faq
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Many Fortune 500 and mid-size enterprises are funding Hadoop test/dev projects for Big Data analytics, but question how to integrate Hadoop into their standard enterprise architecture. For example, Joe Cunningham, head of technology strategy and innovation at credit card giant Visa, told the audience at last year’s Hadoop World that he would like to see Hadoop evolve from an alpha/beta environment into mainstream use for transaction analysis, but has concerns about integration and operations management. What’s been missing for Big Data analytics has been a LAMP (Linux, Apache HTTP Server, MySQL and PHP) equivalent. Fortunately, there’s an emerging LAMP-like stack for Big Data aggregation, processing and analytics that includes:
Meet Big Data equivalent of the LAMP Stack
FAQ - Hadoop Wiki
If I add new DataNodes to the cluster will HDFS move the blocks to the newly added nodes in order to balance disk space utilization between the nodes? Hadoop is a distributed computing platform written in Java. It incorporates features similar to those of the Google File System and of MapReduce . For some details, see HadoopMapReduce .
Considerations for Hadoop and BI (part 2 of 2) « Cloudera » Apache Hadoop for the Enterprise
Just today we heard another question about integrating Hadoop with Business Intelligence tools. This is one of the most common questions we receive from enterprises adopting or evaluating Hadoop. In the early stages of their projects, customers are generally not sure how to connect their BI tools to Hadoop, and when it makes sense to do so. As I wrote in BI Considerations and Hadoop Part 1 , Cloudera encourages you to use your existing infrastructure wherever possible, and this includes your investments in Business Intelligence.