Power BI is a Microsoft service offering cloud-based business analytics tools for visualizing and sharing insights through interactive reports and real-time dashboards.

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FEATURES:

 

Warehouse - Provide strategic insights from multiple sources into your entire business. 

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Paginated report - Display tabular data in a report that's easy to print and share. 

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Scorecard - Define, track, and share key metrics for your organization. 

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Dashboard - Build a single-page data story. 

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Dataflow - Prep, clean, and transform data. 

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Streaming dataset - Build visuals from real-time data. 

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Streaming dataflow - Combine and transform streaming data.

Microsoft Data Activator is a service that enables users to trigger real-time actions and workflows based on data events, facilitating immediate responses to critical business conditions.

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FEATURES:

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Reflex (Preview) - monitor datasets, queries, and event streams for patterns to trigger actions and alert.

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Reflex sample (Preview) - monitor datasets, queries, and event streams for patterns to trigger actions and alert with sample data. 

Data Engineering services offer solutions like to design, build, and manage scalable data pipelines and infrastructure for efficient data processing and integration.

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FEATURES: 

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Lakehouse - Store big data for cleaning, querying, reporting and sharing. 

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Notebook - Explore data and build machine learning solutions with Apache Spark applications. 

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Environment - Set up shared libraries. Spark compute settings, and resources for notebooks and Spark job definitions.

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Spark Job Definition - Define, schedule, and manage your Apache Spark jobs for big data processing.

Power Automate is a Microsoft service that allows users to create automated workflows between apps and services to streamline repetitive tasks.

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FEATURES:

 

Automated Flows - 

Flows that are triggered automatically based on specific events, such as when a new email arrives or a file is created in SharePoint.

Instant Flows - 

Manually triggered flows, which can be started with the click of a button from mobile devices or desktops.

 

Scheduled Flows - 

Flows that run on a predefined schedule, such as daily data exports or weekly reports.

Business Process Flows - 

Designed to guide users through a set of steps to ensure consistency in data entry and business processes.

UI Flows (RPA) - 

Robotic Process Automation (RPA) flows that automate repetitive tasks on legacy systems or applications without APIs.

Azure Data Factory is a cloud-based data integration service by Microsoft that orchestrates and automates data movement and transformation across various data sources.

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FEATURES:

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Dataflow Gen2- Prep, clean and transform data. 

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Data pipeline - Ingest data at scale and schedule data workflows. 

SQL Data Warehouse, is a Microsoft service that combines big data and data warehousing to provide powerful data integration, storage, and analysis capabilities in a single, scalable platform.

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FEATURES:

 

Warehouse - Provide Strategic insights from multiple sources into your entire business. 

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Mirrored Azure SQL Database - Easily replicate data from an existing source into an analytics friendly format. 

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Mirrored Snowflake - Easily replicate data from an existing source into an analytics-friendly format. 

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Mirrored Azure Cosmos DB - Easily replicate data from an existing source into an analytics-friendly format. 

Power Apps is a Microsoft service that enables users to quickly build custom apps without extensive coding.

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FEATURES:

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Canvas Apps -  Allows users to build custom applications with a drag-and-drop interface.

Model-Driven Apps - Focuses on component-based application development, where the app's structure and layout are determined by the data model.

Portals -  Enables the creation of external-facing websites that allow users outside your organization to interact with your data.

AI Builder -  Provides AI capabilities directly within Power Apps to add intelligence to your apps.

Data Science services provide tools and platforms, to build, deploy, and manage machine learning models and advanced analytics solutions for data-driven decision-making.

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FEATURES:

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ML Model - Use machine learning models to predict outcomes and detect anomalies in data. 

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Experiment - Create, run, and track development of multiple models for validating hypotheses. 

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Notebook - Explore data and build machine learning solutions with Apache Spark applications. 

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Environment - Set up shared libraries.  Spark compute settings, and resources for notebooks and Spark job definitions. 

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Microsoft Real-Time Intelligence provides tools and services to analyze streaming data instantly, enabling immediate insights and actions.

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FEATURES:

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Eventhouse - Rapidly load structured, unstructured and streaming data for querying. 

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Eventstream - Capture, transform, and route real-time event stream to various destinations in desired format with no-code experience. 

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Reflex (Preview) - Monitor datasets, queries, and event streams for patterns to trigger actions and alerts.