Apache Open Source Project--lens

The Lens provides a unified data analysis interface. Data Analysis task segmentation is achieved by providing a single view across multiple data stores while optimizing the environment for execution. Seamless integration of Hadoop implements functionality similar to traditional data warehouses.

Key features of the project:

• The simple metadata layer provides an abstract view layer for data storage

• A single shared-mode server, based on Hive meta-storage. Patterns are shared through data pipeline Hcatalog and analytics applications:

• OLAP Cube QL SQL-like high-level language for querying and describing datasets stored in different data cubes (Cubes)

• JDBC Driver and Java client library to process queries

• Lens Application Server -This is a REST server that allows users to query data, change the data model, schedule queries and quota limits for queries

• driver-based architecture allows embedding in report systems such as Hive, column data storage, Redshift, etc.

• engine selection based on cost algorithm -this algorithm optimizes the use of resources and automatically selects the best execution engine by the complexity of the query.

The architecture of Apache Lens is as follows:

Apache Open Source Project--lens