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CASE STUDY: THE BAIL PROJECT

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Challange

 
 

The Bail Project™ National Revolving Bail Fund is a critical tool to prevent incarceration and combat racial and economic disparities in the bail system.

 

The Bail Project combats mass incarceration by disrupting the money bail system—one person at a time. This restores the presumption of innocence, reunites families, and challenges a system that criminalizes race and poverty. The Bail Project on a mission to end cash bail and create a more just, equitable, and humane pretrial system.

To combat mass incarceration The Bail Project has to set up and consume feeds from various jail & court websites to keep track of the next hearing date and also to follow up with the person in need to make sure his appearance in court.

What Complere did?

 
 
 
 
 
 
 
 
 
 
 

Complere approach to set up web scrapers and data warehouse solution on AWS Cloud to hold data from various jail & court websites, which support data discovery and follow-ups requirements to ensure the appearance of the concerned person in court. We have built & enhanced the scrappers specific to jail & court websites and set up the standardised staging and data warehouse layers to support data discovery.

The scope of the engagement included the following initiatives :

Build/enhance the node js scripts to scrape data from various Jail & Court websites and capture raw data in MongoDB.

Build the process to bring raw data from MongoDB to the staging area.


Build the process to transform the data identified in the staging area to populate data warehouse fact and dimension tables using PL/pgSQL

Build a process to bring messages from AWS DynamoDB and make them available in the data warehouse.


Build a process to capture leads, accounts, contacts, cases and other information from salesforce and make it available in the data warehouse.

Deploy ETL jobs on the AWS EC2 servers and set up a schedule to run the daily end-to-end process.


Setup the batch control to handle increment or full load specific to each source.



Setup Audit control system for each execution of process instance with the end status of SUCCESS or FAILED with an appropriate error message to resolve the failure.

Build the error logging and reject logging mechanism to identify and troubleshoot failures.

Complere solution benefited the The Bail Project in the following ways:

The centralized data warehouse solution helps The Bail Project by integration the data from various sources like the jail & court websites. Salesforce, and messages from DynamoDB to find & follow ups persons in need

The development of ETL in the Talend data integration tool & PL/pgSQL has reduced 70% efforts on the development side.




The easy to understand & extensible approach has benefited the project to self manage and extend the use case.



Summary

 

Complere provided The Bail Project with simple, easy to handle, high-performance ETL pipelines and data warehouse solution on AWS Cloud. With the new solution,  The Bail Project can take advantage of all consolidated data in the warehouse to identify the next needful person. Improved data quality and data availability would not only help them quickly realize high ROI on their investment but also enable them to end cash bail and create a more just, equitable, and humane pretrial system. Because bail is returned at the end of a case, donations to The Bail Project™ National Revolving Bail Fund can be recycled and reused to pay bail two to three times per year, maximizing the impact of every dollar

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Atlassian Bitbucket To AWS CodeCommit Using Bitbucket Pipelines

FABRUARY 20, 2023 | BLOGS

Today we going to learn about how we can sync the data from the bitbucket to the AWS CodeCommit .There can be cases we will be using Bitbucket from long time and now we have to shift ourself to the CodeCommit.

So we will need to replicate our commits done till date in the bitbucket and will also need to do the sync on timely basis.To achieve our goal bitbucket pipeline will help us with it .Lets see how we can do it.

Short Description on steps we will be following

  • Creating a new and empty CodeCommit Repository where we are going to sync the data of the bitbucket repository
  • Creation of IAM Group which will have the access permissions which will allow us to commit the changes in the Codecommit repository
  • Creation of IAM  User through which we will commit the changes from the bitbucket to the CodeCommit
  • Creation of SSH Keys and adding in the Security Credentials of the user
  • Configure Bitbucket Pipelines which will help us to create the replication from the bitbucket repository to the CodeCommit and which will be helpful to maintain the sync on timely basis.

Procedure

  • Creation of CodeCommit RepositoryFirst we will create an empty repository by selecting the region where we want the CodeCommit repository to be .Following will be the steps to create a new repository
  • We will create an empty repository to commit the changes from Bitbucket
  • Open up AWS CodeCommit and select your region
  • Once you’ve created a repository, select the repository, click the “Connect” button, and choose the SSH option which we’ll be using later on, this is where you’ll find your connection information, and some instructions that you can refer back to later.

