Theodora Fragkouli

About Theodora Fragkouli

Theodora has graduated from Computer Engineering and Informatics Department in the University of Patras. She also holds a Master degree in Economics from the National and Technical University of Athens. During her studies she has been involved with a large number of projects ranging from programming and software engineering to telecommunications, hardware design and analysis.

Spring XD 1.0.0.M5 is here!

Spring XD announces the Spring XD 1.0.0.Milestone 5 release. You can download it from here. According to Spring XD 1.0.0.M5 Released, Spring XD is a unified, distributed, and extensible system for real time analytics, batch processing, data injection and data export. The 1.0.0.Milestone 5 release provides new features to solving big data problems, as described below:

  • There are pre-defined batch jobs for importing JDBC to HDFS.
  • It offers additional job shell commands so as to controll batch jobs and get reports from batch jobs.
  • It introduces Hadoop Dataset Avro sink to store Java classes that are sent as the payload on the stream, using the Kite SDK.
  • HDFS sink now supports codecs (gzip, snappy, bzip2, lzo) and control is provided over file naming.
  • JMS source module now supports Topics in addition to Queues.
  • Gemfire Locators are supported more strongly.
  • Aggregator module is introduced for batching. It supports a backing message store for checkpointing the event stream either to memory, Redis, or a relational database.
  • Separate control and data transport protocols are supported
  • The XD servers are now built on top of Spring Boot

A Mac user may install Spring XD, with the use of Homebrew by executing the following commands:

$ brew tap pivotal/tap
$ brew install springxd

The Spring XD project website includes all information needed for the new release. New Spring XD users can checkout the QCon SF 2013 Session Reply: Introducing Spring XD to start off.

Related Whitepaper:

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