One of the main hurdles has been the inability to ingest and transform large amounts of data from multiple sources in real time. While most organizations employ data analysts and scientists, the reality is that they spend most of their time—up to 80%, according to some generally accepted estimates—in data preparation: collecting data sets and cleaning and organizing data.
Parallel Streaming Transformation Loader (PSTL) from Vertica Professional Services is a Big Data solution that dramatically reduces both the time and latency involved in real time data collection, loading, and transformation.
To know more about PSTL click here
- A Spark application with out-of-thebox integration from Kafka to Vertica and Hadoop; integration to other data systems via no-code configurations
- No-ETL, no-ELT, no-code required SQL streaming solution
- Single set of semantics for multiple sinks (Vertica, Kafka, Hive Tables, Opentsdb, or Spark Datasets)
- Out-of-the-box support for Confluent Kafka Sources
- Processes semi-structured JSON, Avro, Protobuf, Delimited, and CSV data into optimized data at rest
- Advanced job management of Spark Streaming Jobs
- A no-code approach for Change Data Capture, Slowly Changing Dimensions, Streaming Table Mappings, from external JDBC connectors
- A simple extensibility model for data validation and transformations
If you are interested in fixing issues and contributing directly to the code base, please see the document How to Contribute.
To build PSTL, you will need to make sure the following components are available in your build environment:
- Java 8
- Maven 3
- RPM Build tools
If you use brew
, this is generally as simple as:
brew update
brew tap caskroom/versions
brew cask install java8
brew install maven
brew install rpm
To build PSTL and generate a tarball distribution, simply run the following:
mvn -DskipTests clean install -Passembly
The generated tarball will be located under pstl-assembly/target
. Similarly, an unpacked tarball will be present in pstl-assembly/target
without the .tar.gz
suffix which you can use locally. Generally the only work required on your part to run the full distribution locally is to provide SPARK_HOME
in conf/pstl-env.sh
.
To build PSTL and generate a RPM distribution, simply run the following:
mvn -DskipTests clean install -Passembly-rpm
The generated RPM will be located under pstl-assembly-rpm/target/rpm/pstl-assembly-rpm_2.11/RPMS/noarch/
. Installing the RPM is as simple as rpm -ivh /path/to/rpm
. Uninstalling the RPM is as simple as rpm -e pstl-assembly_2.11
. By default the RPM will install to /usr/share/pstl
.
Please read the documentation here .
To contact us please e-mail to this address.