How will ResourceQueue help my company hire the best Apache Hadoop developers than a Headhunter firm?

At ResourceQueue, quality assurance and accountability are our major USPs. We personally onboard organizations and their associated employees after a thorough verification process. We also blacklist the GSTIN’s of fraudulent and cheat companies and maintain a separate directory of the same. This process ensures that we introduce you to the most reliable and credible IT companies that outsource their developers to work in diverse organizations.

What are the benefits of using Apache Hadoop for Mobile App Development?

Apache Hadoop is beneficial for mobile app development because of its faster coding time and cost-effectiveness. It is a well-structured, open-source framework from Google that comes with Unicode and several other facilities.

How to find the best company in India that offers full-stack Apache Hadoop developers?

If you want to hire full-stack Apache Hadoop developers in India, then look for a company with the following features: 1. Team with cumulative experience of 10+ years in the development industry. 2. Have developed at least 20+ apps. 3. Transparent selection process

Can you manage the Apache Hadoop developers we hire?

Being a B2B resource sharing platform, we help companies list their resources to get hired by different IT & ITES companies. Once you upload your Apache Hadoop developers’ details, we will manage them and look after their hiring process.

What’s the use of Apache Hadoop in Mobile App Development?

Apache Hadoop is a framework created by Google to develop cross-platform mobile applications that run on different platforms like iOS, Android, and many more. It can also be used to create applications for Google Fuchsia.

Why should I hire a dedicated developer from another company?

At ResourceQueue, you get to hire dedicated and skilled developers instantly to work on your projects. Contrarily, if you try to search for a Apache Hadoop developer, you will spend at least 2-3 weeks finding the right candidate. Besides, it will be difficult to retain the developer after the project ends. Hence, it becomes helpful to hire a dedicated developer from another company only when the need arises. Furthermore, you get the following benefits: 1. Opportunity to leverage the developer’s expertise. 2. Hire monthly or on a project basis. 3. Quality work with minimum or no risk.

How can I manage the performance of my remote developer?

You can easily plan and manage the performance of your remote developer by setting daily sprint calls or through Kanban or waterfall framework. Besides that, you are free to use any project management tools to manage their work, take the updates, collaborate with the team and maintain their attendance. For feedback and other information, you can even set up team meetings and discuss the project.

Can your Hadoop developers collaborate with our internal staff?

Our skilled and talented Hadoop developers have great communication and collaboration skills that can help them easily collaborate with your internal team members. They can maintain effective communication and teamwork and ensure the success of the projects.

How do I set up interviews with shortlisted developers?

To set up the interviews with the shortlisted candidates, you can visit the client panel and set up the video interviews by choosing the desired date and time. The developers will be ready with all the information and documentation at the correct time.

Hire Dedicated Apache Hadoop Developers

Are you looking to hire remote Hadoop developers to help you with your big data projects? ResourceQueue connects you with top-tier skilled and experienced Hadoop developers to help you achieve data-driven success faster.

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Simplify Your Search for Hadoop Developers with ResourceQueue

If you're in search of skilled Hadoop developers to elevate your big data projects, look no further than ResourceQueue. We connect you with a talented and experienced pool of Hadoop developers who possess proven expertise in the field. By hiring dedicated Hadoop developers, you can easily upscale your project and ensure efficient outcomes. We have strong connections with top-tier IT consultancies and tech companies, ensuring that you find the perfect fit for your project needs and budget. Let us help you take your big data endeavors to new heights.

Diverse Skillset

Our skilled Hadoop developers have a rich tapestry of skills and talent to provide the best quality results. They are well-versed in every aspect of Hadoop frameworks, ecosystems, components and technologies.

Quality Assurance

We perform rigorous testing to ensure developers develop robust and scalable solutions and provide high-quality results. Their commitment to excellence enables them to maximize your project's efficiency and performance.

Scalability

We provide the option of scaling up or down the number of dedicated Hadoop developers according to your project requirements. You can easily hire as many developers as you want for your work.

Expertise Offered by Apache Hadoop Developers

Knowledge of Programming Languages

Our skilled Hadoop developers have extensive knowledge of essential programming languages like Java, OOAD, JavaScript, Python, C++ and Node.js. This helps them write reliable and manageable code for Hadoop applications.

