How to Sync Data from Redshift to Amplitude Analytics? | 2 Easy Steps

• June 21st, 2022

Redshift to Amplitude Analytics - Featured Image

Many businesses want to take advantage of Amazon Redshift’s ability to perform complex analytical queries over petabytes of data, and they must load data from Amplitude and other applications to the Amazon Redshift service for centralized storage and data analysis, here’s why connecting Redshift to Amplitude Analytics is all in!

Amazon Redshift is the fastest cloud data warehouse in the world. It provides best-in-class performance, speed, and efficiency when handling large analytical workloads. Amplitude is a multi-platform business intelligence solution designed for modern product and growth teams that also enable business owners to use consumer data to create exceptional product content that drives long-term business success.

This article will walk you through two easy steps to connect Amazon Redshift to Amplitude Analytics. It will also introduce you to Amazon Redshift and Amplitude. Continue reading to learn exactly how to connect Redshift to Amplitude Analytics.

Table of Contents

Prerequisites

  • The S3 bucket name and the prefix that Amazon AppFlow will use
  • Your Amazon Redshift account’s user name and password.
  • Your Amazon Redshift cluster’s JDBC URL.

What is Amazon Redshift?

Amazon Redshift Logo - Redshift to Amplitude Analytics
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Amazon Redshift is a Cloud Data Warehouse service provided by Amazon Web Services (AWS) that allows users to store and analyze business data. It is a data storage device that provides fast query performance. Amazon Redshift is a fully managed Data Warehouse solution capable of handling petabytes of data and performing real-time analysis to generate insights.

Amazon Redshift is column-oriented and stores data in a columnar format, as opposed to traditional databases that store data in a row format. Amazon Redshift is a column-oriented database that stores data in a columnar format as opposed to traditional databases that store data in a row format.

Key Features of Amazon Redshift

The following are some of Amazon Redshift’s key features:

  • Processing in Massive Parallelism: MPP is used by Amazon Redshift to provide high performance. It distributes tasks or data across multiple nodes and performs the same operations as compute distribution.
  • Data Exchange: Amazon Redshift enables users to save money and improve performance by transferring data from a single cluster to multiple clusters.
  • Fault-Tolerant: Amazon Redshift continuously monitors the cluster’s health. It automatically replicates data regularly to prevent data loss in the event of a disaster.
  • End-to-End Security: Amazon Redshift uses AES-256 encryption and SSL to ensure data security and protection.

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With Hevo Activate, you can empower business teams with 360° customer profiling — sync customer and product usage data available in Data Warehouses, such as Amazon Redshift, Snowflake, and BigQuery, to most common Business Applications like Salesforce, Google Sheets, HubSpot, and Intercom, etc., in a hassle-free & effortless manner.

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What is Amplitude Analytics?

Amplitude Logo: Redshift to Amplitude Analytics
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Amplitude Inc is an American public company that focuses on analytics products such as Amplitude Analytics, Amplitude Recommend, and Amplitude Experiment, which it refers to as a Business Digital Optimization System.

Amplitude Analytics is a powerful Analytics Solution designed to meet the needs of today’s product and growth teams, with cross-platform tracking, real-time analytics, solid behavioral analytics, enterprise-level security measures, and dependable customer support.

Key Features of Amplitude

Here are some following features:

  • Real-time Analytics: It enables businesses to begin tracking the real-time performance of new product features such as retention, funnels, revenue analysis, and flexible user segmentation.
  • Microscope: This allows you to examine the user behavior underlying any data point. You can also compare the behavior of engaged versus churned users.
  • Growth Discovery Engine: Aids in the prediction of behaviors that predict conversation or retention, resulting in exponential user growth.
  • Reporting and Dashboarding: It provides a diverse set of in-built dashboard templates, and visualization functionalities such as charts, graphs, and so on, allowing teams to create informative and unique business reports and dashboards.

Why does Connecting Redshift to Amplitude Analytics make sense?

One major decision in the life of any company, particularly one with a strong engineering team, is whether to purchase or build an analytics platform. In some cases, the desire to build everything yourself appears almost religious — but that doesn’t suffice the storage. Most companies underestimate the resources and time that they need to put on analytics hence dumping data, causing a major hurdle while accessing, hence connecting these platforms can give numerous benefits in using an analytics provider for your infrastructure.

