have obtained the remainder of 17.4 and 4.32 as 0.12.

In the above 3 examples, we used rem function to get the remainder for single input.

Next, we will see how to use rem function for a range of dividends.

Passing a range of integers to the rem function will give an array output with remainder of each element when divided by the divisor.

Example #4

We will take a range of 5 to 10 and will use 4 as divisor.

For this example, we will follow the following steps:

Initialize the range as [5:10]

Initialize the Divisor

Pass both Dividend range and Divisor to the rem function

Code:

A = [5 : 10] [Initializing the range of Dividends]

B = 4

[Initializing the Divisor]

[Initializing the Divisor]

R = rem(A, B)

[Passing Dividend range and Divisor as arguments to the rem function] [Mathematically, if we divide every integer from 5 to 10 by 4, we will get the following remainders:

Please note that these remainders correspond to division of elements of A by 4]

Input:

A = [5 : 10] R = rem(A, B)

Output:

As we can see in the output, we have obtained the array of remainders for the range passed as an argument.

Example #5

Let us take another example and take a range of 10 to 15.

For this example, we will follow the following steps:

Initialize the range as [10:15].

Initialize the Divisor as 3.

Pass both Dividend range and Divisor to the rem function.

Code:

A = [10 : 15] [Initializing the range of Dividends]

B = 3

[Initializing the Divisor]

[Initializing the Divisor]

R = rem(A, B)

[Passing Dividend range and Divisor as arguments to the rem function] [Mathematically, if we divide every integer from 10 to 15 by 3, we will get following remainders:

[Passing Dividend range and Divisor as arguments to the rem function] [Mathematically, if we divide every integer from 10 to 15 by 3, we will get following remainders:

1 2 0 1 2 0]

Input:

A = [10 : 15] R = rem(A, B)

Output:

As we can see in the output, we have obtained the array of remainders for the range passed as an argument.

Conclusion

‘rem’ function is used in Matlab to find the remainders during division. We can pass both single dividends or a range of dividends as argument to the ‘rem’ function.

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Complete Guide To Penetration Testing

Introduction to Penetration Testing

Web development, programming languages, Software testing & others

Regardless of how securely the web application has been developed, there will always be any flaw that makes it vulnerable to cyber attack. In order to make the organization free from security issues, the security professional of that organization has to be very careful about handling the company’s network and the web application.

When it comes to handling the network or web application of any organization, it is very important to sincerely take each security aspect. One of the approaches to keep it secure is by deploying Antivirus, firewall, IPS and IDS systems, etc. The role of their software is to ensure that no attack can cause harm to the system.

In this approach, we have the security professional try to hack our own system just to make sure how an actual hacker can compromise our system. As it is done with all the system owner’s consent, it is also called ethical hacking.

What is Penetration Testing?

Penetration testing may be defined as exploiting the system with the system owner’s consent to get real exposure to the existing vulnerabilities. In this approach, the security professional tries to hack the system using all the ways that a hacker can use to compromise the system.

Through it happens with the consent of the system’s owner, it might depend if they want to share the internal details of the system with the ethical hacker based on the kind of ethical hacking they want to get performed in their system.

All three kinds of hacking, white hat, grey hat and black hat, could be performed under the penetration testing test. The professional who does pentesting is called pentesters.

Penetration testing could be done on web applications as well as in the network. The ethical hacker follows all the steps from information gathering to exploiting the system to get all the possible flaws, which can weaken the system’s security.

Based on whether the web application or the network has to be hacked, different tools and technologies are available to leverage. Also, based on what kind of security the organization wants to ensure, it depends on how the pentester will choose the approach of hacking. The pentester can also be asked to hack the life or the under-construction websites to get the idea of how it is developed and how it is being developed, respectively.

How is Penetration Testing Performed?

Penetration testing involves the open approach, which means the way pentesting could be performed varies from person to person. But overall, all the pentesters apply the same approaches or follow the same steps to implement their ideas.

Below are the steps that are usually involved in penetration testing:

1. Reconnaissance

Reconnaissance may be defined as the way of performing the footprinting of the system by finding all the related details of the target.