Creation of IAM Group

Here we will need to have the Permission to the user for the CodeCommit to commit the changes

  • Create a new IAM CodeCommit-Contributor
  • Assign the AWSCodeCommitPowerUser policy to this group

Creation of IAM User

We will create a new user which will be helpful for us to get the data from the bitbucket to the CodeCommit

  • Create a new IAM user with a login of Bitbucket-User
  • assign the CodeCommit-Contributor group to it. 
  • After creation we will add the SSH public key to the user which we will do below

Creation of SSH Keys and adding in the Security Credentials of the user

Access to CodeCommit repositories is provided by associating credentials or keys. In this case, we’re going to use SSH and generate public and private keys for use with the IAM user and Bitbucket Pipeline service.

To generate a new private and public key (Windows users, YMMV), we’ll open terminal and execute the following. We’re not going to provide a password here, just hit return when it asks.

To generate a new private and public key (Windows users, YMMV), we’ll open terminal and execute the following. We’re not going to provide a password here, just hit return when it asks.

ssh-keygen -f ~/.ssh/codecommit_rsa

  • This will generate 2 files, ~/.ssh/codecommit_rsa, which is the private key and ~/.ssh/codecommit_rsa.pub, which is the public key. Copy your public key to your clipboard:

pbcopy < ~/.ssh/codecommit_rsa.pub
or we can do is
sudo cat ~/.ssh/codecommit_rsa.pub and copy the contents in the clipboard

  • Open your IAM Bitbucket-User, and under “Security credentials”, click Upload SSH Key under “SSH keys for AWS CodeCommit”, and paste in your public key.
  • Once your public key is created, there will be an SSH key ID associated with it.
  • This will be used as your CodeCommit username when accessing repositories.

Set up Git and validate your connection

Let’s test the connection at this point to confirm that you’ve correctly associated your new key with the user, as well as validated that the user has the correct privileges in the CodeCommit profile assigned to the group. We’re going to use this same configuration later on with Bitbucket Pipelines, so keep it handy.

  • Create your ~/.ssh/config, and associate your IAM user’s SSH key ID and new private key with the CodeCommit hosts.Write the below details in the config file which we will create

Host git-codecommit.*.amazonaws.com
User Your-IAM-SSH-Key-ID-Here [which is created in Security credentials when we uploaded the SSH key in iam user]
IdentityFile ~/.ssh/codecommit_rsa

  • Now we will initialize the connection as below

ssh git-codecommit.us-east-1.amazonaws.com
The authenticity of host ‘git-codecommit.us-east-1.amazonaws.com (72.21.203.185)’ can’t be  established.
RSA key fingerprint is SHA256:XXX/XXXXXX. 

Are you sure you want to continue connecting (yes/no)? yes 

Warning: Permanently added ‘git-codecommit.us-east-1.amazonaws.com,72.21.203.185’ (RSA) to the  list of known hosts.

We should get the below response :

  • You have successfully authenticated over SSH. You can use Git to interact with AWS CodeCommit. Interactive shells are not supported.Connection to git-codecommit.us-east-1.amazonaws.comclosed by remote host.

Configure Bitbucket Pipelines

  • In order to use Bitbucket Pipelines, it needs to be enabled for the repository first. Under your repository settings, choose Pipelines and enable pipelines in bitbucket. 
  • Now Pipelines is enabled, and before configuring that bitbucket-pipelines.yml file, lets initialize some Pipelines environment variables. 
  • Under your repository settings, choose Repository Variables under Pipelines. We’re going to create 5 environment variables as below.

Following are the variables we will assign

  • CodeCommitConfig: The base64 encoded version of the SSH config we added to our ~/.ssh/config earlier that specifies the Host, User and IdentityFile.
  • We can create the base64 encoding below

cat ~/.ssh/config | base64 -w 0

  • CodeCommitHost: The host and region of your CodeCommit instance
  • CodeCommitKey: The base64 encoded version of your SSH private key that we generated (node that it’s hidden and encrypted in the above screenshot because Secured was selected, make sure you do this as well).We can create base4 encoding like

cat ~/.ssh/codecommit_rsa | base64 -w 0

  • CodeCommitRepo: The host, region and repository path of your repository.
  • CodeCommitUser: The SSH key ID associated with the public key on your AWS IAM user.[This is the SSH keyID which we will get in the Security Credentials in the IAM]
  • Lets create that bitbucket-pipelines.yml file, either add it using your favourite editor, or click “Configure bitbucket-pipelines.yml” and edit it directly on bitbucket.org.

