gbrueckl.at Report : Visit Site


  • Ranking Alexa Global: # 2,199,015

    Server:Apache...
    X-Powered-By:PHP/5.5.19

    The main IP address: 213.133.100.42,Your server Germany,Gunzenhausen ISP:Hetzner Online AG  TLD:at CountryCode:DE

    The description :microsoft bi, sap hana and beyond …...

    This report updates in 05-Dec-2018

Changed Date:2010-05-12

Technical data of the gbrueckl.at


Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host gbrueckl.at. Currently, hosted in Germany and its service provider is Hetzner Online AG .

Latitude: 48.323329925537
Longitude: 11.60122013092
Country: Germany (DE)
City: Gunzenhausen
Region: Bayern
ISP: Hetzner Online AG

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HTTP Header Analysis


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Content-Length:38006
X-XSS-Protection:1; mode=block
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Strict-Transport-Security:max-age=15768000
Date:Tue, 04 Dec 2018 21:10:47 GMT
Content-Type:text/html; charset=UTF-8

DNS

soa:ns19.hoststar.at. hostmaster.hoststar.at. 2016011401 10800 3600 604800 86400
txt:"MS=ms12742893"
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ns19.hoststar.at.
ipv4:IP:213.133.100.42
ASN:24940
OWNER:HETZNER-AS, DE
Country:DE
mx:MX preference = 10, mail exchanger = mail.gbrueckl.at.