It includes finding the target’s physical location, gathering information about its surroundings, finding details about it through social media, being engaged with the people who are the legitimate user of the target, and so on.

This step plays a vital role by making the hacker aware of the target.

2. Scanning

Scanning, as the name states, this step is all about scanning the target in order to get all the technical details about it.

It is the hacker actually uses the most important step as the hacker’s technical details gathered during this phase to exploit the target.

Scanning has to be done very carefully on the target else, and it could alert the owner or the system administrators if the smart software backs it.

3. Gaining Access

After performing the scanning and gathering all the crucial details about the system, it is about how the details could be leveraged to break into the target.

In this phase, it takes all the expertise of the hacker to get completed successfully.

It is important for hackers to be aware of all the possible approaches to exploit the system using their knowledge and experience.

4. Maintaining Access

After the system has been compromised, it is now the turn to manage the access in the target without the knowledge of the system administrator.

Creating the backdoor to get regular access to the target falls under this phase.

The hacker can create the backdoor using trojan so that they can use the target for their purpose whenever required. While residing inside the target, it is very important for the attacker to remain hidden; else, they can be thrown out of the target.

5. Clearing Track

When all the phases are completed, and it turns to clear all the evidence that the attacker might have left while attacking the system, the attacker has to opt for the techniques to erase everything they did.

It is the final phase as penetration testing is considered completed after this phase.

Penetration Testing Techniques

Penetration testing can be done in various ways. A good penetration tester is supposed to have their own skills that they can use to break any system. It all depends on what kind of system has to be compromised in an overview manner if it comes to penetration testing techniques. If the system is the web application or the network or what kind of system it is, it all decides what kind of approach or technique has to be applied to compromise the system.

It is very important to understand that different systems have different specifications, and in order to break them, it needs expertise in these particular specifications. The ethical hacker usually prefers to have a checklist of all the vulnerabilities that might exist in the system.

In some networks or web applications backed by security applications, it is very tough to bypass through them, making it very tough to perform the DAST penetration testing. The outcome of the penetration testing is then presented to the system administrators or the system owners to get those remediated.

Penetration Testing Tools

Below are some of the important penetration testing tools:

1. Burpsuite

Burpsuite may be defined as one of the sniffing tools that catch the packets that are transmitted from the web browser to towards the server. The sniffed packets can be then changed or manipulated to launch the attack. It carries various important data that the hacker can use in various ways to exploit the system.

2. OWASP ZAP 3. Wireshark

Wireshark may be defined as the network traffic sniffing tool that can catch the network packet flowing through any network and get all the details that have been carried by it to exploit the system. If any of the users are doing some critical transaction, the Wireshark application can catch the packer involved in the transaction and can discover the data it is carrying to the server.

4. Nexpose

Nexpose is the other tool used to find or scan the vulnerability of any network. It runs the map behind the system in order to get the status of the ports and the services running on them. It is a very important tool to find out the existing vulnerabilities in the network. In addition to finding the network’s weakness, it also suggests the steps that have to be followed to remove all the weaknesses.

5. Metasploit

Metasploit is the inbuilt tool in Kali Linux used to perform the actual exploit. It is used in the terminal of Kali Linux, where it lets the hacker get access to the target system. It is a very big tool that lets us hack several devices that run the various operating systems on it. It has to be considered very seriously when it comes to exploiting the weakness of any system. 

Advantages:

Penetration testing ensures the safety of the system by making sure that the actual hacker cannot breach the security by finding the flaws in the system.

It gives the idea about what kind of vulnerability actually exists in the system so that the system owner could remediate those.

Cybersecurity is considered the mandatory checks that the organization has to go through to find out what is going wrong with their system.

There are security breaches that could be only explored if the ethical hacker can try to exploit the system by applying all the approaches that a real hacker can do.

The outcome of penetration testing is very important, while they have to be resolved in order to make sure that the system is free from the weak points.

