+1, thanks Jacques
On Mon, Jul 11, 2016 at 2:05 PM, Julian Hyde wrote:
> +1 looks good!
>
>> On Jul 11, 2016, at 1:35 PM, Jacques Nadeau wrote:
>>
>> Good point. I added an additional bullet below.
>>
>>
>> ## Description:
>>
>> Arrow is a columnar
+1 looks good!
> On Jul 11, 2016, at 1:35 PM, Jacques Nadeau wrote:
>
> Good point. I added an additional bullet below.
>
>
> ## Description:
>
> Arrow is a columnar in-memory analytics layer designed to accelerate big
> data.
> It houses a set of canonical in-memory
Good point. I added an additional bullet below.
## Description:
Arrow is a columnar in-memory analytics layer designed to accelerate big
data.
It houses a set of canonical in-memory representations of flat and
hierarchical data along with multiple language-bindings for structure
manipulation.
[
https://issues.apache.org/jira/browse/ARROW-238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jihoon Son updated ARROW-238:
-
Summary: C++: InternalMemoryPool::Free() should throw an error when there
is insufficient allocated memory
Hello Jacques,
we could also add the Feather format [1] from Wes and Hadley Wickham to
the list. It uses the Arrow spec to provide a common columnar
interchange format for Python and R DataFrames. With speed and
interoperability it has the same core values as Arrow itself. With it we
have