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RDSSQL to Amazon Redshift – Made Easy

6 minutes read

Modified on July 31, 2022

eCommerce

Do you want a quick and simple way to transfer data from RDSSQL to Amazon Redshift? If yes, then you can migrate your data with an efficient ETL tool: Daton.

Modern Businesses need to use their data to stay ahead of increasing competition and make data-driven decisions. Data generated from various tools used for automating operations require fast and secured storage. Unfortunately, building and maintaining a scalable and secure physical storage solution is quite expensive. So, the companies resort to cloud servers like Microsoft SQL. But managing, replicating, and extracting data from these servers is complicated. Hence web services like Amazon RDS have made a solution for managing SQL. RDSSQL provides seamless control on your SQL server.

Data-savvy organizations try to reduce the time & effort of reporting and analyzing multiple data silos from multiple servers, databases, and apps. They use ETL tools like Daton to load data from these servers to data warehouses like Amazon Redshift, where you get an integrated view for faster and more accurate reporting.

Why integrate RDSSQL to Amazon Redshift

Nowadays, enterprises use web services like Amazon RDS servers to manage their databases. It will help to set up and maintain SQL databases, especially when multiple teams work in offices around the world. The databases will be automatically replicated, and backed up by secure servers, reducing data theft and loss. To simplify data analysis and reporting, merge data from RDSSQL with other databases like Amazon Aurora, sales sheets, and COGS. However, manual data consolidation takes much time to execute manually, and the reports are often inaccurate. Thus, data-savvy companies resort to ETL tools like Daton to replicate RDSSQL to Amazon Redshift. It is a highly automated ETL Tool that easily migrates data from different data sources to cloud data warehouses without coding.

RDSSQL Overview

Amazon Relational Database Service (Amazon RDS) is a web service that enables users to manage a relational database in the AWS Cloud. It is optimized for I/O-intensive, transactional (OLTP) database workloads. The cost-efficient server with resizable capacity is used for common database administration tasks. Amazon RDSSQL supports DB instances running several versions and editions of Microsoft SQL Server. Amazon RDS for SQL Server allows the “License Included” model that includes software, underlying hardware resources, and Amazon RDS management capabilities. You can also take advantage of hourly pricing with no upfront fees or long-term commitments. Amazon RDS for SQL Server DB Instances can come with either standard or Provisioned IOPS storage. The Provisioned IOPS is a storage option for faster delivery and consistent I/O performance.

Amazon Redshift Overview

Amazon Redshift is the most popular data warehouse to offer a cloud-native, petabyte-scale service. The software provides a query engine for all users allowing SQL based querying and a host of business intelligence tools to connect with the service. Amazon Redshift is built on a scalable infrastructure, supports big data and massive workloads. The powerful management console enables connections from any SQL client. Amazon Redshift service also supports REST APIs allowing developers to work in real-time with simple API calls. It is compatible with several BI and visualization tools.

How to replicate RDSSQL to Amazon Redshift

There are two ways in which you can replicate RDSSQL to Amazon Redshift.

Build Your 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 RDSSQL APIs & then connect it properly with the Amazon Redshift data warehouse.

Use Daton to integrate RDSSQL & Amazon Redshift – Using Daton to integrate RDSSQL & Amazon Redshift is the fastest & easiest way to save your time and efforts. Leveraging an eCommerce data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent.

Configuring data replication on Daton only takes a few minutes and a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon ads data in a few hours. Daton’s simple and easy to use interface allows analysts and developers to use UI elements to configure data replication from RDSSQL 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 functions for data analysts to focus on analysis rather than worry about the data replication process.

Steps to Integrate RDSSQL with Daton

Sign in to Daton
Select RDSSQL from Integrations page

Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later

You will obtain redirects to RDSSQL login for authorizing Daton to extract data periodically

Post successful authentication, you will get prompts to choose from the list of available RDSSQL 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 RDSSQL to Amazon Redshift Integration

Faster Integration of RDSSQL to Amazon Redshift– RDSSQL to Amazon Redshift is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect RDSSQL to Amazon Redshift.
Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.

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.

Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of analysis and insights!

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 for all major cloud data warehouses including Google BigQuery, Amazon Redshift, Snowflake, Oracle Autonomous Data Warehouse, PostgreSQL and more.

Flexible loading options allows to you optimize data loading behavior to maximize storage utilization and easy of querying.

