STRIIM FOR AZURE SQL DATA WAREHOUSE

Continuous, Real-Time Data Movement

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Move data to Azure SQL Data Warehouse in real time from a wide variety of data sources

The Striim platform, running in the Azure Cloud, offers non-intrusive, real-time data ingestion from data warehouses (including Oracle Exadata, Teradata, Amazon Redshift), databases (including Oracle, SQL Server, HPE NonStop, and MySQL), log files, messaging systems, sensors, and Hadoop solutions with in-flight transformations and optimized delivery.

By delivering continuously updated business data to Azure SQL DW, Striim eases cloud-based analytics and supports operational decision making on a continuous basis.

 

WHY STRIIM FOR AZURE SQL DATA WAREHOUSE

Striim for Azure SQL Data Warehouse

Striim offers a secure, reliable, and scalable service for real-time collection, preparation, and movement of unstructured, semi-structured, and structured data into Azure SQL Data Warehouse. It enables phased, zero database downtime migration to Azure SQL DW from existing data warehouses by running them in parallel. For real-time data movement from enterprise databases, Striim uses low-impact change data capture (CDC) to avoid any modification or performance impact on source production systems.

Via in-line transformations, including denormalization, before delivering to Azure SQL Data Warehouse, it reduces on-premises ETL workload as well as data latency. Striim enables fast data loading to Azure SQL DW through optimized interfaces such as streaming (JDBC) or batching (PolyBase). Azure customers can store the data in the right format, and provide full context for any downstream operations, such as reporting and analytical applications.

CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Data flows continuously and in the right format into Azure SQL DW
NON-INTRUSIVE
NON-INTRUSIVE
Build real-time data pipelines without impacting sources
BUILT-IN STREAM PROCESSING
BUILT-IN STREAM PROCESSING
Transform and denormalize data-in-motion using a SQL-based language
USE CASE - MODERN DATA WAREHOUSE

REAL-TIME OPERATIONAL STORE AND DATA WAREHOUSING

  • Streamline your data architecture to gain more operational value from your modern analytics solution
  • Set up real-time data pipelines to create an operational data store within the Azure SQL DW and offload operational reporting
  • Avoid batch ETL related inefficiencies using non-intrusive CDC combined with in-flight data processing,
  • Update traditional ETL processes with streaming data integration to fully benefit from next-gen cloud-based analytics

 

Striim for Azure SQL Data Warehouse
Use Case: Advanced Analytics on Big Data

STREAMING INTEGRATION FOR BIG DATA ANALYTICS

Striim for Azure SQL Data Warehouse
  • Use real-time collection, preparation and delivery into Azure Databricks, HDInsight, and Cosmos DB to support advanced analytics
  • Deliver real-time data continuously into Azure Storage (ADLS, Blob, ADLS Gen 2) from on-premise apps
  • Process data-in-motion to speed time-to-insight and minimize latency, while reducing on-premise ETL efforts
  • For long-running, Spark-based transformations, use Striim with Azure Databricks

 

See how streaming data integration can work for you.

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