Integrate Microsoft Azure SQL Database with Amazon Kinesis
About Microsoft Azure SQL Database
Microsoft Azure is a public cloud computing service designed for building, testing, launching, and managing applications and services via Microsoft-managed data centers. Through its platform-as-a-service (PaaS), software-as-a-service (SaaS), and infrastructure-as-a-service (Iaas) offerings, Microsoft Azure integrates with a wide range of programming languages and tools. In addition to working with Microsoft’s proprietary software and systems, Azure is compatible with third-party solutions, including Linux. As an extremely popular cloud services platform, many businesses and enterprises have used Microsoft Azure to migrate their computer systems to the cloud and eliminate the costs and staff requirements needed to maintain physical onsite servers.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don’t allow real-time precision in decision-making because they can’t rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Popular Use Cases
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
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Microsoft Azure SQL Database's End Points
Microsoft Azure Virtual Machines
As one of its IaaS features, Microsoft Azure allows users to deploy virtual machines developed in Windows or Linux.
Microsoft Azure App Services
As one of its PaaS features, Azure App Services allows you to publish and manage websites and web applications.
Microsoft Azure WebApps
WebApps is Microsoft Azure's high-density web hosting service, which allows you to build web applications more efficiently with PHP, Node.Js, or Python, then deploy them on the Azure Cloud.
Microsoft Azure WebJobs
WebJobs gives you the ability to launch applications in the Microsoft App Services space and host them in the cloud.
Microsoft Azure Mobile Engagement Services
Microsoft Azure's mobile engagement service provides real-time tracking, data analytics, and deep insights to better understand user engagement and behavior for your mobile applications.
Microsoft Azure HockeyApp
Microsoft Azure's HockeyApp is a productivity-enhancing driver that helps you design, build, beta test, and distribute mobile apps more efficiently.
Microsoft Azure REST and SDK APIs
Azure's REST and SDK APIs allow you to store and access your application data on Azure's cloud platform.
Microsoft Azure Table Services
Azure Table Services facilitates the storage of data in structured text form so you can access it via a partition and primary key.
Microsoft Azure Blob Service
Blob Service empowers you to store unstructured text information and binary data as 'Blobs' accessible through HTTPS.
Microsoft Azure Queue Service
Queue Service streamlines asynchronous communication across multiple programs.
Microsoft Azure File Service
Azure File Service facilitates cloud data storage via REST API and the SMB Protocol.
Microsoft Azure Search Functionality
Azure's data search functionality supports more efficient data searching with REST and SDK APIs.
Microsoft Azure SQL Data Warehouse
Azure's SQL data warehouse is managed by Microsoft within the Azure Cloud Facility. It offers high-performance querying and enhanced data security.
Microsoft Azure Messaging Service
Azure Service Bus is a messaging service that facilitates communication between the Azure Cloud and applications operating on-site and off-site to build more reliable and scalable applications. The Azure Service Bus supports communication via Event Hubs, Queues, Topics, and Relays.
Microsoft Azure Automation Features
Azure Automation allows users to automate frequently-repeated tasks that they perform in their cloud and enterprise environments to save time and prevent human errors. Automation improves the reliability of common administrative tasks. Azure automation allows you to schedule tasks with runbooks or use Desired State Configuration for the automation of configuration management tasks.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.