One can see from the responses that Big Data landscape is getting very
crowded with tools and there are dozens of alternatives offered. However,
as usual the laws of selection will gravitate towards solutions that are
scalable, reliable and more importantly cost effective.
To this end any
Cloud adds another dimension:
The fact that in cloud compute and storage is decoupled, s3-emr or
blob-hdisight, means in cloud Hadoop ends up being more of a compute engine
and a lot of the governance, security features are irrelevant or less
important because data at rest is out of Hadoop.
I've been using spark for years and have (thankfully) been able to
avoid needing HDFS, aside from one contract where it was already in
use.
At this point, many of the people I know would consider Kafka to be
more important than HDFS.
On Thu, Apr 14, 2016 at 3:11 PM, Jörn Franke
I do not think so. Hadoop provides an ecosystem in which you can deploy
different engines, such as MR, HBase, TEZ, Spark, Flink, titandb, hive, solr...
I observe also that commercial analytical tools use one or more of these
engines to execute their code in a distributed fashion. You need this
jects implemented on hadoop, …) I would probably start using
>> spark. Its faster and easier to use
>>
>> Your mileage may vary
>>
>> Andy
>>
>> From: Ashok Kumar <ashok34...@yahoo.com.INVALID>
>> Reply-To: Ashok Kumar <ashok34...@yah
e your question is “Will Spark replace Hadoop MapReduce?” or do
> you literally mean replacing the whole of Hadoop?
>
> David
>
> From: Ashok Kumar [mailto:ashok34...@yahoo.com.INVALID]
> Sent: Thursday, April 14, 2016 2:13 PM
> To: User
> Subject: Spark replacing Ha
y mean replacing the whole of Hadoop? David
From: Ashok Kumar [mailto:ashok34...@yahoo.com.INVALID]
Sent: Thursday, April 14, 2016 2:13 PM
To: User
Subject: Spark replacing Hadoop Hi, I hear that some saying that Hadoop
is getting old and out of date and will be replaced by Spark!
> To: "user @spark" <user@spark.apache.org>
> Subject: Spark replacing Hadoop
>
> Hi,
>
> I hear that some saying that Hadoop is getting old and out of date and
> will be replaced by Spark!
>
> Does this make sense and if so how accurate is it?
>
> Best
>
>
Can we assume your question is “Will Spark replace Hadoop MapReduce?” or do you
literally mean replacing the whole of Hadoop?
David
From: Ashok Kumar [mailto:ashok34...@yahoo.com.INVALID]
Sent: Thursday, April 14, 2016 2:13 PM
To: User
Subject: Spark replacing Hadoop
Hi,
I hear that some
yahoo.com.INVALID>
> Reply-To: Ashok Kumar <ashok34...@yahoo.com>
> Date: Thursday, April 14, 2016 at 12:13 PM
> To: "user @spark" <user@spark.apache.org>
> Subject: Spark replacing Hadoop
>
> Hi,
>
> I hear that some saying that Hadoop is getting
From: Ashok Kumar <ashok34...@yahoo.com.INVALID>
Reply-To: Ashok Kumar <ashok34...@yahoo.com>
Date: Thursday, April 14, 2016 at 12:13 PM
To: "user @spark" <user@spark.apache.org>
Subject: Spark replacing Hadoop
> Hi,
>
> I hear that some saying that
Hi,
I hear that some saying that Hadoop is getting old and out of date and will be
replaced by Spark!
Does this make sense and if so how accurate is it?
Best
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