If the system is the production system and some of the important measures are not taken care of, it may lead to system downtime, which will definitely lead to the organisation’s performance.

It takes the extra cost to get the penetration testing done of any site as the hacker these days charges well sum to perform the system’s penetration testing.

It is sometimes very time taking to perform the penetration testing, due to which the organization has to devote some of the time if there is any need to manage the downtime of the system.

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Complete Guide To Mongodb Careers

Introduction to MongoDB Careers

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Why do we make Careers in MongoDB?

The below are the reasons why you should choose MongoDB technology or even MongoDB company for your career:

MongoDB is the leading and evolving database technology that gives the power to perform sophisticated data manipulations tasks in a very easy way.

It provides many predefined utilities and functionalities such as routines, functions, stored procedures, etc., which add to automation and reduce much of the user or developer work.

It is an open-source platform which means that it is free for any of the changes to be incorporated and releases its new versions with new features and functionalities added now and then as per requirements.

The core values of MongoDB company, if you wish to join it, are making your word and suggestion matter, team spirit is admired, building together make it wise, know the importance of differences and embrace them, being transparent and honest intellectually, go far and thing big and making you proud of the work that you do.

Even in case of any difficult circumstances or even in pandemics, the company provides the flexible job positions and remote work opportunities.

Jobs positions include remote opportunities and working as a free lancer for people with experience in different domains such as computer and information technology, HR and recruiting, writing, finance and accounting, software development, and many more.

Skills Required for MongoDB Careers

The ideal candidates need to agree and align according to the core values mentioned above by the MongoDB organization. Along with this, they should also have the below qualities and skills, which are just generalized and can vary depending on the post you are applying for.

An experience of a minimum of 2 + years boosts up your chances to get hire.

A bachelor degree in that respective domain and additional work experience is preferred.

Strong communication skills and verbal skills.

Detail-oriented.

I have a good hand on the usage of google applications, video conferencing tools, Microsoft office.

Team player and be very creative and flexible.

The skill of handling sensitive and confidential material.

Having experience of traveling domestic as well as international destinations.

If required for the position, then be open for working for flexible hours.

Be open for any changes as per the received feedback, work in a proper direction, and make the rightful decisions.

Strong understanding of the basic concepts of that particular domain.

Interest and passion to try out new things and work for a particular task.

Job Positions

The positions available are in the domain of sales, engineering, administrative and general, marketing, product and design, customer engineering and for the college students to get their internship.

For a complete list of all the available positions for now in the MongoDB organization, you can refer to this link.

Along with this, there are also other companies who hire the persons who have the knowledge of working with MongoDB and managing the data using this database tool.

You will find many websites and job opportunities when you will go to chúng tôi chúng tôi and many other sites like this.

Salary

The salary for the employee varies depending on the position that he has applied for, roles and responsibilities that he is working for and the skill set that he/she possess.

However, when talking about the role of a database administrator for Mongo DB, the average salary range from $125049 to $130000, while for the top earners, approximately $170500 annually.

For more descriptions about the salaries and packages, you need to be clear about the job description and the position you are applying for.

One of the major other factors to be considered while talking about the salary is whether you want to work in MongoDB or any other company using the Mongo DB database in its applications.

Career Outlook

The market of databases is huge, massive and ever-evolving.

MongoDB is one of the most leading Non- relation Database Management systems out there which can support any application in storing and manipulating the data.

The community of MongoDB is changing the face of the industry and empowering the users of MongoDB, which are the developers, to create the applications which can prove very much beneficial for the end-users in there day-to-day life.

You, as an individual, will get the opportunity to impact the system after joining this company or any other company using MongoDB technology.

There are n number of job opportunities present in this technology; the only condition is to excel in your skillset and be ready for it.

Conclusion

MongoDB technology has an ever-increasing graph of proving to be a perfect platform for database storing and manipulation. As a result, there are ample numbers of job opportunities in this domain.

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This is a guide to MongoDB Careers. Here we discuss why do we make careers in MongoDB? Skills required, job position, salary & career outlook. You may also have a look at the following articles to learn more –

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