Experience in HQL

We provide skilled and experienced Hadoop developers who have extensive experience in HQL (Hibernate Query Language). They can easily use it to query and process data stored in hive tables and perform data definition (DDL) and data manipulation (DML) operations.

Ability to Integrate Seamlessly

Our Hadoop professionals integrate big data solutions into your existing infrastructure and successfully connect Hadoop with other systems and tools without causing disturbance to your business processes.

Knowledge of SQL

Our talented Hadoop developers have a good working knowledge of SQL, database structures, theories, principles, and practices. It helps Hadoop developers work with technologies such as Hive and Impala and enrich the big data environment.

Grasp of Big Data Concepts

Our skilled Hadoop developers have a good understanding of big data concepts such as batch and real-time processing, data storage, volume, velocity, variety and distributed computing. This helps them design and develop effective big-data solutions.

Data Ingestion and Data Warehousing

Our Hadoop developers can easily collect data from different sources using Flume, scoop, etc. and ingest it into Hadoop. They have complete knowledge of data warehousing and can effectively store a large amount of unstructured data.

How to Hire Talent From ResourceQueue?

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ResourceQueue simplifies the process of hiring dedicated developers to pave the way for the seamless execution of your projects. Your business can directly tap into reputed IT firms and avail skilled resources who comprehend your project's goals and objectives.

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Register with us and start searching for developers with skills that best suit your project needs. Find all types of resources, ranging from skilled front-end developers to adept back-end developers across all stacks.

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Discover the perfect talent by browsing our extensively verified database of high-end vetted developers. Watch out for the years of experiences, skill-set and projects completed to identify the right candidate for your project.

Select

Schedule interviews with selected developers to ensure you are hiring the most compatible resources for your project. Or, shortlist and add them to your list of preferred candidates for later.

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Congratulations! You can now recruit candidates who meet your requirements by acing the interviews and tests. Your efforts have finally paid off, and we can't wait to witness what your team accomplishes next!

Advantages of Using Hadoop for your Projects

Hadoop is an open-source framework used to store and process big data and drive meaningful insights from it. It is the backbone of big data analytics that assists businesses in realizing the full value of their data and gain a competitive edge over others. It offers several benefits to the company while processing big data projects.

Scalable

Hadoop is extremely scalable in terms of both data storage and processing. It allows developers to add the new nodes to increase the size of the cluster without any downtime. This helps businesses to accommodate expanding data volume and its processing needs.

Fault Tolerant

Hadoop 3.0 is fault tolerant. HDFS makes two additional copies of each data block and stores them in separate locations throughout the cluster. Therefore, if any block goes missing due to any mistake or technical problem, you still have two more copies.

High Throughput

Throughput is the amount of work completed in a given length of time. Hadoop stores data in a distributed manner and handles enormous datasets by distributing work across a cluster of devices which ensures high throughput.

Manage Diverse Data

The Hadoop ecosystem can store a wide range of data formats that can fit into any schema as it is not validated against any particular schema. This advantage allows developers to perform data analysis in different ways and derive valuable insights.

Support Big data Technologies

Hadoop has a rich tapestry of tools and frameworks that can be seamlessly integrated into Hadoop projects and can be used to perform data processing and other analytical tasks. This includes Apache-spark, hive, pig, HBase, Flink, and more.

Open Source

Hadoop is open source, which means that its code is freely available and can be modified as per your business requirements. This ensures that the power of big data can be harnessed without being locked into proprietary solutions.

Guide to Hire Apache Hadoop Developers

Hiring the right developer is important for completing the Hadoop projects with efficiency and effectiveness. To ensure that, hire Hadoop developer with great abilities and vast expertise in the development and management of Hadoop projects. However, finding such Hadoop developers who can carry out your projects with maximum efficiency and ensure the best results is challenging. To help you with this, we have designed an easy guide to inform you on the skills required in a Hadoop developer to maximize ROI in big data development and maximize its performance.

