Azure Data Platforms

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Following are different data platforms available as of now in Microsoft Azure.

  1. Azure Storage

    Azure Storage is the cloud storage solution for modern applications that rely on durability, availability, and scalability to meet the needs of their customers. A standard storage account gives you access to Blob storage, Table storage, Queue storage, and File storage.

    https://azure.microsoft.com/en-in/services/storage/ 

  1. Azure Data Lake Store

    Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Azure Data Lake enables you to capture data of any size, type, and ingestion speed in one single place for operational and exploratory analytics. Data stored in Data Lake Store can be easily analyzed using Hadoop analytic frameworks such as MapReduce or Hive.

    https://azure.microsoft.com/en-in/services/data-lake-store/

  2. Azure SQL Database

    Microsoft Azure SQL Database is a cloud-based service from Microsoft offering data-storage capabilities as a part of the Azure Services Platform. Unlike similar cloud-based databases, SQL Database allows users to make relational queries against stored data, which can either be structured or semi-structured, or even unstructured documents.

    https://azure.microsoft.com/en-in/services/sql-database/

  1. Azure SQL Data Warehouse

    Azure SQL Data Warehouse is an elastic scale, fully managed, petabyte-scale columnar data warehouse service, fully compatible and integrated with the SQL Server ecosystem. It also connects to Microsoft’s Azure Machine Learning libraries and Azure Data Lake.

    https://azure.microsoft.com/en-in/services/sql-data-warehouse/

  1. Azure MongoLab

    Azure MongoLab is a fully-managed cloud database service featuring highly available MongoDB databases.

    https://azure.microsoft.com/en-in/marketplace/partners/mongolab/mongolab/

  1. Azure MySQL Database

    Azure MySQL Database a powerful, fault-tolerant database as a service in the cloud for MySQL powered applications.

    https://azure.microsoft.com/en-in/documentation/articles/store-php-create-mysql-database/

  1. Azure DocumentDB

    DocumentDB is a NoSQL document database for big data solutions handling JSON data that require easy scaling and high availability.

    https://azure.microsoft.com/en-in/documentation/services/documentdb/

  2. Azure Redis Cache

    Azure Redis Cache is based on the popular open-source Redis cache. It gives you access to a secure, dedicated Redis cache, managed by Microsoft and accessible from any application within Azure.

    https://azure.microsoft.com/en-in/services/cache/

  3. Microsoft Azure StorSimple

    Microsoft Azure StorSimple is an integrated storage solution that manages storage tasks between on-premises devices and Microsoft Azure cloud storage. StorSimple is an efficient, cost-effective, and easily manageable storage area network (SAN) solution that eliminates many of the issues and expenses associated with enterprise storage and data protection.

    https://azure.microsoft.com/en-in/services/storsimple/

  1. Azure Data Catalog

    Enterprise-wide catalog in Azure that enables self-service discovery of data from any source (on prem or cloud, Microsoft or non-Microsoft, structured or non-structured) A metadata repository that allows users to register, annotate, discover, understand, and consume data sources.

    https://azure.microsoft.com/en-in/services/data-catalog/

  1. Azure Data Factory

    Azure Data Factory is a globally deployed data movement service in the cloud. Use it to ingest data from multiple on-premises and cloud sources easily. Then connect to on-premises sources with a data management gateway and use Data Factory to get your data where it needs to go. Prepare and partition your data as you ingest it or apply pre-processing steps.

    https://azure.microsoft.com/en-in/services/data-factory/

  1. Azure Data Lake Analytics

    Azure Data Lake Analytics is a new service, built to make big data analytics easy. This service lets you focus on writing, running and managing jobs, rather than operating distributed infrastructure. Instead of deploying, configuring and tuning hardware, you write queries to transform your data and extract valuable insights.

    https://azure.microsoft.com/en-in/services/data-lake-analytics/

  2. Microsoft Azure Event Hub

    Microsoft Azure Event Hub is a managed platform service that provides a foundation for large-scale data intake in a broad variety of scenarios. Examples of such scenarios are behavior tracking in mobile apps, traffic information from web farms, in-game event capture in console games, or telemetry data collected from industrial machines or connected vehicles.

    https://azure.microsoft.com/en-in/services/event-hubs/

  3. Azure Stream Analytics

    Azure Stream Analytics is a fully managed, cost effective real-time event processing engine that helps to unlock deep insights from data. Stream Analytics makes it easy to set up real-time analytic computations on data streaming from devices, sensors, web sites, social media, applications, infrastructure systems, and more.

    https://azure.microsoft.com/en-in/services/stream-analytics/

  4. Azure Machine Learning

    Microsoft Azure Machine Learning is a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services.

    https://azure.microsoft.com/en-in/services/machine-learning/

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