Integrate Google AdWords with Amazon Kinesis

About Google AdWords

Google Adwords is an advertising tool that focuses on a cost-per-click model of paying for ads. Adwords tracks data on the performance of ads and ad campaigns, which can provide insights on if the budget for your ads is reflective of the value they bring to your company.

About Amazon Kinesis

Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don’t allow real-time precision in decision-making because they can’t rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.

Popular Use Cases

Bring all your Google AdWords data to Amazon Redshift

Load your Google AdWords data to Google BigQuery

ETL all your Google AdWords data to Snowflake

Move your Google AdWords data to MySQL

Bring all your Amazon Kinesis data to Amazon Redshift

Load your Amazon Kinesis data to Google BigQuery

ETL all your Amazon Kinesis data to Snowflake

Move your Amazon Kinesis data to MySQL

Integrate Google AdWords With Amazon Kinesis Today

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Google AdWords's End Points

Ad Groups

Monitor ads that share a single budget and bid amount, allowing you to efficiently track ad performance, change your bidding strategy, and ensure that an ad group is giving you the right return on your investment.

Campaigns

Organize ad groups into campaigns and set a single budget and bidding frequency. With this, you can better manage the expense of your ads and ensure that you are running the right ads for your purposes.

Amazon Kinesis's End Points

Amazon Kinesis Video Streams

Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.

Amazon Kinesis Data Streams

By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.

Amazon Kinesis Data Firehose

Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.

Amazon Kinesis Data Analytics

Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.

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8x8
AdRoll
Aftership
Airtable
Amazon Aurora
Amazon RDS
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Microsoft Azure SQL Database
Microsoft SQL Server (MS SQL)
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Mode
MongoDB
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