Hadoop Development Services
Looking for a Hadoop developer for your idea? You definitely came to the relevant place. “Echo Ukraine” offers IT staffing services and project based programming. We gladly help you to find the appropriate worker or a team for remote work. All our programmers are accomplished specialists proficient in creating tailored apps using the new trends, including HADOOP, Ruby on Rails, Unity, Scala, Cassandra, Cherrypy, Sharepoint, SSIS, PHP, Coffeescript, Golang. You can also hire us as a Hadoop development vendor and delegate full-cycle development services to us.
OUR ADVANTAGES :
- Greatest Ukrainian developers with more than 5 years of business experience.
- Staff retention leading practices to make sure your programmers stay satisfied.
- Professional client managers to assure smooth collaboration.
- Transparent model with predictable monthly billing.
We help you accelerate your ideas by providing trusted Hadoop coders who can join your forces and rapidly start delivering five-star service. Get in touch with us and check out the resumes of software engineers available for employment at the moment. Also, you can read “Hadoop Developer Salary in the US and UK compare to Ukraine” to reveal the true cost of hiring.
TOP5 Hadoop Programmers in February 2018
1 Illia D.,Age: 28, E-mail: firstname.lastname@example.org,
Skills: Python, Java, C, C++, Golang, Java (EE), Hadoop
Contact Us to Get the Full CV (ID 567356)
2 Taras V.,Age: 25, Skills: Android, SQL, MySQL, Java (EE), Hadoop
Contact Us to Get the Full CV (ID 568577)
3 Mykola K.,Age: 28, E-mail: email@example.com,
Skills: Python, Scrum Master, Python (Django), MySQL, PostgreSQL, Hadoop
Contact Us to Get the Full CV (ID 567671)
4 Oleksandr P.,Age: 27, Skills: Python, Scala, SQL, MySQL, Hadoop
Contact Us to Get the Full CV (ID 567382)
5 Bogdan F.,Age: 28, E-mail: firstname.lastname@example.org,
Skills: Java, SQL, Hadoop, TensorFlow
Contact Us to Get the Full CV (ID 556529)
Questions and Answers related to Hadoop Development
“Hadoop is a very clever method for distributed computing and storage. For a long-time, people stored information on servers in big databases. And this mainly worked for the types and amount of data that people had. Basically, if you’ve some row- or column-based data, this works for you really well. However, in the last few years, certain companies wanted more data. For example (and this is a simplified example), imagine a small Amazon; early on in their life, the only thing they are storing is user information and purchase / order history…”
“The most common way to link R and Hadoop is to use HDFS (potentially managed by Hive or HBase) as the long-term store for all data, and use MapReduce jobs (potentially submitted from Hive, Pig, or Oozie) to encode, enrich, and sample data sets from HDFS into R. Data analysts can then perform complex modeling exercises on a subset of prepared data in R. Itamar Rosenn has spoken about Facebook’s use of this workflow…”
“First understand Big Data and challenges associated with Big Data. So, that you can understand how Hadoop emerged as a solution to those Big Data problems. This What is Hadoop and Hadoop Tutorial blog will introduce you to that. Then you should understand how Hadoop architecture works in respect of HDFS, YARN & MapReduce.”
“For Big data Technology, Apache Hadoop turned as very Powerful tool. It is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters. However, There are some drawbacks with Apache Hadoop. We will discuss all but before that lets discuss, a brief introduction of Apache Hadoop…”
Consider asking some of these questions during a job interview to assess candidate’s skills.