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# Apache Spark for Azure HDInsight Features

##### 
## Database (3)

Real-Time Data Collection

Collects, stores, and organizes massive, unstructured data in real time

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Lake

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

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##### 
## Integrations (2)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Platform (3)

Machine Scaling

Facilitates solution to run on and scale to a large number of machines and systems

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Processing (2)

Cloud Processing

Moves big data collection and processing to the cloud

Workload Processing

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

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Apache Spark for Azure HDInsight Comparisons

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[
Big Data Processing and Distribution
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