package IO::Compress::Deflate ; require 5.006 ; use strict ; use warnings; use bytes; require Exporter ; use IO::Compress::RawDeflate 2.212 (); use IO::Compress::Adapter::Deflate 2.212 ; use IO::Co...

package PerlIO; our $VERSION = '1.12'; # Map layer name to package that defines it our %alias; sub import { my $class = shift; while (@_) { my $layer = shift; if (exists $alias{$layer}) { $layer = ...

## ## Generic data connection package ## package Net::FTP::dataconn; use 5.008001; use strict; use warnings; use Carp; use Errno; use Net::Cmd; our $VERSION = '3.15'; $Net::FTP::IOCLASS or die "ple...

# package IO::File; =head1 NAME IO::File - supply object methods for filehandles =head1 SYNOPSIS use IO::File; my $fh = IO::File->new(); if ($fh->open("< file")) { print <$fh>; $fh->close; } my $fh...

=head1 NAME Internals - Reserved special namespace for internals related functions =head1 SYNOPSIS $is_ro= Internals::SvREADONLY($x) $refcnt= Internals::SvREFCNT($x) hv_clear_placeholders(%hash); i...

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declaration: package: org.apache.tools.ant.taskdefs

help

Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.