Oracle Big Data Appliances
The Oracle Big Data Appliance is a solution that includes both hardware and software. The hardware has been modified to run the new big data software components.
The Oracle Big Data Appliance offers the following functions:
- A complete and optimised big data solution.
- Hardware and software support from a single source.
- A simple-to-implement solution.
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Oracle Database and Oracle Exadata Database Machine are tightly integrated.
Oracle offers a big data platform that captures, organises, and supports deep analytics on massive, complex data streams from various sources.
Oracle Database allows a broad user community to access and analyse all data using the same methods. Oracle Big Data Appliance is a platform for obtaining and organising large amounts of data to evaluate the relevant portions with genuine business value in the Oracle Database.
Oracle Big Data Appliance can be connected to an Oracle Exadata Database Machine running Oracle Database for optimal performance and efficiency. The Oracle Exadata Database Machine is a high-performance data warehouse and transaction processing database host. Furthermore, for the optimal performance of business intelligence and planning applications, Oracle Exadata Database Machine can be coupled to Oracle Exalytics In-Memory Machine. Components use Infiniband to communicate between them.
The relationships between these engineered systems are depicted in the diagram below:
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One of the benefits of the approach mentioned above is that the systems are built to function together, and the time it takes to make a workable infrastructure solution is short. The systems are also designed to provide users with the best possible performance.
Software for Big Data Appliances
All other software components deployed on Oracle Big Data Appliance are based on the Oracle Linux operating system and Cloudera's Distribution, including Apache Hadoop (CDH).
The main characteristics of CDH are as follows:
- CDH is a set of interconnected components that have been thoroughly tested and packaged to work together.
- CDH has a batch processing infrastructure that allows users to store data and distribute work over multiple computers.
- The same machine that stores the data also processes it.
- CDH spreads files and workload among 18 servers in a single Oracle Big Data Appliance rack, forming a cluster. Each server in the cluster is a node.
The following are the main components of the software framework:
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File System: HDFS (Hadoop Distributed File System) is a highly scalable file system that allows vast files to be stored across numerous computers. It ensures reliability by replicating data across multiple servers.
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MapReduce Engine: The MapReduce engine is a platform for massively parallel execution of Java-based algorithms.
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Administrative Tool: Cloudera Manager, a complete organizational tool for CDH, provides the administrative framework. Oracle Enterprise Manager can also monitor both the hardware and software on the Oracle Big Data Appliance.
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Apache Projects: CDH comprises Apache MapReduce and HDFS projects, including Hive, Pig, Oozie, HBase, and Spark.
- Cloudera Applications: All Cloudera Enterprise Data Hub Edition products, including Impala, Search, and Navigator, are installed by the Oracle Big Data Appliance.
The following figure shows the Oracle Big Data Appliance Software Overview:
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Frequently Asked Questions
What exactly is an HBase table?
An HBase table is a multi-dimensional data map with one or more columns and rows. When you construct an HBase table, you specify the entire set of column families. A row (column family, column qualifier, column value) plus a timestamp make up an HBase cell.
What is big data clustering?
Clustering is a widely used unsupervised method and an essential tool in Big Data analysis. Clustering can be used as a pre-processing step to reduce data dimensionality before running a learning algorithm or as a statistical tool to find functional patterns in a dataset.
What does pig mean in the context of big data?
Pig is a high-level platform or tool used to process vast datasets. It provides the user with a high level of abstraction for MapReduce computation. It comes with a high-level scripting language called Pig Latin, used to write data analysis routines.
What are the various kinds of clusters?
Hierarchical and non-hierarchical clustering methods are the two forms of clustering.
What is Spark in the context of big data?
Apache Spark is a distributed processing solution for big data workloads that is open-source. Quick queries against any data size use in-memory caching and efficient query execution.
Conclusion
This blog extensively discussed the relationship between Big Data and Oracle. We discussed Oracle Big Data Services and the Features of oracle big data services. We also discussed Oracle Big data Appliances and Software for Appliances.
We hope this blog has helped you enhance your knowledge regarding Big Data and Oracle as a solution for big data. If you want to learn more, check out our articles on Text Analytics with Big Data, Big Data Analytics, and Handling of Big Data. You can learn more about Big Data, Big Data vs. Data Science, and Big Data Engineers.
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