Breadcrumb

Learn about Oracle Big Data, Data Science, Learning Analytics, Oracle NoSQL Database, and more!

In this video, you learn how to:

• Explain YARN at a high level and identify its benefits
• Identify YARN daemons and architecture
• Identify some YARN useful resources
• Understand the YARN Resources (vcores and memory) and Containers
• Identify job scheduling and resource management in YARN
• Identify the YARN Fair Scheduler
• Configure YARN Scheduler Pluggable Policies
• Queues
• Monitor jobs with the Resource Manager Web UI
• YARN application command
• YARN resources

In this video, you learn how to:

• Identify the benefits of MapReduce processing framework
• Identify the components of a MapReduce job
• Interact with MapReduce
• Submit a MapReduce Job
• Monitor MapReduce jobs with the ResourceManager Web UI
• Monitor MapReduce jobs with the JobHistory Server Web UI

Learn how to interact with the Hadoop Distributed File System (HDFS)

Learn about Hadoop and the Hadoop ecosystem.

Learn about the Hadoop Distributed File System (HDFS)

Learn how to use Oracle's Big Data Lite virtual machine.

• See how Oracle's Big Data solution offers you an effective and economical management of vast amounts of data that will allow your organization to analyze and support more fact based decision making.
• Discover new facts and ideas and set these into the business process. 
• Understand high level Big Data concepts and the key technologies that support it.
• See how the capabilities are deployed in Oracle PaaS Cloud.

And, if you require a cloud infrastructure within your own data center - this same solution can be delivered using Oracle Cloud at Customer.

In this video, you will learn about

• Oracle Big Data SQL security
• Oracle Big Data SQL multi-user authorization

Learn how to: 

•    Install and use the Oracle Big Data Lite (BDLite) Virtual Machine (VM)
•    Identify Apache Hadoop and its ecosystem 
•    Identify some of the available resources on Oracle Big Data SQL Help Center, Oracle Learning Library (OLL), and Oracle University

Learn how to

• Describe how ILM can now be extended to use Hadoop to store raw and archived data
• Use one of the following resources in Oracle Big Data SQL to off-load Oracle Database tables to the HDFS file system on a Hadoop cluster:
  • Move Oracle Tablespace(s) to HDFS
  • Use Copy To Hadoop utility to copy Oracle data to HDFS
• Identify a list of additional Oracle Big Data SQL recourses

Learn how to: 

• Review the Oracle Big Data SQL performance features
• Identify Oracle Big Data SQL key performance features:
  • Hive Partition Pruning
  • Storage indexes
  • Smart Scan
  • Bloom filtering
  • Predicate and column projection pushdown
• Identify where Oracle Big Data SQL fits in the Hadoop architecture layers
• Use Oracle Big Data SQL to query data in Hadoop
• List the Oracle Big Data SQL query processing Describe and Fetch steps 
• Use Oracle Parquet driver
• Use the performance features demo
   

Learn how to: 

•    Recognize the Apache Hadoop and Oracle Big Data SQL architectures
•    Store data in HDFS
•    Organize and describe data in Hive
•    Deploy Oracle Big Data SQL using the two components:
o    The enhanced “Big Data Enabled” Oracle Database 12c external tables 
o    The Oracle Big Data SQL Servers (services) on the Oracle Big Data Appliance or DIY Hadoop Clusters (data local processing)
•    Create Oracle external tables over data in HDFS and Hive using the following access drivers:
o    ORACLE_HDFS
o    ORACLE_HIVE
•    Identify a list of additional Oracle Big Data SQL and Oracle SQL Developer and Data Modeler recourses

Gain insight into how Big Data works. Learn the step for implementing a big data project.

This 15-minute tutorial shows you how to build the JNI-based C interface to Oracle NoSQL Database from source.