  • Efficient data structuring and storage: Almost all of the solutions have an MPP (Massively Parallel Processing) architecture, which means your data and queries are distributed across all of your nodes for the most efficient storage and processing.
  • Managed/Licensed Data Warehouse option: Rather than purchasing a license and configuring the warehouse on our cloud or on-premise servers, you can simply create an account and get started with these fully managed services. Developers can work on streamlining the ETL pipeline and optimizing the data-processing infrastructure for faster query speeds now that server management is out of the way.
  • The “SQL” Standard: On the other hand, Redshift employs industry-standard SQL and is built on PostgreSQL 8.0.2. There are some minor differences between Amazon Redshift SQL and PostgreSQL, the majority of which are intended to make Redshift better at querying large data sets.  Because SQL is already widely used by engineers and analysts, it made sense to provide our customers with data that they could query using familiar methods. The Query semantics are exactly what the users expect, and they wouldn’t need to learn a new language as they are adapted to it.

Connecting Amazon Redshift to Amplitude Analytics

The following gives you the connection instructions for using Amplitude with Amazon AppFlow to connect Redshift to Amplitude Analytics.

If you’re wondering why Appflow, here’s why: AWS AppFlow is a codeless integration for business users that allows non-technical users to connect siloed data sources. Using streaming, trigger, or batch uploads, AppFlow sends events between endpoints. This connectivity enables business users to send data code-free to and from separate data sets.

Note: Before diving into Connecting Redshift to Amplitude Analytics, you must provide Amazon AppFlow with the API key and secret key for the project containing the data to be transferred. Your API key can be found on the Amplitude dashboard’s Settings page. See Settings in the Amplitude documentation for more information on how to retrieve this information from Amplitude.

Step 1: Setting up Redshift Appflow

  • Open Amazon Redshift and access the Amazon AppFlow console.
  • Select Create flow
  • Enter a name and description for the flow in Flow details.
  • Select Next.
  • To open the Connect to Amazon Redshift dialog box, select Connect.
  • Enter your access key ID under JDBC URL.
  • Select the S3 bucket where Amazon AppFlow will write data before copying it under Bucket details.
  • Select the IAM role that you created when you set up Amazon Redshift for Amazon S3 access under Role.
    • Enter the user name you use to log into Amazon Redshift under the User name.
    • Enter the password you use to log into Amazon Redshift under Password.
    • Enter your AWS KMS key under Data encryption.
    • Enter a name for your connection under the Connection name.
  • Select Connect.
Redshift to Amplitude Analytics - Appflow to Redshift configuration
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Hevo Activate, the Reverse-ETL platform, automates the manual data enrichment job, directly syncing data to the destination of your choice in real-time. Unify customer & product data from data warehouses such as Amazon Redshift, Snowflake, and BigQuery to SaaS Software such as Salesforce, Google Sheets, HubSpot, and Intercom, etc., in a hassle-free & automated manner.

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  • No APIs, CSVs, Just SQL!: Use the powerful and smart SQL Query Editor to filter and transform data from your data warehouse table to a Target object. The in-built validation checks ensure each query is validated before you save it.
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  • Data Transformation: Hevo Activate provides a simple interface to perfect, modify, and enrich the data you want to transfer. 
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Step 2: Configuring AWS Appflow

  • Access the Amazon AppFlow console.
  • Select Create flow
  • Enter a name and description for the flow in Flow details.
  • Select Amplitude from the dropdown list of Source names
  • Select Connect to Amplitude from the dialog box.
    • Enter your API key under the API key.
    • Enter your secret key under Secret key.
    • Enter your AWS KMS key under Data encryption.
    • Enter a name for your connection under the Connection name.
  • Select Connect.
Redshift to Amplitude Analytics - Connecting to Amplitude
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You’ll be taken to the Amplitude login page. Allow Amazon AppFlow access to your Amplitude account.

After connecting to your Amplitude account, you can proceed with the flow creation steps outlined in Getting Started with Amazon AppFlow.

Benefits of Connecting Redshift to Amplitude Analytics

Here are some benefits of Connecting Redshift to Amplitude Analytics:

  • By connecting Amazon Redshift to Amplitude Analytics you can conduct cross-platform analytics to better understand user behavior across platforms.
  • The real-time behavioral analysis can be provided by a 360-degree view of your customer data which can be accessed from the DW.
  • You can analyze event data to learn about user engagement with your product.
  • You can get simple, real-time reports on critical business metrics like conversions and retention rates.
  • You can Identify unique users and capture traits unique to them before securely sending them to Amplitude.
  • Keeping track of web pages visited, user activities, and so on for better behavioral analysis.

Conclusion

You can sync data from Redshift to Amplitude Analytics and leverage the latest data science and business intelligence trends to better understand your customers and develop product features that appeal to them. Finally, the Redshift to Amplitude Analytics data sync assists you in increasing customer engagement and retention while also driving new streams of business revenue.

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