Hortonworks Data Platform Implementation Team
We have our own team that is capable of handling deployments. We did not need to have an integrator or consultant come in.
View full review »We implement the product in-house.
View full review »Our cluster has been implemented in-house. We have automated the entire installation of Hadoop, set-up and configuration included.
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Hadoop
April 2024
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SenioITh677
Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees
We had IBM set up both of our installations.
View full review »We used an in-house team. My advice is to study hard and read all the documentation thoroughly before starting any implementation. It is paramount that one understands the system before implementing it.
View full review »I work for a vendor team.
View full review »I was involved in multiple projects. Usually, it was done in-house with paid support.
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Saravanan Ramaraj
Solution Architect at MIMOS Berhad
We did it in-house.
View full review »An in-house team implemented it: two admins, seven developers, one data scientist, one PM and 22 business users at the customer (end-user side).
View full review »We did it in-house.
View full review »We used an in-house team. Take your time and utilize the free resources provided by Hortonworks.
View full review »My colleagues and I are the implementation team. The general advice is to start out with a small enough scope. Try to get an MVP up and running before bringing out the big guns./
View full review »The implementation was at the clients datacenter. My advice is to perform a POC on premise or via a virtual machine to learn how to use it and how to tune the configuration of each Hadoop component.
When implementing it in production, firstly you need to have a clear view of the requirements you need to perform the install. For example, if you are using a local repository to install the software, it has to be updated with Hortonworks sources, especially if there are security rules (firewall access, root access limitation, etc.).
My last piece of advice is that if you have a heavy load, it is really important to implement the solution on premise, not in a virtualized environment. If you do both, you will see the difference in performance.
View full review »We implemented it with our in-house team.
View full review »We have an in-house team to do implementations. I would advise that all implementations get seen through all the way to having users smoke test applications to ensure correct functionality.
View full review »It was done in-house.
View full review »Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Cloudera, IBM, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
768,246 professionals have used our research since 2012.