Apache Drill - Schema-free SQL for Hadoop, NoSQL and Cloud Storage
Agility Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Flexibility Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data Query any non-relational datastore (well, almost...) Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB,
AWS HowTo: Using Amazon Elastic MapReduce with DynamoDB (Guest Post) | Amazon Web Services
AWS News Blog AWS HowTo: Using Amazon Elastic MapReduce with DynamoDB (Guest Post) Today’s guest blogger is Adam Gray. Adam is a Product Manager on the Elastic MapReduce Team. — Jeff; Apache Hadoop and NoSQL databases are complementary technologies that together provide a powerful toolbox for managing, analyzing, and monetizing Big Data. Thats why we were so excited to provide out-of-the-box Amazo
Analyzing Apache Logs with Riak
This article will show you how to do some Apache log analysis using Riak and MapReduce. Specifically it will give an example of how to extract URLs from Apache logs stored in Riak (the map phase) and provide a count of how many times each URL was requested (the reduce phase). So what is Riak? According to Wikipedia it’s “a NoSQL database implementing the principles from Amazon’s Dynamo paper”. Or,
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ログ解析を支えるNoSQLの技術
