Hortonworks Data Flow 2.1

Wei Wang and Haimo Liu announce Hortonworks Data Flow version 2.1:

In the release of HDF 2.1, data flow administrators within the enterprise can identify that in order for certain potential processors to be added to a working data flow system, additional authorization would be required.

In addition, HDF 2.1 supports over 180 processors including newly introduced Connect/Listen/PutWebSocket, Put/FetchElasticsearch5, ValidateCsv, etc.

HDF is Hortonworks’s big play on simplifying streaming operations in Hadoop.

Related Posts

Erasure Coding In Hadoop

Guy Shilo explains erasure coding, a new feature in Hadoop 3: The benefits are, of course, space-saving, and for large files also improved performance (blocks striped across datanodes can be read in parallel, and less blocks are written because there is no x3 replication). The larger the file the more notable is the performance gain. […]

Read More

Converting CSV To ORC

Mark Litwintschik investigates whether Spark is faster at converting CSV files to ORC format than Hive or Presto: Spark, Hive and Presto are all very different code bases. Spark is made up of 500K lines of Scala, 110K lines of Java and 40K lines of Python. Presto is made up of 600K lines of Java. […]

Read More

Categories

December 2016
MTWTFSS
« Nov Jan »
 1234
567891011
12131415161718
19202122232425
262728293031