Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views. For example, a method includes configuring by at least one hardware processor at a first computing node, a view on a source table for shared access with at least a second computing node. The view includes a query associated with the source table. The query associated with the source table is executed to obtain a plurality of query results. A stream object is generated on the view. The stream object includes the plurality of query results of executing the query and a corresponding plurality of time stamps associated with times the plurality of query results are obtained. The generated stream object is configured for the shared access with at least the second computing node.

Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

Abstract: A system or persistent table may be generated storing changelog information of a primary base table. The system table may then be used to create streams of relevant information. In some examples, the streams may read from the system table for information past a retention period of the primary table while reading from the primary table information in the retention period.

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views. For example, a method includes detecting a first stream object on a view. The view includes a query associated with a source table. A syntax tree of the query is determined based on a definition of the view. The view is expanded based on replacing the first stream object with the syntax tree. The syntax tree includes a second stream object on the source table. Stream expansion of the second stream object is performed based on computing changes on the source table.

Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.

Abstract: A streaming ingest platform can improve latency and expense issues related to uploading data into a cloud data system. The streaming ingest platform can organize the data to be ingested into per-table chunks and per-account blobs. This data may be committed and may be made available for query processing before it is ingested into the target source tables. This significantly improves latency issues. The streaming ingest platform can also accommodate uploading data from various sources with different processing and communication capabilities, such as Internet of Things (IOT) devices.