Open doors to New-Age ETL with AWS ETL Modernization Service.

Get modern ETL pipelines that are automated and highly scalable to meet the growing needs of your business

AWS-ETL-Modernization-Service-Infoservices

Why You Should Modernize Your ETL(Extract, Transform, Load) Processes

Today, there is exponential data growth from multiple sources due to drastic changes in how companies interact with their customers. But traditional ETL processes aren t optimized for the contemporary business landscape. This calls for implementing ETL modernization that could overcome legacy ETL issues and utilize the clouds full potential. What are the issues with legacy ETL tools?

  • Cannot scale automatically to handle massive data for machine learning use cases.
  • A high cost associated with multiple licenses and vendor lock-in limits cloud usage.
  • Challenges in implementing CI/CD pipelines.
  • Are time consuming to manage infrastructure and do not support real-time processing.
  • Difficulty handling multi format data that is structured, unstructured, or semi structured.
AWS-ELT-Modernization

What is AWS ETL Modernization, and how can it help your business?

AWS ETL Modernization is a fitting solution to solve the challenges of legacy ETL tools and processes. AWS offers an exclusive ETL Modernization service through AWS Glue.

AWS Glue is a serverless data integration service that makes data discovery, preparation, and integration easier for advanced analytics and machine learning use cases.

At Info Services LLC, we offer a comprehensive AWS ETL Modernization service that enables your company to overcome the roadblocks associated with legacy ETL. Modernize your ETL to leverage the potential of analytics and machine learning for better decision-making.

Our Approach to AWS ETL Modernization

We follow a three phase ETL Modernization process that reduces time to migrate and prepare data for deriving valuable insights.

Assess
  • We help assess the current ETL pipelines and data integration patterns and find their alignment with the organizational goals.
  • We deliver an estimated TCO (Total Cost of Ownership).
Mobilize
  • We identify the current pipelines to be migrated initially.
  • We determine the migration strategies and set timelines for completion.
  • We create the required architecture, design, and measure estimated outcomes.
Modernize
  • Our team of AWS modernization experts create migration plans for all ETL pipelines.
  • We begin the modernization process by migrating in phases.
  • We automate the entire migration process thereby reducing the complexity.

  • We help assess the current ETL pipelines and data integration patterns and find their alignment with the organizational goals.
  • We deliver an estimated TCO (Total Cost of Ownership).

  • We identify the current pipelines to be migrated initially.
  • We determine the migration strategies and set timelines for completion.
  • We create the required architecture, design, and measure estimated outcomes.

  • Our team of AWS modernization experts create migration plans for all ETL pipelines.
  • We begin the modernization process by migrating in phases.
  • We automate the entire migration process thereby reducing the complexity.

Benefits of AWS ETL Modernizatio

  • AWS ETL Modernization via AWS Glue is 7 times cheaper than the legacy alternatives and 5 times cheaper than setting up a Spark cluster by yourself.
  • It has no vendor lock-in that allows exploring data integration using open-source technologies.
  • It helps build data lakes and scale automatically to accommodate massive real-time data.
  • It catalogs the data, either structured or unstructured, makes them available for data analytics, and prepares them for machine learning use cases.
  • It enables business decision-making from faster data ingestion, transformation, and loading.

Why Choose AWS ETL Modernization?

Serverless

Serverless

Serverless

It is hassle-free to maintain any infrastructure. You can directly assign the required computing power to run the ETL jobs.

Native-connectors

Native connectors

Native connectors

Connect with multiple source types through native in-built connectors and extract multi-format data to meet business demands.

Data-Integration

Data Integration

Data Integration

It accommodates various types of data integration - visual ETL development for data engineers, Notebook based code development for data scientists, and no code development for data analysts.

Cost-efficiency

Cost-efficiency

Cost-efficiency

The Pay-as-you-use cloud model makes it 55% cheaper than other data integration methods.

Complex-workload-processing

Complex workload processing

Complex workload processing

It efficiently works with 65+ sources, process petabytes of real-time data, and handle both batch and event-driven modes.

No-vendor-lock-in

No vendor lock-in

No vendor lock-in

Leverages open-source technologies like SparkSQL, Python, and Scala to avoid vendor lock-in.

Automation

Automation

Automation

It enables the automation of schema detection, data validation, and ETL pipeline inspection.

Take action now

Level up your ETL game with AWS ETL Modernization.