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Modern No code vs Traditional ETL: What's the Difference?

Key Differences between Traditional and Modern ETL Models

Enterprises have differing needs for data processing and storage. ETL is an effective method for ensuring that data from multiple sources can be stored at a single core location for easy access and analysis within an organization. No-code ETLs revolutionize the ETL approach—offering more than traditional ETL models. Take a look.

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What is Traditional ETL?

Extraction, Transform, Load, or ETL is a systematic process for loading data sets onto different servers or systems within your enterprise. Traditional data ETL is a manual process.

Manual ETL can be implemented in your enterprise via Python scripts, spark scripts, etc. In order to run a Traditional ETL process, a skilled developer needs to write the code from scratch. This can be tedious and time-consuming.

In some cases, complex combinations of multiple programming languages may also be required. Despite being tedious to implement, the benefits of Traditional ETL are plenty:

  • Being built from scratch, traditional ETL is highly customizable
  • Customizability also ensures that data is accurate and in line with organizational objectives

What is Modern No Code ETL?

No-code ETL is a revolutionary step in the right direction in terms of efficiency and productivity for businesses of all sizes. With a dedicated no-code platform, your approach to ETL is extremely simple.

  • Enterprises do not need to build their ETL process from scratch
  • No-code ETL comes ready for implementation
  • Information pipelines are made easier with no-code
  • The UI of no-code ETL is easy to operate
  • The workflow is also easier to manage

No-code platforms are the choice for businesses that are looking to get up and running in a limited time span. By cutting out the need for skilled personnel, modern No-code ETL puts the power of programming in the hands of key decision-makers within your enterprise.

This has huge potential for reducing miscommunication and delays in the development of a dedicated ETL pipeline for businesses.

Modern No Code ETL vs Manual Traditional ETL: Major Differences for Enterprises

Different industries have different requirements for their ETL. In this section, we will take a closer look at the type of data and documents that different industries are likely to process using a dedicated ETL pipeline.

There are glaring differences in which each sector approaches traditional and no-code ETL.

Finance Industry

Documents Traditional ETL No-code ETL
  • Bank Statements
  • Financial Reports
  • Audit Reports
  • Loan Agreements
  • Contracts
  • KYC
Extraction: Custom scripts can be used to extract data directly from each document according to business-specific rules.

Transformation: Manual coding can be used for validating the data and converting it into usable formats

Loading: Data can be loaded into customized dashboards or your organization’s CRM using SQL or API connections.
Extraction: No-code ETLs can leverage built-in OCR functions to extract IDs, addresses, and other personal data from scanned and uploaded documents

Transformation: Simple rules can be used to sort and validate all customer data to fall in line with regulatory requirements.

Loading: No-code enables automatic loading into compliance tools and CRMs, maintaining accuracy across platforms.

Wealth Management

Documents Traditional ETL No-code ETL
  • Portfolio statement
  • Client Risk Profiles
  • Regulatory Filings
  • Account Statements
  • KYC Documents
  • Investment Contracts
  • Financial Statements
Extraction: Developers can create custom scripts to extract data from accounting tools, ERP systems, etc.

Transformation: Manual coding can be used to create portfolio metrics

Loading: Data can be loaded into personalized dashboards using SQL or API connections.
Extraction: No developers needed. Automatic data pull can be enabled using pre-built integrations with portfolio management tools.

Transformation: Key decision makers can directly use drag-and-drop rules to automate risk profiling, asset allocation

Loading: Auto-loading can be done using high-powered reporting tools like Power BI, Tableau, or even client communication portals.

Banks & Credit Unions

Documents Traditional ETL No-code ETL
  • Portfolio statement
  • Client Risk Profiles
  • Regulatory Filings
  • Account Statements
  • KYC Documents
  • Investment Contracts
  • Financial Statements
Extraction: Developers can create custom scripts to extract data from accounting tools, ERP systems, etc.

Transformation: This step will implement complex business rules to determine customer eligibility, interest rates, etc.

Loading: Code scripts can be developed to enable the loading of processed data into core banking and loan management systems.
Extraction: No code makes it easier to connect pre-built connectors to gather information from loan management systems or other crucial platforms automatically.

Transformation: No code makes it possible to automate validation for basic eligibility and loan scheduling.

Loading: Banking software or loan approval systems can run smoother because no code enables the automatic upload of transformed information.

Media Companies

Documents Traditional ETL No-code ETL
  • Royalty Reports
  • Advertising Contracts
  • Content Licensing Agreements
  • Production Budgets
  • Vendor Invoices
  • Sponsorship Agreements
  • Editorial Contracts
Extraction: Developers can create custom scripts that can be used to extract relevant data from spreadsheets, contracts, or API connections to relevant management systems.

Transformation: Complex rules can be manually coded to handle performance-based fees, contract terms, etc.

Loading: Custom management systems can be created to manage the different aspects that work in tandem within the media business.
Extraction: Royalty payment data, contract terms, etc., can be extracted using pre-built connectors—eliminating the need for time-consuming coding.

Transformation: Basic calculations, templates, etc., can be used to automate data transformation efficiently.

Loading: Using AI, a no-code platform can easily automate data loading into the relevant management systems for easy decision-making and tracking.

