I am planning to write a series of blog posts to go through the services provided by Microsoft Azure Data and Analytics Platform in detail.
|Azure SQL Database||Cloud Database as a Service. Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database to build data-driven applications|
|SQL Server in Azure VM||SQL Server on Azure virtual machines enables to use full versions of SQL Server in the Cloud without having to manage any on-premises hardware. SQL Server VMs also simplify licensing costs when you pay as you go.|
|Cosmos DB||Azure Cosmos DB is Microsoft's globally distributed, multi-model database. Azure Cosmos DB enables to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive Service Level Agreements (SLAs)|
|Blob Storage||Azure Blob storage is a service that stores unstructured data in the cloud as objects/blobs. Blob storage can store any type of text or binary data, such as a document, media file, or application installer. Blob storage is also referred to as object storage|
|Table Storage||Azure Table storage is a service that stores structured NoSQL data in the cloud, providing a key/attribute store with a schemaless design. Because Table storage is schemaless, it's easy to adapt the data as the needs of the application evolve.|
|Redis Cache||Azure Redis Cache is a distributed, managed cache that helps to build highly scalable and responsive applications by providing super-fast access to the data.|
|Azure HDInsight||Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP). Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data. With popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, and more, a broad range of scenarios such as extract, transform, and load (ETL), data warehousing, machine learning, and IoT can be enabled.|
|Azure SQL Data Warehouse||SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. Use SQL Data Warehouse as a key component of a big data solution. Import big data into SQL Data Warehouse with simple PolyBase T-SQL queries, and then use the power of MPP to run high-performance analytics|
|Azure Data Lake Store||Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Azure Data Lake enables to capture data of any size, type, and ingestion speed in one single place for operational and exploratory analytics.
Azure Data Lake Store can be accessed from Hadoop (available with HDInsight cluster) using the WebHDFS-compatible REST APIs. It is specifically designed to enable analytics on the stored data and is tuned for performance for data analytics scenarios. Out of the box, it includes all the enterprise-grade capabilities—security, manageability, scalability, reliability, and availability—essential for real-world enterprise use cases.
|Azure Data Factory||Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation|
|Azure Data Catalog||Azure Data Catalog is a fully managed cloud service whose users can discover the data sources they need and understand the data sources they find. At the same time, Data Catalog helps organizations get more value from their existing investments|
|Azure Search||Azure Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over your content in web, mobile, and enterprise applications|
|Azure Event Hub||Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. With the ability to provide publish-subscribe capabilities with low latency and at massive scale, Event Hubs serves as the "on ramp" for Big Data.|
|Azure Databricks||Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.|
|Azure Stream Analytics||Azure Stream Analytics is a managed event-processing engine set up real-time analytic computations on streaming data. The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.|
|Azure Data Lake Analytics||Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform the data and extract valuable insights. The analytics service can handle jobs of any scale instantly by setting the dial for how much power you need.
The analytics service supports includes U-SQL, a language that unifies the benefits of SQL with the power of imperative code.
|Azure Machine Learning||Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Azure Machine Learning not only provides tools to model predictive analytics, but also provides a fully managed service that can be used to deploy the predictive models as ready-to-consume web services.|
|Cognitive Services||Microsoft Cognitive Services are a set of APIs, SDKs, and services available to developers to make their applications more intelligent by adding features such as facial recognition, speech recognition, and language understanding.|
|Bot Framework||Azure Bot Service speeds up development by providing an integrated environment that's purpose-built for bot development with the Microsoft Bot Framework connectors and BotBuilder SDKs|
|Cortana||Cortana is your truly personal digital assistant. Cortana is designed to help you get things done. Ready on day one to provide answers and complete basic tasks, Cortana learns over time to become more useful every day. Count on Cortana to stay on top of reminders and work across your devices.|
|Power BI||Power BI is a business analytics cloud service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on information technology staff or database administrators.|
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