Notion of data feeds for ingestion of data and, last but not least, transaction support akin to that of a NoSQL store. AsterixDB has a flexible NoSQL styleĭata model a declarative query language that supports a wide range of queries a scalable runtime system partitioned, LSM-based data storage and indexing including B+ tree, R tree,Īnd text indexes support for external as well as native data a rich set of built-in types, including spatial, temporal, and textual types support for fuzzy, spatial, and temporal queries a built-in Itsįeatures make it well-suited to applications including Web data warehousing, social data storage and analysis, and other use cases related to Big Data. Finally, we will introduce the attendees to an open sourceĪsterixDB-based middleware platform called Cloudberry that supports interactive analytics andĪ brief description of the system Apache AsterixDBĪpache AsterixDB is a Big Data Management System (BDMS) with rich features that set it apartįrom other Big Data platforms such as Big Data Analytics Systems and NoSQL stores. Techniques into the system as user-defined functions in order to add data annotations such as
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We will also show how to integrate external machine learning models and NLP We will issue various kinds of queries against the cluster using the system's SQL++ query Set up an AsterixDB cluster and use its feed feature to ingest tweets. Index, query, analyze, and visualize large amounts of real-time social media data.
In this tutorial, we will present Apache AsterixDB and show how it can be used to to store, Details of the Presented Systems Apache AsterixDB
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