Data Frameworks

Frameworks for Azure Data Architecture

Azure Data Frameworks can improve performance

At Storata, we recognise that companies looking to make meaningful use of their data must have a strong data and analytics foundation. We provide a range of Azure framework options to help you get the most out of your venture, such as:
  • With Azure Synapse Analytics, you can query data to suit your needs and get complete data insights.
  • Azure Data Factory, uses simple, code-free data flows to accelerate data transformation.
  • By removing data silos, Azure Data Lake Storage enables you to store any kind, volume, or speed of data on a single platform.

With the use of the newest Azure technologies, Storata’s frameworks enable you to make better decisions with your data, establishing an effective and long-lasting Azure analytics environment for your company.

At Storata, we recognise that companies looking to make meaningful use of their data must have a strong data and analytics foundation. We provide a range of Azure framework options to help you get the most out of your venture, such as:
  • With Azure Synapse Analytics, you can query data to suit your needs and get complete data insights.
  • Azure Data Factory, uses simple, code-free data flows to accelerate data transformation.
  • By removing data silos, Azure Data Lake Storage enables you to store any kind, volume, or speed of data on a single platform.

With the use of the newest Azure technologies, Storata’s frameworks enable you to make better decisions with your data, establishing an effective and long-lasting Azure analytics environment for your company.

Summary

Azure Data frameworks from Storata are designed to quickly pay off your data and analytics efforts. Together, we create environments that smoothly mesh with your current setup, facilitating quick and accurate data intake via the Azure cloud platform. With the use of self-service business intelligence tools, our frameworks improve data accessibility and give you instant insights to support flexible and timely decision-making.

The Azure Frameworks for Storata​

Azure Accelerator for Data Ingestion

The time it takes to ingest and convert your data sources is greatly reduced by our powerful Data Ingestion Framework for Azure.

Azure Data Factory: A Solution Driven by Metadata

Integrates data into Azure automatically from a variety of source systems.

  • ETL procedure driven by metadata
  • Method that is regulated and reliable to enable quicker data intake
  • A focus on data analysis, profiling, and modelling
  • Restart possibilities and simplified auditing for the ETL process
Framework for CI/CD

Streamlines the integration of new code and allows for continuous integration; it also automates the deployment process in a variety of live settings.

  • Constant Deployment and Continuous Integration
  • Improved cooperation in the development
  • Regular and low-risk implementation in real-world settings
Solution for Automated Testing and Reconciliation

Produces thorough reconciliation reports while automating testing for correctness and operability.

  • Utilising a consistent pattern, reconcile the dimensions and facts inside the data model.
  • Minimise observable flaws in order to increase business confidence in the data.
Solution for Auditing

Keeps an eye on each record as it moves through the Extract, Load, Transform (ETL) process, guaranteeing automatic fault tracking and restart capabilities.

With every successful deployment by Storata, new functionality are added to these frameworks, which are always changing. We work in tandem with our clients to determine which frameworks are best suited to their unique requirements and surroundings. Our cutting-edge Azure solutions represent the pinnacles of industry knowledge and state-of-the-art technology.

Features
Azure Data Factory Solution
  • Driven by metadata
  • Preserved data history
  • Concurrent excerpts
  • Increasing loads
  • Combined auditing
  • Ability to restart
The CICD Framework
  • Ongoing incorporation
  • Ongoing implementation
  • Checks prior to deployment
  • Approvals prior to deployment
  • Surroundings that are tailored
  • Dividing into
Conciliation Structure
  • Business reasoning
  • Distinct business keys
  • NULL values
  • Absent Documents
  • Default Parameters
  • Size of Database
Benefits

For certain clients, this results in a 60–70% decrease in total development effort for data ingestion since Storata’s frameworks speed up data delivery into Azure. This effectiveness frees up substantial resources for insight reporting and analysis, allowing you to focus on delivering insightful business knowledge to your company.

  • Adaptable and adjustable
  • Iterate and enlarge
  • Data accessibility
  • Prepared for advanced analytics and data science
  • Generally less effort
  • Simplified complexity
  • Less items in the solution
  • Simple to uphold
  • Haste to the market
Superior Tools for Data Integration

We use Azure databases combined with a set of cutting-edge data integration solutions to help your company make the move to a successful data-driven enterprise. The administration and linking of massive amounts of data from many sources may be done with ease thanks to these technologies.

Furthermore, system development is streamlined and expedited by the strong Azure DevOps platform, giving you trust in your IT operations and speed.

Gain valuable insights by using data storytelling

Thorough analysis is only one component of the jigsaw when it comes to properly exploiting data. It is equally important to communicate findings in a clear and convincing manner. Your data becomes more valuable when it is told well.

We use a range of cutting-edge technologies and methods for data visualisation to assist you in creating frameworks for data storytelling that are visually striking. These frameworks give your data context, which eventually helps to shape choices and actions.

With Storata’s Azure Data Frameworks, you are able to:
  • Reduce the overall effort required for data intake development by 60–70%.
  • Release resources and make self-service, agile BI possible.
  • Track each record using ETL to gain complete system restart capabilities and much more.
  • Integrate data into Azure more quickly and smoothly.
  • Boost development velocity with automated branch merging and testing. 
With Storata’s Azure Data Frameworks, you are able to:
  • Reduce the overall effort required for data intake development by 60–70%.
  • Release resources and make self-service, agile BI possible.
  • Track each record using ETL to gain complete system restart capabilities and much more.
  • Integrate data into Azure more quickly and smoothly.
  • Boost development velocity with automated branch merging and testing.