Qlik Compose™ for Data Lakes
Your fastest way to analytics-ready data lakes
Automate analytics-ready data pipelines
Qlik Compose for Data Lakes (formerly Attunity Compose for Data Lakes) automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments.
Qlik is recognized in the Gartner Magic Quadrant for Data Integration Tools.
Easy data structuring and transformation
An intuitive and guided user interface helps you build, model and execute data lake pipelines.
- Automatically generate schemas and Hive Catalog structures for operational data stores (ODS) and historical data stores (HDS) without manual coding.
Continuous updates
Be confident that your ODS and HDS accurately represent your source systems.
- Use change data capture (CDC) to enable real-time analytics with less administrative and processing overhead.
- Efficiently process initial loading with parallel threading.
- Leverage time-based partitioning with transactional consistency to ensure that only transactions completed within a specified time are processed.
Leverage the latest technology
Take advantage of Hive SQL and Apache Spark advancements including:
- The latest Hive SQL advancements including the ACID MERGE operation that efficiently processes data insertions, updates, and deletions while ensuring data integrity.
- Pushdown processing to Hadoop or Spark engines. Automatically generated transformation logic is pushed down to Hadoop or Spark for processing as data flows through the pipeline.
Historical data store
Derive analytics-specific data sets from a full historical data store (HDS).
- New rows are automatically appended to HDS as data updates arrive from source systems.
- New HDS records are automatically time-stamped, enabling the creation of trend analysis and other time-oriented analytic data marts.
- Supports data models that include Type-2, slowing changing dimensions.
Explore our solutions for modern data integration.
-
Real-Time Data Streaming (CDC)
Extend enterprise data into live streams to enable modern analytics and microservices with a simple, real-time and universal solution. -
Agile Data Warehouse Automation
Quickly design, build, deploy and manage purpose-built cloud data warehouses without manual coding. -
Managed Data Lake Creation
Automate complex ingestion and transformation processes to provide continuously updated and analytics-ready data lakes.
