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Microsoft Azure Stack is an extension of Azure—bringing the agility and innovation of cloud computing to your onpremises environment and enabling the only hybrid cloud that allows you to build and deploy hybrid applications anywhere.

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The Steam Wallet is neither a bank account nor any kind of payment instrument. It functions as a prepaid balance to purchase Content and Services. You may place funds in your Steam Wallet up to a maximum amount determined by Valve, by credit card, prepaid card, promotional code, or any other payment method accepted by Steam. Within any twentyfour (24) hour period, the total amount stored …

Legacy SQL Functions and Operators | BigQuery | Google Cloud

20080411· Join Google Cloud's Partner program ... Unlike typical SQLprocessing systems, BigQuery is designed to handle repeated data. Because of this, BigQuery users sometimes need to write queries that manipulate the structure of repeated records. One way to do this is by using the FLATTEN operator. FLATTEN converts one node in the schema from repeated to optional. Given a …

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Stream Analytics Documentation Learn how to run Internet of Things (IoT) analytics in the cloud with Stream Analytics, a fully managed eventprocessing engine. Tutorials and other documentation show you how to analyze data in real time from applications, sensors, devices, social media, and more.

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Showplan Operator of the Week Stream Aggregate Simple Talk

Showplan Operator of the Week – Stream Aggregate Fabiano continues his mission to explain the Query Optimiser in practical terms, describing, one week at a time, all the major Showplan Operators used by SQL Server's Query Optimiser to build the Query Plan.

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The Stream Analytics query language offers a wide array of functions for analyzing and processing the streaming data. This query language supports simple data manipulation, aggregation functions to complex geospatial functions. You can edit queries in the portal, and test them using sample data that is extracted from the live stream.

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Processing Data with Java SE 8 Streams, Part 1

Aggregate operations: Streams support SQLlike operations and common operations from functional programing languages, such as filter, map, reduce, find, match, sorted, and so on. Furthermore, stream operations have two fundamental characteristics that make them very different from collection operations:

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Cloud Functions Realtime Data Processing | Google Cloud

Use Cloud Functions to respond to events from Cloud Storage or Firebase Storage to process files immediately after upload to generate thumbnails from image uploads, process logs, validate content, transcode videos, validate, aggregate and filter data in realtime.