Apache Hop
Open source for sophisticated data projects
Apache Hop, short for Hop Orchestration Platform, is a low-code platform for data engineering and data orchestration. Hop bridges the gap between the business layer and enterprise data experts by enabling more agile development that provides fast and straightforward access to and processing of data.
Apache Hop Highlights
Support for many best practices
Data experts can implement their own data project – with high quality, fast and with a steep learning curve
Integrated complete toolset
From configuration management as well as unit and integration testing to integrated version control and automatic documentation
Wide range of provided workflows
Read/write, enrichment/combination on countless source and target platforms. Batch, streaming, or batch/streaming hybrid processing, depending on engine
Strict separation of metadata from runtime code
Simplifies execution on a variety of platforms such as Spark, Flink, or Dataflow
Visual development environment
All life-cycle management is easily handled in the Hop GUI, and supports workflows and pipelines
Deep Neo4j integration
A diverse range of display options for reports and dashboards right through to visual, self-service analyses
We provide you with the following services in the Apache Hop environment
Consulting
Consulting for the architecture and development environment of Apache Hop
Implementation
Loading of large data sets into databases by taking advantage of cloud, cluster and massively parallel processing environments
Implementation
Data warehouse loading with built-in support for Slowly Changing Dimensions and Change Data Capture
Implementation
Combining of relational databases, files, NoSQL databases such as Neo4j, MongoDB, Cassandra and others.
Implementation
Data migration between different databases and applications
Implementation
Data profiling and cleansing
Support
German-language product support and individual solution support
Training
Carried out in-house or remotely by certified trainers
PoC execution
Planning and execution of Proof of Concepts for the evaluation of Apache Hop
Christopher Keller
Director Big Data Analytics & IoT
Implement your Apache Hop project with us
Why you should trust in it-novum for your Apache Hop project
Experience
We have been implementing data integration and analytics projects for more than 10 years
Communal Thinking
We are closely connected with the Pentaho community and organise the German-speaking user group meeting each year.
Expert knowledge
We have a large number of certified personnel (architects, consultants, developers, trainers)
Cross-industry
We implement Apache Hop in a wide range of industries (finance, public sector, manufacturing, telco, etc.)
