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22-The Apache big-data technologies

22-The Apache big-data technologies

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Some files have immense key-value tables or other forms of structured data, but way too much to load into memory (like log files from entire data centers). How would you process those on Hadoop? It turns out that they have some answers. First we will look at Hive and PIG, which are more tools for file access, but a bit fancier than HBase. Then we will switch topics a bit, and discuss Kafka. You might think that files and messaging are totally different ideas, but a long history of work on "message oriented middleware" has yielded some very popular systems that merge the two concepts: in these, you can generate objects that are not just stored, but also "notified" in the sense that applications can monitor files or "topics" for updates.
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