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Advanced analytics on big data

Transform your data into actionable insights using the best-in-class machine learning tools. This architecture allows you to combine any data at any scale, and to build and deploy custom machine learning models at scale.

Advanced analytics on big dataTransform your data into actionable insights using the best in class machine learning tools. This architecture allows you to combine any data at any scale, and to build and deploy custom machine learning models at scale.1234576

Bring together all your structured, unstructured and semi-structured data (logs, files, and media) using Azure Data Factory to Azure Blob Storage.

Use Azure Databricks to clean and transform the structureless datasets and combine them with structured data from operational databases or data warehouses.

Use scalable machine learning/deep learning techniques, to derive deeper insights from this data using Python, R or Scala, with inbuilt notebook experiences in Azure Databricks.

Leverage native connectors between Azure Databricks and Azure SQL Data Warehouse to access and move data at scale.

Power users take advantage of the inbuilt capabilities of Azure Databricks to perform root cause determination and raw data analysis.

Run ad hoc queries directly on data within Azure Databricks.

Take the insights from Azure Databricks to Cosmos DB to make them accessible through web and mobile apps.

  1. 1 Bring together all your structured, unstructured and semi-structured data (logs, files, and media) using Azure Data Factory to Azure Blob Storage.
  2. 2 Use Azure Databricks to clean and transform the structureless datasets and combine them with structured data from operational databases or data warehouses.
  3. 3 Use scalable machine learning/deep learning techniques, to derive deeper insights from this data using Python, R or Scala, with inbuilt notebook experiences in Azure Databricks.
  4. 4 Leverage native connectors between Azure Databricks and Azure SQL Data Warehouse to access and move data at scale.
  1. 5 Power users take advantage of the inbuilt capabilities of Azure Databricks to perform root cause determination and raw data analysis.
  2. 6 Run ad hoc queries directly on data within Azure Databricks.
  3. 7 Take the insights from Azure Databricks to Cosmos DB to make them accessible through web and mobile apps.

Implementation guidance

Products/Description Documentation

SQL Data Warehouse

Azure SQL Data Warehouse is the fast, flexible and trusted cloud data warehouse that lets you scale, compute and store elastically and independently, with a massively parallel processing architecture.

Data Factory

Azure Data Factory is a hybrid data integration service that allows you to create, schedule and orchestrate your ETL/ELT workflows.

Azure Blob storage

Azure Blob storage is a Massively scalable object storage for any type of unstructured data—images, videos, audio, documents, and more—easily and cost-effectively.

Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform.

Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model database service. Then learn how to replicate your data across any number of Azure regions and scale your throughput independent from your storage.

Azure Analysis Services

Azure Analysis Services is an enterprise grade analytics as a service that lets you govern, deploy, test, and deliver your BI solution with confidence.

Power BI

Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices.

Related solution architectures

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Real-time analytics

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Modern data warehouseA modern data warehouse lets you bring together all your data at any scale easily, and to get insights through analytical dashboards, operational reports, or advanced analytics for all your users.12354

Modern data warehouse

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