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Data Preparation
Specifiche tecniche

Sistemi operativi supportati

CENTOS LINUX
RED HAT ENTERPRISE LINUX
SUSE LINUX
UBUNTU LINUX
MICROSOFT WINDOWS

Data Preparation - Free Desktop

Hardware Requirements

  • Processor: 64-bit processor is required (Note: 32-bit is not supported)
  • Allocated memory: 1GB minimum
  • Disk space: 500MB minimum free disk space

Operating System

  • Microsoft Windows 7 or more recent, 64 bits
  • Mac OS X 10.7 "Lion" or more recent

Connectivity

Data Sources:

  • Local Excel or CSV files
  • CSV, Parquet and AVRO files on Hadoop
  • CSV, Parquet and AVRO files on Amazon S3
  • Any database via JDBC

Hadoop Distribution Support

  • Hortonworks Data Platform
  • Cloudera Enterprise
  • Amazon EMR (including Apache Spark)
  • Apache Hadoop

Salesforce

Export:

  • Local Excel or CSV files
  • CSV, Parquet and AVRO files on Hadoop
  • CSV, Parquet and AVRO files on Amazon S3

Data Preparation Cloud - Abbonamento

Hardware Requirements

  • Processor: 64-bit processor is required (Note: 32-bit is not supported)
  • Allocated memory: 1GB minimum
  • Disk space: 500MB minimum free disk space

Connectivity

Data Sources:

  • Local Excel or CSV files
  • CSV, Parquet and AVRO files on Hadoop
  • CSV, Parquet and AVRO files on Amazon S3
  • Any database via JDBC

Hadoop Distribution Support

  • Hortonworks Data Platform
  • Cloudera Enterprise
  • Amazon EMR (including Apache Spark)
  • Apache Hadoop

Salesforce

Export:

  • Local Excel or CSV files
  • CSV, Parquet and AVRO files on Hadoop
  • CSV, Parquet and AVRO files on Amazon S3

Connectivity – Data Preparation Cloud – Subscription

Data Sources:

  • Local Excel or CSV files
  • CSV, Parquet and AVRO files on Amazon S3
  • Any database via JDBC
  • Salesforce
  • Talend Data Preparation fully leverages Talend’s integration capabilities to natively connect databases, files, cloud-based applications and more, and to also connect to Big Data Hadoop distributions, and NoSQL databases.

Export:

  • Local CSV, Excel, or Tableau files
  • CSV files on Amazon S3

Contattaci