Observability patterns and metrics for performance tuning
Learn how to use observability patterns and metrics to improve the processing performance of a big data system using Azure…
Learn how to use observability patterns and metrics to improve the processing performance of a big data system using Azure…
Introduces technical aspects of implementing Azure Batch for risk grid computing in banking.
Learn how to build an example workload that brings together data from various systems into a user-friendly dashboard.
Build a precision medicine pipeline for genomic analysis and reporting. Use Microsoft Genomics for efficient secondary and tertiary analysis.
This solution focuses on-demand forecasting within the energy sector, which can give a company a competitive advantage.
Use historical demand data to train a demand forecasting model for shipping and distribution solutions on Microsoft AI Platform.
Predict future customer demand and optimize pricing to maximize profitability using big-data and advanced-analytics services from Microsoft Azure.
Azure Synapse Analytics brings together data integration, enterprise data warehousing, and big data analytics.
Extract, transform, and load (ETL) big data clusters on demand by using Azure HDInsight, Hadoop MapReduce, and Apache Spark.
Extend your on-premises big data investments to the cloud. Transform your business by using the advanced analytics capabilities of Azure…
Send equipment data to the Azure cloud to monitor its condition and performance. Process the data with Azure Databricks and…
Use interactive analytics in Azure Data Explorer. Examine structured, semi-structured, and unstructured data with improvised, interactive, and fast queries.
Use Azure Data Explorer in a hybrid monitoring solution that includes Microsoft Sentinel and Azure Monitor to ingest streamed and…
Stream events by using fully managed Azure data services. Use open-source technologies like Kafka, Kubernetes, Cassandra, PostgreSQL, and Redis components.
Tank level forecasting harnesses the power of real-time and historical data from sensors, meters, and records to prevent problems and…
Use a scalable HTAP architecture with Azure SQL Database to combine transaction processing with analytics. Reduce latencies and costs with…
Use Microsoft Purview to build a foundation for data governance and management that can produce and deliver high-quality, trusted data.
Improve your organization’s governance process by using Microsoft Purview in your Azure SQL estate.
Get deep-learning analytics and insights from live streaming data. Run advanced analytics on IoT device data and website clickstream logs…
Use Azure Stream Analytics to ingest data to an Azure Synapse dedicated SQL pool in high throughput scenarios.
Synapse serverless is a fast way to do EDA over a data lake or lakehouse. Self-service analytics is easy for…
As data flows into a storage account, use Azure Stack to analyze the data for anomalies or compliance and to…
A serverless event-driven architecture running on Azure Kubernetes with KEDA scaler that ingests and processes a stream of data, then…
A serverless event-driven architecture using Azure Event Hubs and Azure Functions to ingest and filter a stream of data for…
A serverless event-driven architecture in a VNet with private endpoints that ingests and processes a stream of data, then writes…
Use Azure Data Explorer for near real-time IoT telemetry analytics on fast-flowing, high-volume streaming data from a wide variety of…
Use Azure sentiment analysis and face recognition services with open-source solutions like Apache NiFi and Azure HDInsight to gauge public…
Learn how to secure a data lakehouse that’s implemented by using Azure Synapse Analytics.
Store security logs in Azure Data Explorer on a long-term basis. This solution minimizes costs and provides easy access when…
Learn how to integrate your app with Azure Event Grid and take advantage of its reliable delivery, advanced routing, and…
Demonstrates how to combine real-time aircraft data with analytics to create a solution for predictive aircraft engine monitoring and health.
This architecture allows you to combine any data at any scale with custom machine learning and get near real-time data…
Use TimeXtender to build a modern data estate that is ready for cloud scale analytics using a drag-and-drop user interface,…
Create ETL pipelines for batch and streaming data with Azure Databricks to simplify data lake ingestion at any scale.
Learn how free-form text processing can support search by producing useful, actionable data from large amounts of text.
Learn about Anomaly Detector and see how anomaly detection models are selected with time-series data.
Learn about data warehousing in Azure. A data warehouse is a repository of integrated data from disparate sources used for…
Create a pipeline for ingesting and analyzing RSS news feed data using Azure Cosmos DB, Azure Cognitive Services, and other…
Learn about online analytical processing (OLAP) solutions to organize large databases and support complex analysis without affecting transactional systems.
This reference architecture shows an end-to-end stream processing pipeline, which ingests data, correlates records, and calculates a rolling average.
Learn how use the Leader Election pattern to coordinate the actions performed by a collection of collaborating task instances in…
Learn how to automate an extract, load, and transform (ELT) workflow in Azure using Azure Data Factory with Azure Synapse…
Learn how to create a four stage end-to-end stream processing pipeline in Azure using Azure Databricks.
Analytics solutions turn volumes of data into useful business intelligence (BI), such as reports and visualizations, and inventive artificial intelligence…
See an example data analytics solution that can democratize data access and provide R&D engineers with near real-time insights into…
Use transaction history data to develop a pricing strategy with a machine learning model accounting for confounding and data sparsity.
Big Data Analytics with Azure Data Explorer demonstrates Azure Data Explorer’s abilities to cater to volume, velocity, and variety of…
Derive insights from siloed data. Connect operational data in MongoDB Atlas to Azure Synapse Analytics, and run real-time analytics on…
Second article in a series covering disaster recovery for an Azure data platform
Sixth article in a series covering disaster recovery for an Azure data platform