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.

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.

REPORT

Agile Data Warehouse and Data Lake Automation: InBrief Report by the Bloor Group

DATA SHEET

Qlik Hadoop Data Ingestion Solution Sheet

WHITEPAPER

Five Principles for Effectively Managing Your Data Lake Pipeline

Learn more about Qlik Compose for Data Lakes today.