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Azure Data Explorer : a big data analytics cloud platform optimized for interactive , ad-hoc queries over structured , semi-structured and unstructured data
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2018 |
| Abstract | Introduction The world of Big Data is growing steadily, and the number of technologies that process large amounts of data is growing along with it. Modern Big Data solutions are typically composed of multiple technologies, each addressing a particular set of requirements. The usual activities include data collection, ETL, enrichment, batch processing, real-time stream analytics, dashboards, interactive exploration, reporting, aggregation and summarization, as well as training and servicing ML models. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://azure.microsoft.com/mediahandler/files/resourcefiles/azure-data-explorer/Azure_Data_Explorer_white_paper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
