Integrate Google Drive to Redshift in Minutes: 2 Easy Steps

on Amazon Redshift, Data Integration, Data Pipeline, Data Warehouse, ETL, Google Drive • June 3rd, 2022 • Write for Hevo

Google Drive to Redshift - Featured Image

With the explosion of data, 2.5 quintillion bytes of data are generated every day. This massive volume of data is dispersed across several systems and applications. Companies desire to consolidate this information into a single place or warehouse for quick access and analysis. This data must be compiled in a robust and scalable Data Warehouse like Redshift to understand the business operations comprehensively.

By replicating your data from Google Drive to Redshift, you can ensure that all of your vital data is in one location. Bringing your critical sales, marketing, and customer data from Google Drive to Redshift is essential to establishing a solid analytical infrastructure. Redshift can handle large data volumes with ease for businesses that are used to accessing transactional databases. Queries with millions (or billions) of entries deliver results in milliseconds rather than minutes or hours.

Continue reading to learn how to link data from Google Drive to Redshift in minutes.

Table of Content

Prerequisites

  • A Google Account
  • Amazon Redshift Account

Why Does Data Need to be Replicated From Google Drive to Redshift?

Replicating your data from Google Drive to the Redshift Data Warehouse enhances SQL query efficiency and creates unique real-time reports and dashboards. Integrating your Google Drive data with Redshift helps break down data silos and offers a unified view of your organization. You may then use BI and analytics tools to generate data visualizations and dashboards from your data to extract and communicate actionable insights. You may not only automate internal procedures using Google Drive Redshift integration, but you can also obtain insight into meaningful analytics and automate tiresome chores to serve your consumers better.

Introduction to Google Drive

Google Drive to Redshift: Google Drive Logo | Hevo Data
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Google Drive is a Cloud Storage Service that allows you to store files online and access them from any smartphone, tablet, or computer connected to the Internet. Compared to competitors such as DropBox and Apple’s iCloud service, Google Drive’s success has been founded on functional collaboration capabilities and built-in synergies with Google’s product – and service suite.

Google Drive is a free service that allows users to manage and share information personally and professionally. Google Drive is popular among businesses because of its easy interface, reliability, and security, all of which come at a reasonable cost. By combining Google Drive with other Google products, you can also utilize free Web-Based tools to create Documents, Spreadsheets, Presentations, and more.

Google Drive to Redshift: Google Drive Architecture | Hevo Data
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Key Features of Google Drive

  • Work Offline: You can operate offline after activating Offline mode, even if you don’t have an internet connection.
  • Easy to Use Interface: When you sign in to your Google Drive account, you’ll find your most recent papers at the top of the screen, as well as a list of all your folders and simple navigation on the left that allows you to access all documents shared outside of your drive.
  • Personalization and Sharing: Each file or folder in Google Drive has its Share Link, and you may offer other users access to personalize the content.
  • Security: According to Google, Google Drive is also protected by the same SSL encryption used in Gmail and other Google Services.
  • Gmail Attachments Should Be Saved: Saving attachments from emails is one of Google Drive’s most popular services. It’s simple to save photos or attachments to Drive when you get an email containing them. After you save it, click the Attachment symbol in Gmail to transfer it to any folder on the drive.

Replicate Data in Redshift in Minutes Using Hevo’s No-Code Data Pipeline

Hevo Data, a Fully-managed Data Pipeline platform, can help you automate, simplify & enrich your data replication process in a few clicks. With Hevo’s wide variety of connectors and blazing-fast Data Pipelines, you can extract & load data from 100+ Data Sources such as Google Drive straight into your Data Warehouse such as Redshift or any Databases. To further streamline and prepare your data for analysis, you can process and enrich raw granular data using Hevo’s robust & built-in Transformation Layer without writing a single line of code!

