Oracle Big Data Cloud Service - Compute
Edition combines open source
technologies to deliver a complete Big
Data platform for running and managing
Big Data analytics applications. The
welcome e-mail you received, has links to
resources to help you get the most out
of Oracle Big Data Cloud Service
Compute Edition as well as details about
accessing your account.
Provide your Identity Domain and proceed
to the login screen. Provide the user name
and password to sign in.
The Oracle Big Data Cloud Service
Compute Edition Services page is
displayed.
This page displays all the clusters on
Big Data Cloud Service Compute
Edition. To create a cluster, click the
Create Service button. Provide a unique
name to identify the service in your
Identity Domain and optionally provide a
description for the new cluster.
Configure your cluster by providing the
values in the Service Details page.
Provide the cluster configuration
parameters.
Specify the total number of nodes.
Specify three or more nodes to provide
high availability with multiple master
nodes. These nodes run as compute-only
nodes without HDFS. Any node in excess of
the first four nodes which are not
designated as compute-only slaves will
run as a compute and storage node.
The number of Oracle Compute Units (OPUs) and
the amount of memory (RAM) for each compute
node of the new cluster. Specify the
amount of HDFS storage you want to
allocate to the cluster. Big Data Cloud
Service - Compute Edition uses a replication
factor of 2 for HDFS. Hence, the usable HDFS
storage will roughly be half of the
total allocated storage. Specify how you
want to manage the queues and workload.
Preemption Off indicates that jobs can't
consume more resources than a specific
queue allows. This will lead to potentially
lower cluster utilization. Preemption On
indicates that jobs can consume more
resources than a queue allows. If Preemption
is On and if the cluster is unused, then
jobs from any queue can utilize hundred percent
of the cluster capacity. This will lead to
better cluster utilization. Next, provide
your credentials. Associate an SSH key to
this cluster.
The Create a New Key option allows you to
create and download a new Public Key
for this cluster.
Assign an Administrator user name for the
cluster.
Enter and re-enter a password for the
Administrator.
The Oracle Storage Cloud Service
container is where the job logs are
pushed upon completion.
You can specify an existing storage
container or create a new one. If you
have an existing container, enter the
credentials. Provide a name for the
Oracle Storage Cloud container. Provide
the user name and password. If you do not
have an already existing Cloud Storage
container, click Create Cloud Storage
Container. The last section of Service
Details page displays Associations.
Select the other Cloud services that you
want to associate with this cluster. On the
Confirmation page, review the parameters.
Once you're satisfied with the
information, you are ready to create a
cluster. Usually, the cluster creation
takes some time.
Once the cluster is created, the
status disappears. Navigate to the Big
Data Cluster Console. Enter your cluster
console credentials.
Here you can create and execute jobs
which reads input from HDFS, Oracle
Database or the Oracle Storage Cloud
Service, performs computation on the data
and provides output. You can also create
and execute notes within the Notebook.
Notes allows you to explore and
visualize the data in an interactive
fashion.
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visit us online at cloud.oracle.com