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  1. Introducing Mass Ingestion
  2. Getting Started with Mass Ingestion
  3. Connectors and Connections
  4. Mass Ingestion Applications
  5. Mass Ingestion Databases
  6. Mass Ingestion Files
  7. Mass Ingestion Streaming
  8. Monitoring Mass Ingestion Jobs
  9. Asset Management
  10. Troubleshooting

Mass Ingestion

Mass Ingestion

Netezza Source and Amazon Redshift Target

Netezza Source and Amazon Redshift Target

The following table identifies the recommended data-type mappings for Mass Ingestion Databases configurations with a Netezza source and an Amazon Redshift target:
Netezza Source Data Type
Amazon Redshift Target Data Type
bigint
bigint
boolean
boolean
byteint
smallint
char(
size
), 1 <= s <= 4096
character(
size
), 1 <= s <= 4096
char(
size
), 4097 <= s <= 64000
character varying(
size
), 4097 <= s <= 64000
date
date
double
double precision
integer
integer
interval
character varying(55)
nchar(
size
), 1 <= s <= 16000
character varying(
size
), 4 <= s <= 64000
numeric(38,38)
character varying(41)
numeric(
precision
), 1 <= p <= 38
numeric(p,1), 38 <= p <= 0
numeric(p,s), 1 <= p <= 38, 1 <= s <= 37
numeric(p,s), 1 <= p <= 38, 1 <= s <= 37
nvarchar(
size
), 1 <= s <= 16000
character varying(
size
), 4 <= s <= 64000
real
real
smallint
smallint
st_geometry(
precision
), 1 <= p <= 63001
character varying(
size
), 2 <= s <= 65535
time
time without time zone
timestamp
timestamp without time zone
timetz
time with time zone
varbinary(
size
), 1 <= s <= 64000
character varying(
size
), 2 <= s <= 65535
varchar(
size
), 1 <= s <= 64000
character varying(
size
), 1 <= s <= 64000

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