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Introduction to Amazon Redshift

Google Drive to Redshift: Redshift Logo | Hevo Data
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AWS Redshift is a cloud-based Data Warehousing and Analytics service provided by AWS, Amazon Web Services, the tech giant’s cloud-computing division. Users of AWS Redshift may upload and handle massive volumes of data.

Amazon Redshift provides consumers and businesses with a platform for analyzing data to obtain new insights into their operations by offering a nearly endless data storage option. The cost of AWS Redshift increases in proportion to the amount of space requested. This implies that if users need additional space as they expand, they may get it right now because AWS Redshift is cloud-based, so we can quickly scale it up.

Redshift’s architecture implies that it is designed to examine your data quickly. This is accomplished by employing Massively Parallel Processing (MPP). It also utilizes Machine Learning and results caching to ensure less than a second query response speeds.

The simplicity of use of Redshift is one of its main draws for users. It may be developed via the AWS interface or through its API. Backups and copying are automated, which improves usability even further. End-to-end encryption is also used in Redshift to keep user data safe. Users can also isolate their data over a virtual network for added security.
Click here to know more about Amazon Redshift.

Google Drive to Redshift: Redshift Architecture | Hevo Data
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Key Features of Amazon Redshift

  • Faster Performance: Amazon Redshift provides rapid query speed on datasets ranging from gigabytes to exabytes in size. To decrease the amount of I/O required to conduct queries, Redshift employs columnar storage, data compression, and zone maps. It uses Massively Parallel Processing (MPP) Data Warehouse architecture to parallelize and distribute SQL operations to utilize all available resources. The underlying technology is optimized for high-performance data processing, with locally connected storage maximizing throughput between CPUs and drives and a high-bandwidth mesh network maximizing throughput between nodes.
  • Easy to Set Up: Amazon Redshift is easy to set up and use. With a few clicks on the Amazon Web Services Management cConsole, you can install a new Data Warehouse, and Redshift will supply the infrastructure for you. Most administrative tasks, such as backups and replication, are automated, allowing you to concentrate on your data rather than the administration. When it comes to controlling, Redshift offers solutions to assist you in making modifications according to your workloads. New capabilities are openly delivered, reducing the need to plan and perform updates and fixes.
  • Flexible Querying: Amazon Redshift allows users to run queries directly from the console or connect their favorite SQL client tools, libraries, or business intelligence tools. The Amazon Web Services console’s Query Editor provides a robust interface for running SQL queries on Redshift clusters and displaying the query results and query execution plan (for queries run on compute nodes) adjacent to your queries.
  • Fault-Tolerant: Amazon Redshift has several capabilities that improve the dependability of your Data Warehouse cluster. Redshift continually monitors the cluster’s health, automatically replicating data from failing disks and replacing nodes as needed for fault tolerance.
  • Scalability: Amazon Redshift is easy to use and grows fast as your needs evolve. You may quickly modify the number or type of nodes in your Data Warehouse with a few clicks in the console or a simple API call and scale up or down as your needs change.

Methods to Set Up Google Drive to Redshift Integration

Method 1: Building an ETL Pipeline to Set Up Google Drive to Redshift Integration

Step 1: Extracting Google Drive Data as CSV

  • Open the Google Drive file that you want to load to Amazon Redshift.
  • In the top left corner, select File.
  • Select Comma-Separated Values (.csv) from the ‘Download As’ menu.
  • After that, the data will be exported to CSV and downloaded to your local machine. The same procedure may be used to import data from several Google Drives to Redshift.

