One technology that has become pivotal for any organization in today’s world is Node.js. Node.js is a serverless, Open-Source environment that runs JavasScript-based scripts to build scalable applications. Along with Node.js, finding the correct ETL (Extract, Transform and Load) tool for your business is essential as they help you unify and enrich data from numerous data sources, allowing you to carry out an insightful analysis & gain actionable insights.
Table of Contents
- Understanding the ETL Process
- Introduction to Node.js
- Working knowledge of SaaS applications.
- Working knowledge of Open-Source and Cloud Environments.
Understanding the ETL Process
The Modern Data Analytics Stack leverages the ETL process to extract data from data sources such as Social Media Platforms, Email/SMS services, Customer Service Platforms, Surveys, and a lot more to help gain valuable and actionable customer insights or to store the data in Data Warehouses. The ETL process consists of 3 steps:
- Extraction: Extraction is an essential part of the ETL process as it helps unify Structured and Unstructured data from a diverse set of data sources such as Databases, SaaS applications, files, CRMs, etc. Extraction Tools simplify this process by allowing users to extract valuable information in a matter of a few clicks. All this is done without having to write any complex code.
- Transformation: Transformation is the process of converting the extracted data into a common format so that it can be better understood by a Data Warehouse or a BI (Business Intelligence) tool. Some transformation techniques include Sorting, Cleaning, Removing Redundant Information, and Verifying the Data from data sources.
- Loading: Loading is the process of storing the transformed data into a destination, normally a Data Warehouse, and also supports analysis of the data using various BI tools to gain valuable insights and build reports and dashboards. The Loading stage is crucial as the customer data is visualized using different BI tools after this stage.
The given figure highlights the stages of the ETL process:
Its completely automated Data Pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.
Check out why Hevo is the Best:
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
Simplify your Data Analysis with Hevo today! Sign up here for a 14-day free trial!
Introduction to Node.js
To learn more about Node.js, click this link.
Nextract is an ETL Tool built on Node.js Streams and is designed by Github contributor Chad Auld. It is suited for beginner and mid-level programmers. The main goal of Nextract is to help developers make their work easier by using the flexible and asynchronous nature of the Node.js runtime environment as compared to other Java-based ETL Tools.
To learn more about Nextract, click this link.
Datapumps supports ETL processes such as Data Transformation, Encapsulation, Error Handling & Debugging. One limitation of Datapumps is that they cannot perform the ETL processes on their own and can only pass data in a controlled manner. To make it efficient you can add “mixins”. Mixins help import, export, and transfer your data. Currently, Datapumps support 10 types of mixins.
To learn more about Datapumps, click this link.
To learn more about ETL, click this link.
Empujar is a Node.js Open Source ETL Tool that helps extract data and perform backup operations. It is developed by TaskRabbit and takes advantage of Node.js’s asynchronous behavior to run data operations in series or parallel. It uses a Book, Chapter, and Page format to represent data. Top-level objects are known as Books and they contain sequential Chapters with Pages that can run in parallel up to a limit that you can set.
This tool integrates with different types of databases including MySQL, FTP, S3, Amazon Redshift, and many more.
To learn more about Empujar, click this link.
This tool also houses API reference pages that explain how to write scripts and create drivers.
To learn more about Extraload, click this link.
- Enterprise Application Connectivity: Companies are not able to connect a few of their applications with Node.js Open Source ETL Tools due to compatibility reasons.
- Management & Error Handling Capabilities: Many Open-Source ETL Tools are not able to handle errors easily due to their lack of error handling capabilities.
- Large Data Volumes & Small Batch Windows: Many Node.js Open Source ETL Tools need to analyze large data volumes but can process the data in small batches only. This is because many of these tools are Command-Line Interfaces and need both the power of Node.js and the ETL tool to function effectively.
- Complex Transformation Requirements: Companies that have complex transformation needs cannot use Node.js Open Source ETL Tools. This is because they often lack support for performing complex transformations.
- Lack of Customer Support Teams: As Open-Source ETL Tools are managed by communities and developers all around the world, they do not have specific customer support teams to handle issues.
- Poor Security Features: Being Open-Source causes these tools to have poor security infrastructure and become prone to many cyber attacks.
In case you want to integrate data into your desired Database/destination, then Hevo Data is the right choice for you! It will help simplify the ETL and management process of both the data sources and the data destinations.
Want to take Hevo for a spin? Sign up here for a 14-day free trial and experience the feature-rich Hevo suite first hand.