Attunity Compose: Data Warehouse and Data Lake automation
Dramatically Reduce time, Cost and Risk Of Data warehousing
Attunity Compose for Data Warehouses provides a modern approach by automating and optimising data warehouse creation and operation. Attunity Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns.
Automate analytics-ready data pipelines with Compose for Data Lakes
Attunity Compose for Data Lakes automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organisations realise faster time-to-value from their existing data lake investments. Supporting one of the broadest ranges of data sources, Attunity Compose for Data Lakes ingests data into your data lake whether it’s on-premises, in the cloud, or in a hybrid environment.
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Load and sync data from sources with ease. Source feeds are loaded in real time with change data capture (CDC).
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Automate data model design and source mapping. Data models can be created or imported, then modified and enhanced iteratively.
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Streamline data warehouse and ETL generation. ETL code is auto-generated to populate and load data warehouses.
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Deploy data marts without manual coding. Data mart types are selected from a broad array of options including transactional, aggregated, or state-oriented.
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Automatically create metadata during design phases or implementation. Re-generate data lineage when changes are implemented.
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Validate data before it is loaded by identifying and repairing format issues and discrepancies.
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Configure and enforce pre-loading rules to automatically discover and remediate issues with values, formats, data ranges, and duplication while also implementing exception policies.
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