![]() All that is needed is 12GB of free Hard Disk, 3-4 GB RAM and a Laptop/Desktop with a decent processor and we are ready to jump into the Big Data world. ![]() VirtualBox is available on Windows/Mac/Linux/Solaris, so the Bit Data VM can run on any of these Operating Systems. The steps involved to get started with the VM are to download/install VirtualBox and then configure the Big Data VM in it. Check this screencast on how easy it is use the Big Data VM (play in VLC player). To overcome some of these limitations a Big Data VM has been created for those who are novice to Linux and the Big Data frameworks. Also, all the services are started during startup which makes the whole VM slow on some of the machines. Like not all frameworks are installed in the Cloudera's CDH (not sure why?), there is no option for automatically installing Cassandra or Pig and have to be installed manually. HashiCorp Terraform Oracle VM VirtualBox VMware Fusion VMware Horizon NetApp Virtual. Using these VMs make simple to get started with Big Data, but there are some challenges using them. A comprehensive list of competitors and best alternatives to Vagrant. ![]() MapR, Cloudera and others also had similar VMs from some time. Make sure that you have met the minimum requirements of the. HortonWorks recently announced a VM to get started easily with Hadoop and related frameworks. The Oracle virtual machine can be downloaded by accessing the link below. ![]()
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