Enterprise grade encryption gives your peace of mind

Support for 100+ data sources – In addition to RDSSQL, Daton can extract data from a varied range of 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 Amazon Redshift and generate relevant insights.

For all sources, check our data connectors page.

Other Articles by Saras Analytics,

Amazon RDS is also known as Amazon Relational Database Service or Amazon RDSSQL, a web service. To manage a relational database in the AWS Cloud by users, Amazon RDS helps enable users to manage this. Amazon Web Services of Amazon is the developer of this Amazon RDS. Amazon Relational Database Service is optimized for I/O intensive, OLTP, or transactional database workloads. Amazon RDSSQL supports several versions of running DB instances and Microsoft SQL Server's editions. For SQL Server, Amazon RDS allows the model named "License Included," which is included software, underlying hardware resources, and management capabilities of Amazon RDS. You can take advantage of hourly pricing without any upfront fees or long-term commitments. Amazon RDS can also come with standard IOPS storage for SQL Server DB Instances. Either it can come with provisioned IOPS storage, which is the storage option that gives faster delivery and the consistent performance of I/O.

Amazon Redshift is a data warehouse that is most popular for offering a cloud-native, petabyte-scale service. This software provides a query engine for all users to allow SQL-based querying and host business intelligence tools for connecting with the service. Amazon is the developer of Amazon Redshift. It is used SQL for analyzing the structure and semi-structure data across the data warehouse; also, using AWS hardware and machine learning is designed to deliver the performance within the best price at any scale. Amazon Redshift is built on a high-quality infrastructure that supports big data and huge workloads. Enables connections are consoled from any SQL client by its powerful management of it. Also, Amazon Redshift service supports REST APIs to allow developers to work in real-time with the simple calls of API. With many various BI and visualization tools, it is compatible.

The two ways are building your data pipeline and Using Daton to integrate RDSSQL and Amazon Redshift. Build a Data Pipeline of Yours: - Building an in-house data pipeline requires a lot of experience, time, and manpower, which has higher chances of errors. By using RDSSQL APIs, you need to extract data, and then with the Amazon Redshift data warehouse, and you can connect it properly. Use Daton: - To integrate RDSSQL and Amazon Redshift, you need to use Daton, which is the fastest and easiest way also, which helps to save your time and money. By Daton, it takes a few minutes and a few clicks to configure data replications. Though analysts do not need to write any code or manage any infrastructure, they can still access their ads data on Amazon within a few hours. Daton is a simple and easy-to-use interface that uses UI elements analysts and developers to configure the data replication from RDSSQL data into Amazon Redshift.

Daton is an ELT tool used for data migration by extracting the data from all apps, loading the data into a destination of your proffered clouds, and transforming your data warehouse data. For extraction, Daton automates a secure extraction of data from all the apps, databases, files, and marketplaces that power your business. Daton, by your choice of a cloud, consolidates data into that cloud for loading. For transforming, Daton transforms your data warehouse's data to become ready for analytics. Daton handles authentication, rate limits, table creation, deletion, historical data load, notifications, and many more things that are there, which are taken care of by Daton. For data analytics and many more essential functions, Daton focuses on analysis. For the niche and depth connectors, fine-tuned support and affordability of Daton makers-built Daton as though there are many data replications tools in the market, but they are not suitable to fulfill their needs of the sellers regarding data so that Daton is made, which is also very cost-effective for brands to own and as well as operationalize their data.

Daton has a comprehensive feature that gives complete peace of mind, which makes Daton unique to the users. Else, if talking about the specialty of Daton below mentioned that what makes Deton unique: Usability: Daton is a simple, easy-to-use, easy-to-understand interface, making it easier to set up the data integration within minutes. Daton is good at quickly cloning existing configurations. Also, it gives access to sharing from your app directly to Daton. Data Loading: It can control the data loadings and also can control the schema. Monitoring and Altering: It gives the notification for data delay. You can get a notification or an alert on data delay. Aside, Daton accesses job logs to troubleshoot any problem quickly. Security: It gives the facility of end–to–end encryption. Also, you can control and filter the sensitive data before it reaches your destination by using Daton. Users can get access controls. Connectors: You, as a user, can load data to any cloud data warehouse within a minute. To support all your needs for data, with the help of Daton, the new connectors can be developed in days.