Knowledge of Hadoop Components and its Ecosystem
Familiarity with Linux Operating System
Proficiency in writing Manageable and High-performance Codes
Analytical and Problem-Solving Skills

Knowledge of Hadoop Components and its Ecosystem

The basic requirement for Hadoop developers is a strong understanding and complete knowledge of Hadoop components and ecosystems. Hire Hadoop experts who can efficiently work with its ecosystem tools like MapReduce, HyperText Markup Language, YARN, HBase, Pig, Hive, Sqoop and Flume. Knowledge of such tools is essential to manage massive data sets efficiently and effectively. Besides that, ensure that the developers are aware of the basic Hadoop components like Hadoop Distributed File System (HDFS), Hadoop Yet Another Resource Negotiator (YARN), Hadoop MapReduce, and Hadoop Common. The core components knowledge allows Hadoop developers to distribute storage, process data, and manage resources in Hadoop.

Familiarity with Linux Operating System

Hadoop is supported by the Linux operating system and the Ubuntu Linux server distribution. Knowledge of the Linux operating system is highly important for Hadoop developers to work in the Hadoop ecosystem. Hire remote Apache Hadoop developers who have in-depth knowledge of Linux command-line interface, cluster administration, shell scripting, package management, system monitoring, etc. Having knowledge of Linux allows Hadoop developers to swiftly diagnose and handle problems, resulting in little downtime. Such Linux skills allow developers to maximize the performance of Hadoop projects and the stability of their big data infrastructure.

Proficiency in writing Manageable and High-performance Codes

Hadoop projects require high-level coding to work with big data technologies and develop solutions. Hire Hadoop developers who can write efficient, reliable, and maintainable code to ensure Hadoop-based applications' scalability, dependability, and long-term sustainability. Check if the developers have an understanding of Hadoop best practices like data storage, resource management, etc. or not. Hire Apache Hadoop developers who can break down code into modular components and enhance its maintainability. Ensure the developers you hire adhere to the coding standards and guidelines while making code maintainable, readable and error-free.

Analytical and Problem-Solving Skills

Analytical and Problem-Solving Skills are crucial for Hadoop developers to optimize performance and maintain accuracy. Hire a Hadoop developer who understands data, explores large datasets effectively, identifies trends, patterns, and structures, and derives meaningful insights from the data. Ensure that they can identify and address the data-related problems and troubleshoot them with effective and practical solutions. They should be able to analyze the root cause, identify the issue and make informed decisions to overcome such problems effectively.

Apache Hadoop Interview Question

Here are a couple of interview questions that you can use while evaluating your Apache Hadoop Developer candidate

Cloudera, MAPR, Amazon EMR, Microsoft Azure, Google Cloud Dataproc, IBM InfoSphere, HDP, and Hortonworks (Cloudera) are the several vendor-specific Hadoop distributions.
Hadoop is a big data tool that stores and processes big databases and derives meaningful insights from them. The main components of Hadoop are:
- Hadoop YARN - resource management unit
- Hadoop Distributed File System (HDFS) - storage unit
- Hadoop MapReduce - processing unit.
Volume, Velocity, Variety, Veracity and Value are the Five V's or the characteristics of big data.
In a conventional file system, the data is maintained in a single system and has low fault tolerance, whereas in HDFS, data is maintained on multiple systems called nodes, and in case of a data crash, it can easily be restored from other nodes of the cluster.
It is performed to optimize the performance and scalability of the clusters and ensure resource optimization. Moreover, to enhance fault tolerance, optimize costs, and handle increased workload, we add the nodes.

JPS command helps us to check the Hadoop daemons and services like name node, resource manager, etc. and ensure it is working. It checks whether these daemons are running or not.
- Fault Tolerance
- High Reliability
- Scalability
- Data Replication
- Distributed Storage
- Data Locality
- Easy to Use
Shuffling is the process of transferring data from mappers to the key reducers, which ultimately sorts the unstructured data and passes the map result to the reducer.
Local Mode or Standalone Mode
Pseudo-distributed Model
Fully Distributed Mode
Zookeeper is a distributed coordinator used in Hadoop to manage cluster node setup and synchronization. It communicates through sessions, coordinate activities, and serves as a centralized service for dispersed applications.

