Frequently Asked Questions.
Here are some common questions about YAVA.

What is YAVA Data Management Platform ?

YAVA (Yet Another Vanilla Apache) Hadoop or commonly called Yava is the distribution of Hadoop for big data management with Hadoop cluster management and monitoring. YAVA is one of the Hadoop distros (domestically) developed by our experts and supported by Labs247.

How Hadoop works ?

Hadoop runs their code on a set of computers and clusters.
The following are the processes that hadoop do :

  • Dividing data into directories and files.
  • Splits files into 128M and 64M size blocks (preferably 128m).
  • Distributing files to different cluster nodes for further processing.
  • HDFS (Hadoop File System), which is located above the local file system will oversee the processing.
  • Replicate blocks to handle hardware failures.
  • Check whether code is executed successfully.
  • Sending the sorted data to a particular computer.
  • Writing debug logs for each job.
What are the benefits of using Hadoop ?
  • Hadoop-framework allows users to test distributed systems quickly. This framework is efficient, and automatically distributes the data and work across the machine, and in turn using underlying CPU-cores parallelism.
  • Hadoop’s Library has been designed to detect and handle failures in the application layer so that Hadoop does not rely on hardware to provide fault tolerance and also does not require high hardware specifications.
  • Hadoop is able to operate continuously without interruption even if the cluster is dynamically added or deleted.
  • Hadoop is an open source platform, which is perfect for all platforms because it is Java based
What Operating System does YAVA support?

Enterprise Redhat 7 family, RHEL7, Centos 7, Igos server2, Ugos 7

Is YAVA can be installed in Ubuntu?

No, because the YAVA installation process uses rpm based system, so it has not been able to support apt-get.

Is YAVA can be installed in a single machine ?

yes, but the user/installer should disable HA functionality first.

Does YAVA need high specification computers?

No, because YAVA is a hadoop cluster, and hadoop is designed for commudity hardware that does not require a computer with high specification.

Can YAVA be downloaded for free?

Yes, because YAVA is an Open Source application that uses the power of the Apache Hadoop ecosystem and is designed to accelerate adoption of Hadoop and its ecosystem in Indonesia.

Are there Support Enterprises that available for YAVA ?

Yes, there are affordable supports that available for YAVA

Are there any provided training or certification exam for YAVA ?

Yes there are, and the training schedule can be coordinated with Solusi247

What is the platform environment that makes hadoop feel just like at home?

Hadoop is supported by GNU / Linux platform. Therefore, the user/installer have to install Linux operating system to prepare the Hadoop environment. If the user/installer have an OS other than Linux, then they should install VirtualBox software and have Linux in their VirtualBox.

What are the minimal system requirements for running YAVA?

Operating System

  • Red Hat Enterprise Linux (RHEL) v7.x
  • CentOS v7.x


Firefox 18 and Google Chrome 26.


  • yum
  • rpm
  • scp
  • curl
  • unzip
  • wget
  • OpenSSL (v1.01, build 16 or later)
  • python (version 2.6 or version 2.7)


JDK 8, Such as Oracle JDK 1.8 64 bit (minimum JDK 1.8_0) and OpenJDK 8 64-bit.


  • PostgreSQL 8 and 9.x (9.1.13+, 9.3)
  • Mysql 5.6 or Mariadb version 5.5.x
What are the new features that can be found in YAVA 2.2?


Kibana is an open source data visualization plugin for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data


Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.


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