Hunk: Splunk Analytics for Hadoop （Hadoop的splunk數據分析）
Explore, Analyze and Visualize Data in Hadoop
Many organizations store vast amounts of data in Hadoop. Yet trying to get value and insights out of this data has proven a challenge. Traditional analytics tools aren't designed for the diversity and size of big data sets. Exporting data sets is a problem since they can be too large to move out of Hadoop to in-memory analytics stores. Apache Hive or SQL on Hadoop require brittle, fixed schemas and specialized skills. In short, gaining meaningful insight can often take months.
當前很多機構在Hadoop中儲存着大量的數據。人們嘗試從研究這些數據，獲取這些數據的值是很困難的挑戰。傳統分析工具無法處理如此大量多樣的數據集。這些數據太大以至於無法從內存分析庫中移出，輸出數據集一直是個問題。Apache的Hive或者Hadoop上的SQL要求易變且固定的模式和專業的技能。簡單來講，獲取有意義的數據分析需要花費幾個月的時間。
Hunk enables you to detect patterns and find anomalies across terabytes or petabytes of raw data in Hadoop without specialized skill sets, fixed schemas or months of development. Using Hunk, you can experience dramatic improvements in the speed and simplicity of getting insights from big data in Hadoop.
無需專業的技能，固定的模式和數月的開發，Hunk能夠檢測設計並可在Hadoop百萬兆字節的原始數據中發現異常。使用Hunk，可以在Hadoop的大數據分析中體會到速度和簡潔性的明顯提升。