CFO’s Office

Documents Traditional ETL No-code ETL
  • Financial Statements (Balance Sheet, P&L, Cash Flow)
  • Tax Documents (e.g., 1099, W-2, VAT filings)
  • Invoices and Receipts
  • Audit Reports
  • Payroll Documents
  • Investor Reports and Presentations
Extraction: IT developers are tasked with building bulky, customized API code scripts to extract data from ERPs, Accounting software, CSV uploads, etc.

Transformation: Customized logic is used to target specific uses and needs for data. The script is developed to efficiently convert data according to compliance laws, regulations, tax laws, etc.

Loading: Custom dashboards are built to load and house the transformed data for quick retrieval. Manual inputs are needed for the load and retrieval of data.
Extraction: Automatic integrations can be programmed to seamlessly extract data from accounting tools like NetSuite, Quickbooks, etc.

Transformation: Drag-and-drop development can be enabled. This means that even novice developers can transform data based on rules that can be set in a simple and efficient manner that involves very little manual involvement.

Loading: Custom script is not needed. Data can be automatically loaded into pre-configured financial dashboards with ease. This allows for easy load, storage, and deep analysis.

Key Advantages of Using Modern No Code ETL for Enterprises

1/ Minimalizing IT Support

For organizations, data integration and data transformation often require dedicated teams of IT professionals. Without the proper staffing, systems can experience recurring downtimes and delays—there is excess dependence on personnel who might not always be available.

Platforms that offer modern no-code ETL eliminate the need for and dependence on IT personnel. These platforms empower non-technical users to take charge of data flows on their own.

Most modern No-code ETLs are built on a drag-and-drop model. These interfaces—combined with pre-built connectors—enable users across your organization to manage and create ETL pipelines for their needs with zero coding expertise.

No-code ETL can minimize operational bottlenecks, allowing technical teams to keep their eyes on high-value initiatives—like system optimization and strategic deliberations. It also enables each team within the enterprise to create and manage their own pipelines using the same data set.

2/ Ease of Use

When onboarding new hires or making an organizational shift in technology, valuable time is lost on training and retraining employees to keep up with the pace of the business. This is especially true when it comes to complex ETL pipelines and their usage.

No-code ETLs simplify this process. Data operations are easier to handle with these simple platforms—so teams across your enterprise can collaborate with smoothness and efficiency on all fronts.

These platforms require minimal training—so freshers and seasoned veterans have equal footing in their daily operations. No-code ETLs can bring your organization’s departments together at a higher level.

The self-service aspect of no-code ETL enables all teams to discover and extract relevant information to optimize their operations on a consistent basis. Since complex coding is not a necessity, the system also experiences less downtime—faster decision-making equals reduced time to market for new products and services.

3/ Scalability

Businesses are built to grow. As organizations grow—so do their data needs. Modern renditions of no-code ETLs are built with scalability in mind. These platforms are flexible enough to accommodate an enterprise’s growing data needs over time.

Larger data volumes, new and complex data flows, new data sources, etc., are easily absorbed by no-code ETLs that are employed by organizations. These platforms are known for providing cloud-based storage and processing—which is why optimization and scalability are easy and worry-free.

As your customer base grows, you can rest easy knowing that your no-code ETL is designed to accommodate larger loads of data over time. This is due to the agility and flexibility that modern no-code ETLs offer.

4/ Cost Efficiency

From the perspective of the organization, the daily costs of operations are a top priority. Traditional ETL builds need high maintenance and developmental costs to remain stable and efficient. Troubleshooting, coding, and updating can be a pain to implement—constant delays and incurred costs can stagnate your growing business.

No-code ETLs can simplify implementation, speed up deployment, and cut operational costs by a large margin. By eliminating the need for specialized developers and an excess reliance on IT support, your daily operations are smoother and more cost-effective.

Many no-code ETLs offer a subscription-based model—you can pay-as-you-go. This enables organizations to maintain a handle on cost—only leveraging the platform according to their inherent needs.

The flexibility that modern no-code ETLs offer is powerful. Organizations can now streamline their data flow for daily operations—increasing productivity and saving heavily on operational costs. The scalability of no-code ETLs makes them perfect for businesses looking to stay competitive and updated in the digital age.

Maximize Data efficiency and Precision with JIFFY.ai’s No-Code ETL.

Give your organization the no-code boost it needs with JIFFY.ai. This no-code platform enables your business to stay upright and optimized in your daily operations. Powered by AI, JIFFY.ai can process data in large quantities with precision.

JIFFY.ai’s no-code ETL service maintains your data integrity while seamlessly integrating with third-party applications using pre-built connectors and automated operations. The platform is specially designed to stay flexible, allowing your organization to scale upwards without worrying about the viability and longevity of your daily operations.

JIFFY can automate your ETL pipeline through its no-code platform. If you are a bank, financial institution, CFO’s office, or media business—JIFFY.ai has pre-built HyperApps that are specifically designed to meet your enterprise’s unique needs on multiple fronts.

These HyperApps are designed to support your growing enterprise ecosystem and other third-party integrations simultaneously. You can easily house all your data under one roof from many sources without worrying about data accuracy or integrity.

Being a cloud-based, no-code platform, JIFFY.ai is the perfect modern ETL solution to ensure confidentiality, privacy, and data security with top-tier encryption.

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