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Adjust-to-Snowflake-Made-Easy | Saras Analytics
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Adjust to Snowflake – Made Easy

6 minutes read

eCommerce

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Connect Adjust to Snowflake in minute

Are you looking for a quicker transfer of data from Adjust to Snowflake? Here is an easy solution for this data migration process using an ETL tool: Daton.

Modern eCommerce businesses are taking a data-driven approach. Digitalization demands them to stay ahead of their competition and make informed business decisions utilizing data. Companies use mobile measurement platforms like Adjust for powerful mobile ad campaigns. Adjust is a fully automated and preventative solution against mobile ad fraud. It prevents click fraud from affecting your valuable data and budget in mobile ads. Ecommerce companies that sell globally often have separate ad accounts for each country, creating various data silos. Extracting these data from these accounts for effective reporting and comprehensively analyzing the entire business data becomes challenging. Data Savvy eCommerce businesses always replicate data from all sources into a cloud data warehouse like Snowflake to reduce efforts on analysis and reporting.

Why integrate Adjust to Snowflake?

Adjust marketing platform produces data such as mobile app performance, cross-channel attribution, hyper-engagement, click spam, user engagement, click injection, IP address monitoring, and audience targeting. Mobile ads do not return a better revenue, mostly due to a lack of specific data. Collect more data from different sources and use it in your mobile marketing campaigns to deliver personalized ads. If you replicate Adjust data in the same cloud data warehouse as your sales, marketing, and support data, it will help you get an exact idea of your mobile marketing campaigns.

Manual data integration is difficult and time-consuming. So, modern businesses use a cloud data pipeline and data warehouse like Snowflake to consolidate all the data. Daton is an automated cloud data pipeline that easily fetches data from Adjust into Snowflake without coding.  It will enable you to make the most of Adjust Snowflake connector by offering deeper insights into your mobile marketing.

Adjust Overview

Adjust is a mobile marketing platform used by mobile app marketers. This mobile attribution modeling solution offers powerful tracking marketing channels and source attributing for the customers. Adjust allows users to analyze client app events using different tools. The platform offers measurement, cybersecurity, fraud prevention, and marketing automation products. Each tool aims at making mobile marketing simpler, smarter, and more secure. Over 50000 companies use Adjust to optimize mobile marketing campaigns better.

Snowflake Overview

The Snowflake platform enables users to have a petabyte database and an infinite computation scale without database management. You can only extract data from Snowflake through SQL query operations. Snowflake’s cloud data platform breaks down barriers that prevent organizations of various sizes from producing actual value from their data. Thousands of users leverage Snowflake to advance their companies beyond their ability by drawing all their relevant insights from all data generated by the business. Snowflake gears up enterprises with a single, integrated platform that is the only cloud-built data warehouse. It is instant, secure, and has controlled access to its entire data network. A core architecture also facilitates various data workloads, including a framework to build modern data applications. Snowflake manages all aspects of data storage: organization, metadata, structure, compression, and statistics.

How to replicate Adjust to Snowflake?

You can load data from Adjust to Snowflake data warehouse in two ways.

Build Your Own data pipeline

Building an in-house data pipeline needs a lot of experience, time, and manpower, with higher chances of errors. You need to extract data using Amazon APIs & then connect it properly with the Amazon Redshift data warehouse.

Use Daton to integrate Adjust & Amazon Redshift

Using Daton to integrate Adjust & Amazon Redshift is the fastest & easiest way to save your time and effort. Leveraging a cloud data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent.

Configuring data integration on Daton only takes a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Adjust data in a few hours. Daton’s simple and easy-to-use interface enables analysts and developers to use UI elements to configure data replication from Adjust data into Amazon Redshift.

Daton takes care of:

  • Authentication
  • Rate limits,
  • Table creation, deletion & reloads
  • Refreshing access tokens,
  • Sampling,
  • Historical data load,
  • Incremental data load,
  • Notifications and many more important features help analysts focus on analysis rather than worry about the data.

Steps to Integrate Adjust with Daton

Daton - The Data Replication Superhero

For more information on Adjust Data Connector, you can visit the linked article.

  • Sign in to Daton
  • Select  from the Integrations page
  • Provide Integration Name, Replication Frequency, and History. The integration name would be used in creating tables for the integration and cannot be changed later
  • You will be redirected to Adjust login for authorizing Daton to extract data periodically
  • Post successful authentication, you will be prompted to choose from the list of available Adjust Ad accounts
  • Select required tables from the available list of tables
  • Then select all required fields for each table
  • Submit the integration

Here are more reasons to explore Daton for Adjust to Snowflake Integration

  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.
  • Faster Integration of Adjust to Snowflake– Adjust to Snowflake is one of the integrations Daton can handle very fast and seamlessly. You can easily connect Adjust to the snowflake by following a few steps.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead on analysis and insights!
  • Robust Scheduling Options: this allows you to schedule jobs based on their requirements using a simple configuration step.
  • Enterprise-grade encryption gives your peace of mind.
  • Support for 100+ data sources – In addition to Adjust, Daton can extract data from various sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more. Daton will ensure that you have a way to bring any data to Snowflake and generate relevant insights.
  • You get an enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your demands increase.
  • Support all major cloud data warehouses, including Snowflake, Google Bigquery, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more.
  • Flexible loading options allow you to optimize data loading behavior to maximize storage utilization and ease of querying.
  • What is Adjust, and why is it essential for eCommerce businesses?
    Adjust is a mobile measurement platform used by eCommerce businesses for powerful mobile ad campaigns. It provides fully automated and preventative solutions against mobile ad fraud, such as click fraud, which affects valuable data and budget. It also offers mobile app performance, cross-channel attribution, hyper-engagement, click spam, user engagement, click injection, IP address monitoring, and audience targeting data. Adjust helps businesses to stay ahead of their competition by making informed decisions by exploiting data and taking a data-driven approach.
  • What is Snowflake, and why should businesses replicate Adjust data in it?
    Snowflake is a cloud-built data warehouse that offers infinite computation scale and enables businesses to have a petabyte database. It breaks down barriers that prevent organizations of all sizes from producing actual value from their data. Snowflake offers a single, integrated platform that manages all aspects of data storage. Businesses should replicate Adjust data in Snowflake to reduce efforts on analysis and reporting by consolidating all data from all sources into a cloud data warehouse. It helps to deliver personalized mobile ads by collecting more data from different sources.
  • Why should businesses integrate Adjust to Snowflake?
    Businesses should integrate Adjust to Snowflake for easy and quick transfer of data from the former to the latter. Manual data integration is difficult and time-consuming, whereas an automated cloud data pipeline like Daton can easily fetch data from Adjust into Snowflake without coding. By integrating Adjust to Snowflake, businesses can get deeper insights into their mobile marketing campaigns, and this saves time and effort.
  • How can businesses replicate Adjust data in Snowflake using Daton?
    Businesses can replicate Adjust data in Snowflake using Daton by configuring data integration on Daton with just a few clicks. They need to sign in to Daton, provide the integration name, replication frequency, and history, authenticate with Adjust login, select required tables and fields, and submit the integration. Daton automatically takes care of all the data replication processes and infrastructure with no infrastructure to be managed or no code to be written.
  • What are the benefits of using Daton for Adjust to Snowflake integration?
    Daton reduces effort and eliminates maintenance by automatically taking care of all the data replication processes and the infrastructure. It ensures faster integration of Adjust to Snowflake by handling the integration fast and seamlessly. Daton offers a data consistency guarantee and a friendly customer support team to leave the data engineering to Daton and focus instead on analysis and insights.
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