pipelines:
default:
   – step:
      script:  
– echo $CodeCommitKey > ~/.ssh/codecommit_rsa.tmp 
– base64 -d ~/.ssh/codecommit_rsa.tmp > ~/.ssh/codecommit_rsa
– chmod 400 ~/.ssh/codecommit_rsa 
– echo $CodeCommitConfig > ~/.ssh/config.tmp 
– base64 -d  ~/.ssh/config.tmp > ~/.ssh/config 
– set +e 
– ssh -o StrictHostKeyChecking=no $CodeCommitHost 
– set -e 
– git remote add codecommit ssh://$CodeCommitRepo 
– git push codecommit $BITBUCKET_BRANCH

  • Below is the details of the pipeline script which we have created
  • Creates temporary files for $CodeCommitKey and $CodeCommitConfig then decodes them into place.
  • Adjusts the permissions on your primary key (some SSH clients require more secure privileges on this file)
  • Initializes the SSH connection to the CodeCommit host. It’s worth noting here that this command will “appear to fail”, so we need to disable error checking (set +e) on this script and let it fail silently and then re-enable error checking (set -e). -o StrictHostKeyChecking=no will prevent the service from needing to manually accept the remote host.
  • Add the CodeCommit repository as a remote and push the current ($BITBUCKET_BRANCH) branch

Notes

  • We will also require CodeCommit Repository as empty everytime

Let us handle the heavy lifting and ensure your data is safe and secure throughout the process.

Benefits of Atlassian Bitbucket and AWS CodeCommit in your Business

Atlassian Bitbucket and AWS CodeCommit are two popular source code repositories that offer several benefits to businesses. They provide easy integration, affordability, collaboration, security, automation, scalability, flexibility, cloud-based accessibility, customizability, and reliability. Bitbucket Pipelines, in particular, enables automatic builds, testing, and deployment, which can streamline software development processes and increase productivity. Both repositories support a range of languages, frameworks, and development environments, making them versatile for businesses of any size or industry.

Overall, the use of Atlassian Bitbucket and AWS CodeCommit can benefit businesses by improving their source code management and development processes, while also providing reliable, customizable, and secure solutions.

Complere can help

Complere, a DevOps and Agile services company, can help businesses looking to use Atlassian Bitbucket and AWS CodeCommit in conjunction with Bitbucket Pipelines. With Complere, businesses can take advantage of their extensive experience and knowledge in DevOps, Agile methodologies, and technology solutions to implement a seamless transition from Bitbucket to CodeCommit.

Complere can help businesses identify their specific needs, design workflows that fit those needs, and provide customized solutions for their source code management and development processes. They can also help implement Bitbucket Pipelines to automate builds, testing, and deployment, which can improve the efficiency and productivity of development teams.

Additionally, Complere can provide training and support to help businesses maximize the potential of Atlassian Bitbucket and AWS CodeCommit. This can help businesses to better understand how to use these tools, improve their software development processes, and ultimately achieve their business goals. By leveraging the expertise of Complete, businesses can confidently adopt and implement these powerful tools to achieve their desired outcomes.

Call the Complere team at 7042675588 today to learn more about our services and how we can help you.

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Puneet Taneja
CPO (Chief Planning Officer)

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Serverless Lambda Function For Talend Jobs

FABRUARY 20, 2023 | BLOGS

Learning about Talend and AWS is always fun and the way it is interacted is also full of fun. In this post we will see how run the talend job by deploying them in lambda function and run the lambda function using Serverless framework.

Lets get started with the prerequisites which are very important to start the topic:

Prerequisites

  1. Node JS(https://nodejs.org/en/) (You can check appendix for more details)
  2. Apache Maven
  3. Serverless (https://serverless.com/framework/docs/providers/aws/guide/quick-start/)
  4. AWS Access Key and Secret Key
  5. Visual Studio Code
  6. Oracle JDK

Installation of Node JS

Lets Download the Node JS binaries from (https://nodejs.org/en/) site and install.

Node JS installation will install both node JS runtime and npm (node package manager)
NPM is used to install packages.
For linux we have to use command as
<code

 yum install-y gcc-c++make
curl -sL https://rpm.nodesource.com/setup_6.x |sudo-Ebash
yum install nodejs
node -v

For windows we have to install like : https://nodesource.com/blog/installing-nodejs-tutorial-windows/

Installation of Apache Maven

As we are done with the Nodejs installation we will start with apache maven
Following are the ways how we can install apache maven :
In Windows :

  • Go to the link :https://maven.apache.org/download.cgi unzip it and add the bin path to the environment variables like :
  • PATH=C:\apache-maven-3.6.0-bin\apache-maven-3.6.0\bin
  • We can verify if it is installed by checking mvn -version [Which will give us the version of the maven which is installed.]

