Spark Development Services
Need a Spark coder for your idea? You clearly came to the proper firm. “Echo Ukraine” offers IT staffing services and project based development. We gladly help you to secure the appropriate employee or a team for remote cooperation. All our coders are accomplished professionals experienced in building custom-built products using the modern technologies, including SPARK, Concrete5, JavaFX, C++, Opencart, Meteor, OpenCV, Handlebars.js, C#, WebGL, Python. You can also select us as a Spark development partner and delegate full-cycle development services to us.
OUR ADVANTAGES :
- Top Ukrainian experts with over 5 years of industry experience.
- Personnel retention leading methods to make sure your developers stay happy.
- Committed account supervisors to ensure smooth cooperation.
- Transparent contract with predictable monthly billing.
We help you execute your ideas by providing reliable Spark developers who can get involved in your company and rapidly start delivering first-rate code. Reach out us and examine the CVs of candidates available for work today. Also, you can read “Spark Developer Salary in the US and UK compare to Ukraine” to reveal the true cost of hiring.
TOP5 Spark Programmers in February 2018
1 Andriy K.,Age: 23, E-mail: email@example.com,
Skills: MySQL, PostgreSQL, Spark
Contact Us to Get the Full CV (ID 556794)
2 Leonid K.,Age: 30, E-mail: firstname.lastname@example.org,
Skills: JS, JS (Angular 1.x), JS (jQuery), Spark
Contact Us to Get the Full CV (ID 556792)
3 Nikolay Z.,Age: 27, E-mail: email@example.com,
Skills: QA (automation), Java, SQL, Spark
Contact Us to Get the Full CV (ID 556789)
4 Igor D.,Age: 29, E-mail: firstname.lastname@example.org,
Skills: Java, MS (C#), C++, Matlab, Spark
Contact Us to Get the Full CV (ID 556782)
5 Yevhen K.,Age: 24, E-mail: email@example.com,
Skills: Java, SQL, NoSQL (Cassandra), Spark
Contact Us to Get the Full CV (ID 556777)
Questions and Answers related to Spark Development
“If you mean reliable in the sense of fault-tolerance, Spark is designed to support the loss of any set of worker nodes. It will rerun any tasks those nodes were executing, and recompute any data it had cached on them. Spark is also designed to work if the data does not fit in memory, in which case it can spill it to disk. If you mean reliable as in “will it crash on me”, any software has bugs…”
“Yes, Spark is a good solution. But Spark alone cannot replace Informatica, it needs the help of other Big Data Ecosystem tools such as Apache Sqoop, HDFS, Apache Kafka etc. One of the backdraws of Hadoop Eco system is that offers bad performance for interactive querying. So a database such as Cassandra has to be maintained with data needed for reports.”
“Apache Spark is growing very quickly and replacing MapReduce. Apache Spark is much-advance cluster computing engine than MapReduce. Spark can handle any type of requirements such as batch, interactive, iterative, streaming, graph while MapReduce limits to Batch processing…”
“Before we learn what are the disadvantages of Apache Spark, let us learn advantages of Apache Spark. In Spark Streaming, the arriving live stream of data is divided into batches of pre-defined interval, and each batch of data is treated like Spark Resilient Distributed Database (RDDs). Then these RDDs are processed using the operations like map, reduce, join etc. The result of these operations is returned in batches. Thus, it is not real time processing but Spark is near real time processing of live data…”
Consider asking some of these questions during a job interview to assess candidate’s skills.