Advance Analytics Architecture
1. Bring together all your structured, unstructured, and semi-structured data (logs, files, and media) using Synapse Pipelines to Azure Data Lake Storage.
2. Use Apache Spark pools to clean and transform the structureless datasets and combine them with structured data from operational databases or data warehouses.
3. Use scalable machine learning/deep learning techniques, to derive deeper insights from this data using Python, Scala, or .NET, with notebook experiences in Apache Spark pool.
4. Apply Apache Spark pool and Synapse Pipelines in Azure Synapse Analytics to access and move data at scale.
5. Query and report on data in Power BI.
6. Take the insights from Apache Spark pools to Azure Cosmos DB to make them accessible through web and mobile apps.
Advance Analytics Use cases
Organizations have the ability to access more data than ever before. Advanced analytics help take advantage of data insights. Areas include:
- Customer service
- Predictive maintenance
- Recommending products or services
- System optimization of everything from supply chains to data center operations
- Product and services development
Advanced Analytics Flow
Datatyk Advance Analytics Consulting Services
Our experts team will help you design, build and maintain intelligent, custom Advanced Analytics Solution that transform your data into intelligence action to bring your business to the higher level We can also have solutions for replacing traditional Data Warehouse with a modern one optimized for today’s requirements in big data, analytics, real-time operation, high-performance, and cost control.
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