Step 2: Loading Data to Amazon RedshiftFollow the below steps to load their data from Google Drive to Redshift:

Google Drive to Redshift: Amazon S3 | Hevo Data
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  • Choose an excellent unique name for your AWS S3 Bucket, choose a region, and click Create.
Google Drive to Redshift: Amazon S3 Bucket | Hevo Data
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  • Open the AWS S3 Bucket you just established, click on Create Folder, give it a suitably unique name, and save it.
Google Drive to Redshift: Amazon S3 Create Folder | Hevo Data
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  • Upload the previously exported Google Drive CSV data to the newly formed folder by clicking Upload and choosing the relevant files in the Upload Wizard.
  • Using the COPY Command, data from Amazon S3 may be imported into Amazon Redshift Cluster.
  • Connect to the Cluster with your preferred SQL Workbench tool and perform the following query:
COPY table_name 
FROM 's3://<your-bucket-name>/load/file_name.csv' 
credentials 'aws_access_key_id=<Your-Access-Key-ID>' 
CSV;
  • You may additionally request that the file header rows in the CSV files be ignored by performing the following query:
COPY table_name 
FROM 's3://<your-bucket-name>/load/file_name.csv' 
credentials 'aws_access_key_id=<Your-Access-Key-ID>' 
CSV
IGNOREHEADER 1;
  • In your Amazon Redshift database, your data should now be available and queryable.

What Makes Hevo’s ETL Process Best-In-Class?

Providing a high-quality ETL solution can be a difficult task if you have a large volume of data. Hevo’s automated, No-code platform empowers you with everything you need to have for a smooth data replication experience.

Check out what makes Hevo amazing:

  • Fully Managed: Hevo requires no management and maintenance as it is a fully automated platform.
  • Data Transformation: Hevo provides a simple interface to perfect, modify, and enrich the data you want to transfer.
  • Faster Insight Generation: Hevo offers near real-time data replication so you have access to real-time insight generation and faster decision making. 
  • Schema Management: Hevo can automatically detect the schema of the incoming data and map it to the destination schema.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources (with 40+ free sources) that can help you scale your data infrastructure as required.
  • Live Support: Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
Sign up here for a 14-day free trial!

Method 2: Using Hevo Data to Set Up Google Drive to Redshift Integration

Hevo Data is a No-code Data Pipeline platform that automates the direct transfer of data from 100+ data sources (40+ free sources) to Amazon Redshift and other Data Warehouses, BI tools, or any other desired destination. Hevo completely automates the process of not just importing data from your chosen source but also enriching and transforming it into an analysis-ready format, all without requiring you to write a single line of code. Because of its fault-tolerant architecture, data is handled safely and consistently, with no data loss.

Hevo Data covers all of your data preparation requirements, allowing you to concentrate on core business activities and better know how to generate more leads, sustain client retention lifecycles, and expand your company to new heights of profitability. It offers a consistent and stable solution for real-time data management, guaranteeing that analysis-ready data is always available at your selected location.

The steps to import data from Google Drive to Redshift using Hevo Data are as follows:

Step 1: Connect your Google Drive account to Hevo. Hevo has an integrated Google Drive interface that allows you to connect to your account in minutes.
Step 2: Select Amazon Redshift as your destination and begin data transfer.

Conclusion

This article provides an overview of Google Drive and Amazon Redshift and a description of their most essential features. It also detailed the two methods for moving data from Google Drive to Redshift. The manual data replication method from Google Drive to Redshift would take a lot of time and resources, making it a time-consuming and tiresome process. But, with the help of a data integration solution like Hevo, it can be done quickly and with little effort.

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Hevo Data is a No-code Data Pipeline that can transport data in real-time from 100+ data sources (including 40+ free sources) to a Data Warehouse, BI Tool, or any other destination of your choosing. It is a strong, fully automated, and safe solution that requires no coding!

If you use CRMs, Sales, HR, or Marketing technologies and want a no-hassle alternative to manual data integration, Hevo can easily automate data integration. Hevo’s excellent integration with 100+ data sources (including 40+ free sources) and BI tools enable you to convert and enhance data in real-time, preparing it for analysis.

Want to take Hevo for a ride? SIGN UP for a free 14-day trial to streamline your data integration process. Check out  the price information to determine which plan meets your business’s requirements.

You may share your learning experience about Integrating Google Drive to Redshift in the comments section below.

No-Code Data Pipeline for Ingesting Data in Redshift