Cloudera, MAPR, Amazon EMR, Microsoft Azure, Google Cloud Dataproc, IBM InfoSphere, HDP, and Hortonworks (Cloudera) are the several vendor-specific Hadoop distributions.
Hadoop is a big data tool that stores and processes big databases and derives meaningful insights from them. The main components of Hadoop are:
- Hadoop YARN - resource management unit
- Hadoop Distributed File System (HDFS) - storage unit
- Hadoop MapReduce - processing unit.
Volume, Velocity, Variety, Veracity and Value are the Five V's or the characteristics of big data.
In a conventional file system, the data is maintained in a single system and has low fault tolerance, whereas in HDFS, data is maintained on multiple systems called nodes, and in case of a data crash, it can easily be restored from other nodes of the cluster.
It is performed to optimize the performance and scalability of the clusters and ensure resource optimization. Moreover, to enhance fault tolerance, optimize costs, and handle increased workload, we add the nodes.
JPS command helps us to check the Hadoop daemons and services like name node, resource manager, etc. and ensure it is working. It checks whether these daemons are running or not.
- Fault Tolerance
- High Reliability
- Scalability
- Data Replication
- Distributed Storage
- Data Locality
- Easy to Use
Shuffling is the process of transferring data from mappers to the key reducers, which ultimately sorts the unstructured data and passes the map result to the reducer.
Local Mode or Standalone Mode
Pseudo-distributed Model
Fully Distributed Mode
Zookeeper is a distributed coordinator used in Hadoop to manage cluster node setup and synchronization. It communicates through sessions, coordinate activities, and serves as a centralized service for dispersed applications.

Frequently asked question

How will ResourceQueue help my company hire the best Apache Hadoop developers than a Headhunter firm?
At ResourceQueue, quality assurance and accountability are our major USPs. We personally onboard organizations and their associated employees after a thorough verification process. We also blacklist the GSTIN’s of fraudulent and cheat companies and maintain a separate directory of the same. This process ensures that we introduce you to the most reliable and credible IT companies that outsource their developers to work in diverse organizations.
What are the benefits of using Apache Hadoop for Mobile App Development?
Apache Hadoop is beneficial for mobile app development because of its faster coding time and cost-effectiveness. It is a well-structured, open-source framework from Google that comes with Unicode and several other facilities.
How to find the best company in India that offers full-stack Apache Hadoop developers?
If you want to hire full-stack Apache Hadoop developers in India, then look for a company with the following features: 1. Team with cumulative experience of 10+ years in the development industry. 2. Have developed at least 20+ apps. 3. Transparent selection process
Can you manage the Apache Hadoop developers we hire?
Being a B2B resource sharing platform, we help companies list their resources to get hired by different IT & ITES companies. Once you upload your Apache Hadoop developers’ details, we will manage them and look after their hiring process.
What’s the use of Apache Hadoop in Mobile App Development?
Apache Hadoop is a framework created by Google to develop cross-platform mobile applications that run on different platforms like iOS, Android, and many more. It can also be used to create applications for Google Fuchsia.
Why should I hire a dedicated developer from another company?
At ResourceQueue, you get to hire dedicated and skilled developers instantly to work on your projects. Contrarily, if you try to search for a Apache Hadoop developer, you will spend at least 2-3 weeks finding the right candidate. Besides, it will be difficult to retain the developer after the project ends. Hence, it becomes helpful to hire a dedicated developer from another company only when the need arises. Furthermore, you get the following benefits: 1. Opportunity to leverage the developer’s expertise. 2. Hire monthly or on a project basis. 3. Quality work with minimum or no risk.
How can I manage the performance of my remote developer?
You can easily plan and manage the performance of your remote developer by setting daily sprint calls or through Kanban or waterfall framework. Besides that, you are free to use any project management tools to manage their work, take the updates, collaborate with the team and maintain their attendance. For feedback and other information, you can even set up team meetings and discuss the project.
Can your Hadoop developers collaborate with our internal staff?
Our skilled and talented Hadoop developers have great communication and collaboration skills that can help them easily collaborate with your internal team members. They can maintain effective communication and teamwork and ensure the success of the projects.
How do I set up interviews with shortlisted developers?
To set up the interviews with the shortlisted candidates, you can visit the client panel and set up the video interviews by choosing the desired date and time. The developers will be ready with all the information and documentation at the correct time.

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