Promoting is turning out to be vigorously information driven. This post is a manual for assisting you with characterizing an interaction or pipeline, to stack information from Google AdWords to SQL Data Warehouse for additional investigation. We will perceive how to access and concentrate information from Google AdWords through its API and how to stack it into SQL Data Warehouse.
This interaction needs from you to compose the code to get the information and ensure that this cycle will run each time new information is created. Then again you can utilize items like Blendo that can deal with this sort of issue naturally for you.
About Microsoft Azure SQL Data Warehouse
SQL Data Warehouse is the information warehousing arrangement that you can utilize in the event that you are a client of Microsoft Azure. It’s a flexible information warehousing as an assistance arrangement, underlining it’s venture center. It additionally speaks SQL like the past two arrangements and it upholds questioning both social and non-social information. You can fix the database performance using SQL tuning service
It offers various endeavor class highlights like help for half and half cloud establishments and solid security. It’s most likely the less full grown arrangement contrasted with the two others however, it’s still in “See” mode albeit available to existing Azure supporters.
Concentrate your information from Google AdWords
The AdWords API permits applications to associate straightforwardly with the AdWords stage. You can fabricate applications to all the more productively oversee enormous or complex AdWords records and missions. In spite of the remainder of the APIs that we have canvassed in this arrangement of posts, the Google AdWords API is carried out just utilizing the SOAP convention and it doesn’t offer a RESTful web execution.
The AdWords API is a very perplexing item that uncovered a ton of usefulness to the client, going from answering to do offering and automatic commercial. As the extent of this post is the extraction of information from it, to stack the information to an information distribution center for additional examination, we’ll center just around that piece of the Google AdWords API. You can also check info for Google display ads on here- Bannerimainonta
There are numerous methods of collaborating with the information that adWords API assembles. One route is to connect your Google Analytics and AdWords accounts and really enhance the information of your examination with information coming from AdWords. The other conceivable way, in the event that you have the privilege to manage the cost of a Google investigation premium record, is to stack your information straightforwardly to Google BigQuery. From that point, you can either do your investigation from BigQuery or fare your information to another information distribution center.
Burden Data from Google AdWords to SQL Data Warehouse
SQL Data Warehouse support various alternatives for stacking information, such us:
Purplish blue Data Factory
BCP order line utility
SQL Server combination administrations
As we are keen on stacking information from online administrations by utilizing their uncovered HTTP APIs, we won’t consider the utilization of BCP order line utility or SQL worker mix in this guide. We’ll consider the instance of stacking our information as Azure stockpiling Blobs and afterward use PolyBase to stack the information into SQL Data Wareho use.
Getting to these administrations occurs through HTTP APIs, as we see again APIs assume a significant part in both the extraction yet in addition the stacking of information into our information stockroom. You can get to these APIs by utilizing an apparatus like CURL, Postman or Apirise.
Or on the other hand utilize the libraries gave by Microsoft to your number one language. Before you really transfer any information you need to make a holder which is a comparable thing as an idea to the Amazon AWS Bucket, making a compartment is a straight forward activity and you can do it by adhering to the directions found on the Blog stockpiling documentation from Microsoft.
At the point when you are finished placing your information into Azure Blobs you are prepared to stack it into SQL Data Warehouse utilizing PolyBase. To do that you ought to follow the headings in the Load with PolyBase documentation. In an outline the necessary strides to do it, are the accompanying:
make an information base expert key
make an information base perused accreditations
make an outer record design
make an outer information source
PolyBase’s capacity to straightforwardly parallelize loads from Azure Blob Storage will make it the quickest device for stacking information. Subsequent to designing PolyBase, you can stack information straightforwardly into your SQL Data Warehouse by just making an outer table that focuses to your information away and afterward planning that information to another table inside SQL Data Warehouse.
Obviously you should build up an intermittent cycle that will separate any recently made information from your administration, load them as Azure Blobs and start the PolyBase interaction for bringing the information again into SQL Data Warehouse. One method of doing this is by utilizing the Azure Data Factory administration. In the event that you might want to follow this way you can peruse some great documentation on the most proficient method to move information to and from Azure SQL Warehouse utilizing Azure Data Factory.