In Linux :

  • wget http://mirror.olnevhost.net/pub/apache/maven/maven-3/3.0.5/binaries/apache-maven-3.0.5-bin.tar.gz
  • Run the wget command from the dir you want to extract maven too.
  • run the following to extract the tar,
    tar xvf apache-maven-3.0.5-bin.tar.gz
  • move maven to /usr/local/apache-maven
    mv apache-maven-3.0.5  /usr/local/apache-maven
  • Next add the env variables to your ~/.bashrc fileexport M2_HOME=/usr/local/apache-maven
    export M2=$M2_HOME/bin
    export PATH=$M2:$PATH
  • Execute these commands
    source ~/.bashrc
  • Verify everything is working with the following commandmvn -version

Installation of Oracle JDK

We can do the installation of Oracle JDK as follows :
In Windows

  • Install the jdk 8 from the official website :
  • https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html
  • We will need to set the environment variable of the jdk :
  • JAVA_HOME=C:\Program Files\Java\jdk1.8.0_181
  • PATh =%JAVA_HOME%\bin
  • In Linux
  • wget –no-check-certificate –no-cookies –header “Cookie: oraclelicense=accept-securebackup-cookie” http://download.oracle.com/otn-pub/java/jdk/8u141-b15/336fa29ff2bb4ef291e347e091f7f4a7/jdk-8u141-linux-x64.rpm
  • sudo yum install -y jdk-8u141-linux-x64.rpm
  • java -version

Serverless configuration

We will need to install serverless and add our credentials in config which will help us to connect with the aws

  • Run the below command to install Serverless globallyserverless-stack-output is a plugin, aws-sdk is used to call Batch jobs and to install other dependencies using npm installnpm install -g serverlessnpm install
  • serverless config credentials

 sudo serverless config credentials –provider aws –key <ACCESS_KEY> –secret <SECRET_KEY>

Serverless installation of the AWS Lambda function

  • This will create an AWS Lambda function for the talend job using the serverless.
  • First we will make empty directory named as : serverless-lambda-talendjobname
  • Now in Visual code we will browse to the folder as cd serverless-lambda-talendjobname
  • Now we will create a serverless java maven template as 
    serverless create –template aws-java-maven
  • Now we have to install the talend related directories for that we have one zip attached as Supporting_Talend_Jobs_For Serverless
    Supporting_Talend_Job_For_Serverless_0.1.zip
  • This zip will help us to install all the lib files and will also generate the pom.xml for us which we can use it for the serverless_Project.
  • Following will be the generic folder structure which we will follow :
  • serverless_project : We can give the generic name to the serverless_project which will be parent directory and where we will place all the related folders and zips .
  • code : This will contain the serverless code which we will install and deploy
  • lib : This will contain all the libs which are present and which needs to do mvn install
  • Supporting_Talend_Job_For_Serverless : This is the attached zip which is used to install the libs of the talend projects
  • TalendProject : This is the talend project for which we have to create the lambda function
  • Working Procedure of Supporting_Talend_Job_For_Serverless :
  • 1st we have to unzip the Supporting_Talend_Job_For_Serverless and also unzip the TalendProject
  • TalendProject have jars at 2 places :
    1. TalendProject\lib
    2. TalendProject\TalendProject\lib
    3. We will place this jars in the lib folder which is shown in above image
  • Then we will run the bat file present in the directory D:\serverless_project\Supporting_Talend_Job_For_Serverless_0.1\Supporting_Talend_Job_For_Serverless\Supporting_Talend_Job_For_Serverless_run.bat which will do all the installation of the jars and also will generate the pom.xml file named as pom_generated_by_talend.xml
  • We will now replace the pom.xml file created in the code directory from the template to the one which is generated by talend
  • We will change the Handler.java as per the code like below

public ApiGatewayResponse handleRequest(Map<String, Object> input, Context context) {        LOG.info(“received: {}”, input);
testproject.newjob_0_1.newjob t2 = new testproject.newjob_0_1.newjob();
        String[] context2 ={};
        t2.runJob(context2);
        Response responseBody = new Response(“Success”,input);
        return ApiGatewayResponse.builder()
            .setStatusCode(200)
            .setObjectBody(responseBody)
            .setHeaders(Collections.singletonMap(“X-Powered-By”, “AWS Lambda & serverless”))
            .build();
}

Now we will try to install the dependencies as :

mvn clean install

When the build will be success we will deploy the sls as :

sls deploy

We can now check the function by invoking it as :

serverless invoke –function <functionname> -l

And we are done if we get any error then we can check the above steps .

