Extract and transform data with precision. Merge systems, trace any anomaly, or derive a birds-eye view to forming critical decisions.

Data migration is a very vital decision an enterprise has to make. It means to move data permanently from one storage to another storage. It has to be planned very precisely. There are three major processes involved in migration a) collection/extraction of data b) transformation of data 3) Loading data at the destination. 

Types of Data Migration

  • On-prem to Cloud solutions
    Since the quantity of data is growing and the quality of data is also changing, it is becoming difficult to manage this data with traditional systems. It also becomes difficult to use this data for the strategic planning of the enterprise further. So, modern data architecture benefits business to make further analysis and also manage its growing size. This also reduces the cost of maintaining on-prem servers/infrastructure.
  • Analyze and monitor data
    Due to traditional data architecture, its impossible to process bulk data and get the desired reports. Modern architectures make it possible to get data logged and analyzed. Data monitoring and automation can also be implemented if data migration is done on cloud solutions. Processing time its reduced and real-time monitoring is possible.
    In decentralized organizations, there are multiple data sources, so to analyze and generate predictions that can drive business strategies data warehouse has to be setup. In this case, data migration from various sources is planned to create Intelligent centralized systems.
  • Upgrading systems
    The world is going towards the microservices approach, and this has opened up newer and better options for business solutions. While adopting new services/products or while building a modern, fully customized application using new technologies, both approaches require to migrate its existing data to the news source. This migration ensures data integrity in the new system.
  • Mergers and acquisitions
    Mergers and acquisitions are very common growth options for an Enterprise. It opens up the scope of growth, market coverage, and eliminates competition. While this merger and acquisition generate the opportunity of data migration activity for checking overall data integrity and getting combined analysis. Since both the business will have different data sources/ data storage, it’s vital to have a common platform for analyzing key data from a birds-eye view.

Data migration service at Sigma

Sigma Data Systems has experienced data engineers and data scientists to plan and execute a secure data migration process. They understand the value of the data, its accuracy, and its sensitivity. Sigma identifies storage necessity, designs an accurate data mapping/data cleaning schemas, test and handles exceptions while migration, schedule the processes with 99.99% uptime and fault-tolerant architecture. 

Successful data migration process at Sigma

  • Identification of the objective and scope
  • Understand the current data source and analyze all the details like data format and data type.
  • Pre-migration testing of data 
  • Extracting and classification scripts on staging
  • Real-time migration testing
  • Post-migration testing and validation of data on stage
  • Implementing in a production environment. 
  • Build a secure and robust data migration process.

Tools and technologies we use for data migrations

  • Apache NiFi

    Apache NiFi is an open-source project which automated and managed the flow of information between systems.

  • CloverETL

    CoverETL is an open-source tool for data transformation and data integration.

  • Talend Open Studio

    Talend provides open-source data integration software. Talend Open Studio is used for integration between operational systems & ETL (Extract, Transform, Load) for data warehousing, BI, and data migration.

  • Myddleware

    It is ready to use a product that facilitates data migration and synchronization between applications

  • Pentaho

    Pentaho is a business intelligence software that provides data integration, OLAP services, reporting, information dashboards, data mining, and extract, transform, load capabilities.

  • Fivetran

    Data migration tool to replicate data in a cloud warehouse.

  • Matillion

    Matillion ETL is an ETL/ELT tool built specifically for cloud database platforms including Amazon Redshift, Google BigQuery, and Snowflake. It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality.

Benefits of data migration

Every data migration is different depending on data sources and their nature. This is a high-level diagram depicting on-prem data migration architecture.

  1. Adopt smarter softwares and systems.

    Opportunity to get aligned with new technologies as well as new platforms that can leverage better analytics.

  2. Helps in resolving anomalies and errors in the current system

    Data automation and analysis can help in the eradication of any current systems.

  3. Facilitate custom reports over the data warehouse

    Open the doors to any custom reports which can be fetched from new and modern data storage.

  4. Facilitate in acquisition and mergers

    Make overall analysis easy after acquisition and mergers.

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Without big data analytics, companies are blind and deaf.

Geoffrey Moore