Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
Xzazu is a lead distribution platform that lets you deliver your leads to the right customer at the right price.Xzazu Integrations
Amazon S3 + XzazuCreate a New Inbound Lead to Xzazu from New or Updated File in Amazon S3 Read More...
Xzazu + Amazon S3Create Text Object to Amazon S3 from New Outbound Lead in Xzazu Read More...
Xzazu + Amazon S3Upload File in Amazon S3 when New Outbound Lead is created in Xzazu Read More...
Xzazu + Amazon S3Create Text Object to Amazon S3 from New Outbound Ping in Xzazu Read More...
It's easy to connect Amazon S3 + Xzazu without coding knowledge. Start creating your own business flow.
Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)
Triggers when a new outbound lead is available for your contract.
Triggers when a new outbound ping is available for your contract.
Triggers when a new pong result is available for your ping.
Create a new Bucket
Creates a brand new text file from plain text content you specify.
Copy an already-existing file or attachment from the trigger service.
Create an Inbond lead.
Amazon S3, as one of the most popular object storage service, is widely used for storing data. However, when it comes to accessing the stored data, we can only use the Amazon S3 API to access the data. The Amazon S3 API is a low-level programming interface, and it doesn't provide high-level functions such as querying, searching etc., which means that those data can only be accessed in a very limited way.Xzazu is a big data cloud platform, which has been adopted by more than 12000 enterprises worldwide. It provides an ETL (Extract, Transform, Load. tool to help users to easily extract data from various sources, including Amazon S3. With the help of Xzazu ETL tool, users are able to easily integrate Amazon S3 with other data sources and then do further analysis.
With the help of Xzazu ETL tool, users are able to easily integrate Amazon S3 with another data source and then do further analysis. For example, suppose we have an Amazon S3 bucket named "storedata", which contains some text files in CSV format, such as logs, click-streams, etc., and we want to extract some meaningful information from these files with the help of Xzazu tools. The following steps describe how to achieve this.Xzazu provides users with two types of ETL tools. Xzazu DMS (Data Management System. and Xzazu ETL (Extract Transform Load. Xzazu DMS is used for managing files in Amazon S3, loading data from other data sources into Amazon S3 etc., while Xzazu ETL is used for extracting and transforming data from Amazon S3.
1. Create an Xzazu accountUsers can sign up for a free trial account on https://www.xzazu.com/register.html . After signing up, users need to activate their account in order to access the service. They can follow the instructions in the activation mail to complete the activation procedure.2. Create an Amazon S3 bucketUsers can create an Amazon S3 bucket at https://console.aws.amazon.com/s3/home which will be used for storing data and accessing it later on.3. Integrate Amazon S3 with XzazuThe following instruction shows how to integrate Amazon S3 with Xzazu via AMAZON_ACCESS_KEY_ID and AMAZON_SECRET_ACCESS_KEY environment variables.a. Download and unpack Xzazu ETLb. Set environment variables AMAZON_ACCESS_KEY_ID and AMAZON_SECRET_ACCESS_KEY pointing to your AWS Access Key ID and Secret Key respectively.c. Run xzazu-etl-configThis will configure the access credentials for your bucket automatically if there is no configuration file present under config directory yet. At this point you will have a configuration file called aws.ini under config directory, which contains all your credentials for accessing the bucket:4. Prepare for data extractiona. Create an AWS CLI Configuration file containing the following snippet:b. Run xzazu-dms-prepare command to prepare the source bucket for data extraction:This command will create two directories for staging and output respectively under your destination bucket, if they don't exist already, and also create a job configuration file under your destination bucket's staging directory:
5. Run Xzazu ETL to extract and transform dataa. Run xzazu-etl-extract command to extract data from your source bucket:b. Run xzazu-etl-transform command to transform extracted data:6. Job Status MonitoringUsers can monitor their jobs' statuses in Xzazu by clicking on "jobs" option in the menu bar or by visiting http://<your xzazu server>/job . The job status may be "Running", "Succeeded", "Failed", "Deleted" or "Stopping". Users can also check job logs by clicking on "View Log" button in the job page.7. Download your transformed dataAfter you finish running xzazu-etl-transform command successfully, you will be able to see your transformed data in your destination bucket's output directory, which is created in step 3a above.
The process to integrate Amazon S3 and Xzazu may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.