Let us handle the heavy lifting and ensure your data is safe and secure throughout the process.

Benefits of Having Data Processing with ETL-Design in your Business

Serverless Lambda functions can offer several benefits for Talend jobs in a business setting. Some of these benefits include:

  • Scalability: Lambda functions can be easily scaled up or down as needed, allowing for better performance and cost efficiency. This means that the function will automatically scale up when the workload increases and scale down when it decreases.
  • Reduced cost: Lambda functions are only billed for the time they are running, which can result in significant cost savings compared to running a server 24/7. In addition, you don’t need to worry about maintaining servers, so you can save money on infrastructure costs.
  • Faster time-to-market: By using serverless computing, you can quickly deploy your Talend jobs without the need for server configuration or management. This means you can deliver your solution faster and with less overhead.
  • Improved reliability: Serverless computing is highly reliable because the cloud provider manages the infrastructure and automatically handles fault tolerance and failover. This means that you can focus on the business logic of your Talend jobs and not have to worry about infrastructure.
  • Easy integration: Lambda functions can easily integrate with other AWS services and third-party tools, making it easier to create complex workflows and integrate with other applications.

Overall, using serverless Lambda functions for Talend jobs can provide a more efficient, cost-effective, and reliable solution for your business.

Complere can help

Complere is a consulting firm that can assist businesses in implementing serverless Lambda functions for Talend jobs. We provide expert guidance in architecture design, implementation, optimization, training, and support. Our team can help you design a serverless architecture, implement Lambda functions, and integrate them with other AWS services. We can also help you optimize your Lambda functions and other serverless services for cost and efficiency, as well as provide training and support for your team.

Using serverless Lambda functions for Talend jobs can provide several benefits for businesses, such as scalability, cost savings, faster time-to-market, improved reliability, and easy integration with other tools. Complere can help you leverage these benefits by providing expert guidance and support in implementing and optimizing your serverless solution. We can ensure that your solution is optimized for performance, cost, and reliability, and that your team is trained and supported in using it effectively.

Call the Complere team at 7042675588 today to learn more about our data services and how we can help you.

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Puneet Taneja
CPO (Chief Planning Officer)

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ETL With Airflow

FABRUARY 21, 2023 | BLOGS

Airflow is a platform to programmatically author, schedule and monitor workflows. We use airflow to author workflows as directed acyclic graphs (DAGs) of tasks.

The airflow scheduler executes your tasks on an array of workers while following the specified dependencies, we have heard about airflow but we never knew how to get it working for the talend jobs and it will be very easy as we will have the UI for scheduling and monitoring the working flow of the talend jobs.
 
Lets check our To Do to achieve the goal
Launching the instance of the Ec2 : We will be launching the ubuntu server for the installation of the airflow and also for copying the talend jobs in the server
Installing Airflow in Ec2 instance : We will follow the steps for the installation of the airflow and get the webserver of the airflow working
Adding of the talend job and creating DAGs file

Launching the instance of the Ec2

Sure, here are the general steps to launch an EC2 instance:

  1.  Log in to the AWS Management Console and go to the EC2 service dashboard.
  2. Click on the “Launch Instance” button.
  3. Choose an Amazon Machine Image (AMI) that suits your needs. An AMI is a pre-configured virtual machine image that serves as the basic template for your instance.
  4. Select the instance type that you want to use. Instance types determine the amount of compute, memory, and networking capacity that your instance will have.
  5. Configure the instance details, including the number of instances to launch, the network settings, and other options.
  6. Add storage to your instance by selecting the appropriate type and size of storage volumes.
  7. Configure any additional details, such as security groups and key pairs.
  8. Review your selections and launch the instance.
Once you have launched your instance, you will be able to connect to it using SSH or other remote access protocols, and you can start using it to run your applications or perform other tasks as needed.

