Many Firms Struggle to Access Data Quickly and Efficiently

Despite all the attention focused on data management, many firms find it difficult to access data from different parts of the organization in a quick and efficient manner. Information Management spoke with Josh Klahr, vice president of product management at AtScale, at the recent Strata & Hadoop World conference, about the implications. Information Management: What are the most common themes you hear among participants?Josh Klahr: As expected, there was a lot of talk about Hadoop and Spark. Our research (http://www.atscale.com/press/industrys-largest-hadoop-maturity-survey-reveals-adoption-rapidly-accelerating-and-best-practices-for-achieving-value-emerging/) shows Hadoop dominates even as interest in Spark grows.Spark is generally being used for a broad set of use cases, including pipelined data processing and parallel-izable data science workloads, while Hadoop continues to shine for high volume data collection, storage, and batch processing. BI workloads for both Hadoop and Spark are…


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