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For the technical managers: An open source suite of software that mines the structured and unstructured BigData about your company. Use the data instead of throwing most of it away. For the executives: Hadoop is an Apache open source software project to get value from the incredible volume/velocity/variety of data about your organization. What is Hadoop?įollowing are several definitions of Hadoop, each one targeting a different audience within the enterprise: The term disruptive technology is heavily overused, but in this case may be appropriate. IBM has recently announced it is porting it’s big data platform to run on CDH. This is available as a VMWare image from the Cloudera web site. One of the points of confusion is, “Where do I get software to work on Big Data?” The examples in this article are based on the free Cloudera distribution of Hadoop called CDH (for Cloudera distribution including Hadoop). Hadoop’s programming model doesn’t solve all problems, but it is a strong solution for many tasks. Hadoop has genuine scalability since the latest release is expanding the limit on the number of nodes to beyond 4,000.įull access to unstructured data: A highly scalable data store with a good parallel programming model, MapReduce, has been a challenge for the industry for some time. Linear Scalability: Every parallel technology makes claims about scale up. If the existing technology can be so dramatically trounced, it is worth examining if Hadoop can complement or replace aspects of your current architecture. Price performance: The Hadoop big data technology provides significant cost savings (think a factor of approximately 10) with significant performance improvements (again, think factor of 10). Bringing compute and storage together on commodity hardware: The result is blazing speed at low cost. There are many factors contributing to the hype around Big Data, including the following. The Hadoop technology brings new and more accessible programming techniques for working on massive data stores with both structured and unstructured data. Via extensibility they also manage unstructured data. 
Traditional relational databases, like Informix and DB2, provide proven solutions for structured data. As of the year 2012, clusters that are big are in the 100 Petabyte range.īig Data can be both structured and unstructured. The examples in this article use small samples to illustrate the capabilities of the technology. Using Big Data technology is not restricted to large volumes. There is so much hype in this space that there could be an extended debate just about the definition of big data. These factors make Big Data difficult to capture, mine, and manage using traditional methods. If you are doing the exercises without network connectivity, use the MySQL examples.įor everyone else, read on… What is Big Data?īig Data is large in quantity, is captured at a rapid rate, and is structured or unstructured, or some combination of the above.
There is a MySQL instance built into the VMWare image. Jump to the section that contains the code samples. #Cloud native java cat source code example download#
Download the VMWare image from the Cloudera Website and increase the virtual machine RAM setting to 1.5 GB. For the super impatient, if you can already define Hadoop and want to get right to working on the code samples, then do the following. How can I get started with Big Data? What are some easy examples that run on a single PC?. How does Hadoop relate to IBM DB2 and Informix? Can these technologies play together?. What is Big Data, Hadoop, Sqoop, Hive, and Pig, and why is there so much excitement in this space?. Specifically let’s focus on the following questions. #Cloud native java cat source code example series#
This article provides a working definition of Big Data and then works through a series of examples so you can have a first-hand understanding of some of the capabilities of Hadoop, the leading open source technology in the Big Data domain. There is a lot of excitement about Big Data and a lot of confusion to go with it. The content is provided “as is.” Given the rapid evolution of technology, some content, steps, or illustrations may have changed.
#Cloud native java cat source code example archive#
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