Installing Airflow in Ec2 instance

Sure, here are the general steps to install Airflow in an EC2 instance:

  1. Log in to your EC2 instance using SSH.
  2. Update the instance packages and dependencies by running the command
    ‘sudo apt-get update‘.
  3. Install the required dependencies for Airflow by running the command ‘sudo apt-get install python3-dev libmysqlclient-dev‘.
  4. Install pip, the package installer for Python, by running the command ‘sudo apt-get install python3-pip‘.
  5. Install Airflow using pip by running the command
    ‘pip3 install apache-airflow’.
  6. Initialize the Airflow database by running the command
    ‘airflow db init‘.
  7. Create an Airflow user by running the command
    ‘airflow users create –username <USERNAME> –firstname <FIRSTNAME> –lastname <LASTNAME> –role Admin –email <EMAIL>‘.
    Replace the <USERNAME>, <FIRSTNAME>, <LASTNAME>, <EMAIL> with the actual values.
  8. Start the Airflow web server and scheduler by running the command ‘airflow webserver -p 8080’ and ‘airflow scheduler’.
  9. Access the Airflow web UI by navigating to the public DNS or public IP address of your EC2 instance on port 8080 in your web browser.

That’s it! You should now have Airflow installed and running on your EC2 instance. You can use it to create and manage workflows for your data pipelines.

Adding of the talend job and creating DAGs file

To add a Talend job to Airflow and create a DAG file, you can follow these general steps:

  1. Create your Talend job in Talend Studio and export it as a standalone Job Archive (.zip file).
  2. Transfer the Job Archive file to your EC2 instance where Airflow is installed.
  3. Create a new directory in your Airflow home directory (e.g. /home/ubuntu/airflow/dags/talend) to store the Talend job and any related files.
  4. Extract the contents of the Job Archive file to the directory you just created. Make sure to keep the directory structure intact.
  5. Create a new Python file in the same directory with a filename that will serve as the name of your DAG (e.g. my_talend_dag.py).
  6. In this Python file, import the necessary Airflow libraries and define your DAG.
  7. Define your DAG tasks, using the BashOperator or PythonOperator as appropriate to execute your Talend job.
  8. Add the DAG to your Airflow scheduler by copying the Python file to the dags folder (e.g. /home/ubuntu/airflow/dags/).
  9. Start the Airflow webserver and scheduler if they’re not already running, using the
    ‘airflow webserver’ and ‘airflow scheduler’ commands.
  10. Check the Airflow web UI to confirm that your Talend job is running as expected.

Here’s an example Python code snippet for a DAG that runs a Talend job using a BashOperator:

from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime
# Define the DAG
dag = DAG(
    ‘my_talend_dag’,
    description=’DAG to run my Talend job’,
    schedule_interval=None,
    start_date=datetime(2023, 2, 21),
    catchup=False
)
# Define the BashOperator task to run the Talend job
run_talend_job = BashOperator(
    task_id=’run_talend_job’,
    bash_command=’/home/ubuntu/airflow/dags/talend/my_talend_job/run_job.sh’,
    dag=dag
)
# Set the order of the tasks in the DAG
run_talend_job >> end_of_dag

This example assumes that your Talend job includes a run script called run_job.sh that can be executed from the command line. You would need to modify the path and filename to match the location of your own Talend job files.
With these steps, you should be able to create a DAG that runs your Talend job in Airflow.

Benefits of Cross-checking data validation in your business

We know that inaccurate data costs the business time, money, and resources. Therefore, having high-quality data is essential for accuracy and dependability. The benefits of data validation in your business are listed below: 

  • Data validation ensures that the data in your system is accurate. Your business benefits from accurate data in many different ways, especially when it comes to sales. 
  • Without question, sales teams rely on reliable data to create and maintain accurate sales lead lists. Your sales funnel won’t be able to stay successful to fill pipeline full. If you keep employing disconnected lines or expired email addresses. 
  • Businesses save time and create many potential possibilities by authenticating data. 
  • Data validation ensures that you work with accurate data for your current clients, organizational structures, executive directories, and financial information. 

Conclusion

Airflow is a powerful platform for building ETL pipelines. Its ability to define, schedule, and monitor complex workflows makes it ideal for processing large volumes of data. By following best practices, organizations can build reliable and efficient ETL pipelines that can scale to meet their data processing needs. Leveraging Airflow’s capabilities for efficient and reliable data processing is crucial in the age of big data.

Let us handle the heavy lifting and ensure your data is safe and secure throughout the process.

Speak to an Expert

Complere can help

Complere combines the most advanced automated technologies with skilled, experienced personnel to give you the best data validation services available. 

We understand that it is not possible to have your personnel manually validate information every day. We can swiftly and accurately authenticate data using industry-leading procedures, giving your employees access to the most recent, accurate, and comprehensive information whenever they need it. 

Call the Complere team at 7042675588 today to learn more about our data validation services and how we can help you.

Have a Question?

Puneet Taneja
CPO (Chief Planning Officer)

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