There's no support for star or snowflake models, per se. What you get with
Hadoop is access to all your data and the processing power to build the ad
hoc queries you want, when you need them, rather than having to figure out
a schema/model in advance.
I recommend that you also ask your questions o
r data into a wasb you can try all three
> methods and see which one works best for you. HDInsights works well for
> mixing & matching tools.
>
>
>
> HTH,
>
> - SteveN
>
>
>
> -Original Message-
> From: Dean Wampler [mailto:deanwamp..
Dean
Thanks for the info. Are you saying that we can create star/snowflake data
models using spark so they can be queried from tableau ?
On Thursday, February 26, 2015, Dean Wampler wrote:
> Historically, many orgs. have replaced data warehouses with Hadoop
> clusters and used Hive along with Im
e
methods and see which one works best for you. HDInsights works well for mixing
& matching tools.
HTH,
- SteveN
-Original Message-
From: Dean Wampler [mailto:deanwamp...@gmail.com]
Sent: Thursday, 26 February, 2015 8:54
To: Vikram Kone
Cc: dev@spark.apache.org
Subjec
Historically, many orgs. have replaced data warehouses with Hadoop clusters
and used Hive along with Impala (on Cloudera deployments) or Drill (on MapR
deployments) for SQL. Hive is older and slower, while Impala and Drill are
newer and faster, but you typically need both for their complementary
fe