HtmlToText

skip to content microsoft bi and beyond … search for: search menu primary menu home analysis services tabular multidimensional power bi powerpivot powerquery microsoft azure data factory resource manager machine learning infrastructure as a service sap hana statistics talks about me powershell module for databricks on azure and aws : over the last year i worked a lot with databricks on azure and i have to say that i was (and still am) very impressed how well it works and how it integrates with other services of the microsoft azure data platform like data lake store, data factory, etc. some of the projects i worked on also included ci/cd like pipelines using azure devops where databricks did not really shine so bright in the beginning. there are no native tasks for it or anything. but this is ok as for those scenarios, where you need to automate/script something, databricks offers continue reading powershell module for databricks on azure and aws → storing images in a powerbi/analysis services data models : as some of you probably remember, when powerpivot was still only available in excel and power query did not yet exist, it was possible to load images from a database (binary column) directly into the data model and display them in powerview. unfortunately, this feature did not work anymore in powerbi desktop and the only way to display images in a visual was to provide the url of the image which is public accessible. the visual would then grab the image on-the-fly from the url and render it. this of course has various drawbacks: the image needs to be available continue reading storing images in a powerbi/analysis services data models → deploying an azure data factory project as arm template : in my last post i wrote about how to debug custom .net activities in azure data factory locally. this fixes one of the biggest issues in azure data factory at the moment for developers. the next bigger problem that you will run into is when it comes to deploying your azure data factory project. at the moment, you can only do it manually from visual studio which, for bigger projects, can take quite some time. so i extended and advanced the code from my customactivitydebugger. well, actually i rewrote some major parts of it and moved it into a new continue reading deploying an azure data factory project as arm template → error-handling in power query : data is the daily bread-and-butter for any analyst. in order to provide good results you also need good data. sometimes this data is very well prepared beforehand and you can use it as it is but it is also very common that you need to prepare and transform the data on your own. to do this microsoft has introduced power query (on tool of the power bi suite). power query can be used to extract, transform and load data into excel and/or power pivot directly. when using any data you usually know what the data looks like and what to continue reading error-handling in power query → powershell module for databricks on azure and aws posted on 2018-11-15 by gerhard brueckl over the last year i worked a lot with databricks on azure and i have to say that i was (and still am) very impressed how well it works and how it integrates with other services of the microsoft azure data platform like data lake store, data factory, etc. some of the projects i worked on also included ci/cd like pipelines using azure devops where databricks did not really shine so bright in the beginning. there are no native tasks for it or anything. but this is ok as for those scenarios, where you need to automate/script something, databricks offers a rest api ( azure , aws ). as most of our deployments use powershell i wrote some cmdlets to easily work with the databricks api in my scripts. these included managing clusters (create, start, stop, …), deploying content/notebooks, adding secrets, executing jobs/notebooks, etc. after some time i ended up having 20+ single scripts which was not really maintainable any more. so i packed them into a powershell module and also published it to the powershell gallery ( https://www.powershellgallery.com/packages/databricksps ) for everyone to use! the module works for databricks on azure and also if you run databricks on aws – fortunately the api endpoints are almost identical. the usage is quite simple as for any other powershell module: install it using install-module cmdlet setup the databricks environment using api key and endpoint url run the actual cmdlets (e.g. to start a cluster) here is the same code for you to copy&paste: powershell install-module -name databricksps $accesstoken = "dapi123456789be672c4007052d4694a7c51" $apiurl = "https://westeurope.azuredatabricks.net" set-databricksenvironment -accesstoken $accesstoken -apirooturl $apiurl start-databrickscluster -clusterid "1202-211320-brick1" 1 2 3 4 5 install-module -name databricksps $accesstoken = "dapi123456789be672c4007052d4694a7c51" $apiurl = "https://westeurope.azuredatabricks.net" set -databricksenvironment -accesstoken $accesstoken -apirooturl $apiurl start-databrickscluster -clusterid "1202-211320-brick1" at the moment, the module supports the following apis: clusters api ( azure , aws ) groups api ( azure , aws ) jobs api ( azure , aws ) secrets api ( azure , aws ) token api ( azure , aws ) workspace api ( azure , aws ) libraries api ( azure , aws ) dbfs api ( azure , aws ) instance profiles api ( aws ) these apis are not yet implemented but will be added in the near future: scim api ( azure , aws ) all the cmdlets are documented and contain links to official documentation of the rest api call used by the cmdlet. some api endpoints support different variations of parameters – this was implemented using different parameter sets in powershell. there are still some ongoing tests (especially on aws) and improvements but i general all cmdlets work as expected. i hope this helps anyone else who also has to deal with the databricks apis frequently or has to integrate it in a ci/cd pipeline. the whole source code is also available from my git-repository ( https://github.com/gbrueckl/databricks.api.powershell ). if you want to provide any feedback, please use the git-repository to do so. share this: twitter linkedin facebook google like this: like loading... posted in big data , databricks , microsoft azure , powershell | tagged api , cd , ci , module , pipeline , rest using parameters and hidden properties in azure data factory v2 posted on 2018-09-26 by gerhard brueckl — no comments ↓ azure data factory v2 is microsoft azure’s platform as a service (paas) solution to schedule and orchestrate data processing jobs in the cloud. as the name implies, this is already the second version of this kind of service and a lot has changed since its predecessor. one of these things is how datasets and pipelines are parameterized and how these parameters are passed between the different objects. the basic concepts behind this process are well explained by the msdn documentation – for example create a trigger that runs a pipeline on a schedule . in this example an trigger is created that runs a pipeline every 15 minute and passes the property “scheduledtime” of the trigger to the pipeline. this is the json expression that is used: "parameters" : { "scheduledruntime" : "@trigger().scheduledtime" } @trigger() basically references the object that is returned by the trigger and it seems that this object has a property called “scheduledtime”. so far so good, this is documented and fulfills the basic needs. some of these properties are also documented here: system variables supported by azure data factory but unfortunately not all of them. so sometimes this trigger objects can be much more complex and also contain additional information that may not be documented. this makes it pretty hard for the developer to actually know which properties exist and how they could be used. a good example are event-based triggers which were just recently introduced where the docum

URL analysis for gbrueckl.at


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http://blog.gbrueckl.at/2017/05/
http://blog.gbrueckl.at/microsoft/reporting-services/
http://blog.gbrueckl.at/microsoft-azure/
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http://blog.gbrueckl.at/2014/08/
http://blog.gbrueckl.at/microsoft-azure/automation/
http://blog.gbrueckl.at/dmg/
http://blog.gbrueckl.at/2017/11/processing-azure-analysis-services-oauth-sources-like-azure-data-lake-store/
http://blog.gbrueckl.at/microsoft-azure/databricks/
http://blog.gbrueckl.at/valid/
http://blog.gbrueckl.at/median/
http://blog.gbrueckl.at/2017/05/c-wrapper-power-bi-rest-api-version-2/?share=facebook
http://blog.gbrueckl.at/template/
http://blog.gbrueckl.at/2017/11/
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Whois Information


Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

% Copyright (c)2017 by NIC.AT (1)
%
% Restricted rights.
%
% Except for agreed Internet operational purposes, no part of this
% information may be reproduced, stored in a retrieval system, or
% transmitted, in any form or by any means, electronic, mechanical,
% recording, or otherwise, without prior permission of NIC.AT on behalf
% of itself and/or the copyright holders. Any use of this material to
% target advertising or similar activities is explicitly forbidden and
% can be prosecuted.
%
% It is furthermore strictly forbidden to use the Whois-Database in such
% a way that jeopardizes or could jeopardize the stability of the
% technical systems of NIC.AT under any circumstances. In particular,
% this includes any misuse of the Whois-Database and any use of the
% Whois-Database which disturbs its operation.
%
% Should the user violate these points, NIC.AT reserves the right to
% deactivate the Whois-Database entirely or partly for the user.
% Moreover, the user shall be held liable for any and all damage
% arising from a violation of these points.

domain: gbrueckl.at
registrant: GB7168447-NICAT
admin-c: GB7168447-NICAT
tech-c: HNG2000990-NICAT
nserver: ns19.hoststar.at
remarks: 213.133.100.42
nserver: ns20.hoststar.at
remarks: 213.133.98.80
changed: 20100512 09:21:18
source: AT-DOM

personname: Gerhard Brueckl
organization:
street address: Rosenhof 15
postal code: 2120
city: Wolkersdorf
country: Austria
nic-hdl: GB7168447-NICAT
changed: 20100512 09:21:14
source: AT-DOM

personname: Domain Admin
organization: Hoststar - Multimedia Networks
street address: Irdning 186
postal code: A-8952
city: Irdning
country: Austria
nic-hdl: HNG2000990-NICAT
changed: 20101005 11:22:19
source: AT-DOM


  REFERRER http://www.nic.at

  REGISTRAR NIC-AT

SERVERS

  SERVER at.whois-servers.net

  ARGS gbrueckl.at

  PORT 43

  TYPE domain

DISCLAIMER
Copyright (c)2017 by NIC.AT (1)

Restricted rights.

Except for agreed Internet operational purposes, no part of this
information may be reproduced, stored in a retrieval system, or
transmitted, in any form or by any means, electronic, mechanical,
recording, or otherwise, without prior permission of NIC.AT on behalf
of itself and/or the copyright holders. Any use of this material to
target advertising or similar activities is explicitly forbidden and
can be prosecuted.

It is furthermore strictly forbidden to use the Whois-Database in such
a way that jeopardizes or could jeopardize the stability of the
technical systems of NIC.AT under any circumstances. In particular,
this includes any misuse of the Whois-Database and any use of the
Whois-Database which disturbs its operation.

Should the user violate these points, NIC.AT reserves the right to
deactivate the Whois-Database entirely or partly for the user.
Moreover, the user shall be held liable for any and all damage
arising from a violation of these points.

  REGISTERED yes

OWNER

  NAME Gerhard Brueckl

ADDRESS

  STREET Rosenhof 15

  PCODE 2120

  CITY Wolkersdorf

  COUNTRY Austria

  HANDLE GB7168447-NICAT

  CHANGED 2010-05-12

  SOURCE AT-DOM

ADMIN

  NAME Gerhard Brueckl

ADDRESS

  STREET Rosenhof 15

  PCODE 2120

  CITY Wolkersdorf

  COUNTRY Austria

  HANDLE GB7168447-NICAT

  CHANGED 2010-05-12

  SOURCE AT-DOM

TECH

  NAME Domain Admin

  ORGANIZATION Hoststar - Multimedia Networks

ADDRESS

  STREET Irdning 186

  PCODE A-8952

  CITY Irdning

  COUNTRY Austria

  HANDLE HNG2000990-NICAT

  CHANGED 2010-10-05

  SOURCE AT-DOM

DOMAIN

  DOMAIN gbrueckl.at

NSERVER

  NS19.HOSTSTAR.AT 213.133.100.42

  NS20.HOSTSTAR.AT 144.76.30.150

  CHANGED 2010-05-12

  SOURCE AT-DOM

  NAME gbrueckl.at

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