In this video, Mark Cusack, chief architect at RainStor explains how Hadoop Big Data is generally queried via MapReduce batch jobs. If you run RainStor’s database natively on the Hadoop Distributed File System (HDFS), you not only achieve massive data compression but you also get full SQL access to run rapid-response queries in addition to MapReduce batch analytics but all at 10-100X higher performance.
[SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.
In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]
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