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Data Migration Consulting

Data migration services for easy and secure migration scenarios
Leverage our data migration consulting to create a consistent cloud data migration roadmap that sets up your digital initiatives for success.

Why Take It To The Cloud

Companies that complete their cloud migration process achieve:
  • 20%
    infrastructure cost savings
  • 66%
    increase in administrator productivity
  • 43%
    reduction in time to market
  • 45%
    fewer security-related incidents
  • 29%
    increase in stuff focus on innovation

Data Migration Strategies For Your Business Needs

Our data migration consultants address your unique challenges with the right combination of data migration techniques.
  • transform

    Scalability

    Your current infrastructure doesn’t suffice your needs? Address your evolving demands and build up system storage with cloud infrastructure migration performed by our team.

    • Increasing system scalability
    • On-prem to cloud migrations
    • Syncing legacy and cloud systems
  • recommendation engine

    Resource Optimization

    Eliminate cloud resource waste and right-size your infrastructure to do more with fewer costs. Use our data migration services to balance your cloud environment and reduce the TCO.

    • Infrastructure reduction and modernization
    • Configuration and tool selection
    • Tailored optimization strategy
  • security

    Security and Compliance

    Minimize the risk of migration with a security-first data migration strategy. Our data migration consultants address your security and regulatory needs with the right cloud configurations.

    • Cloud security and compliance analysis
    • Risk mitigation strategy
    • Best cloud security practices
  • speed

    Speed to Innovation

    Score faster times to market by reducing latency and calibrating your digital architecture. Let our cloud engineers analyze, optimize, and improve your asset processing.

    • Infrastructure and tools audit
    • Data center migration consulting
    • Data architecture selection
  • Your current infrastructure doesn’t suffice your needs? Address your evolving demands and build up system storage with cloud infrastructure migration performed by our team.

    • Increasing system scalability
    • On-prem to cloud migrations
    • Syncing legacy and cloud systems
  • Eliminate cloud resource waste and right-size your infrastructure to do more with fewer costs. Use our data migration services to balance your cloud environment and reduce the TCO.

    • Infrastructure reduction and modernization
    • Configuration and tool selection
    • Tailored optimization strategy
  • Minimize the risk of migration with a security-first data migration strategy. Our data migration consultants address your security and regulatory needs with the right cloud configurations.

    • Cloud security and compliance analysis
    • Risk mitigation strategy
    • Best cloud security practices
  • Score faster times to market by reducing latency and calibrating your digital architecture. Let our cloud engineers analyze, optimize, and improve your asset processing.

    • Infrastructure and tools audit
    • Data center migration consulting
    • Data architecture selection
Looking for a risk-free infrastructure migration?
Transition to the cloud and unlock more innovation potential. InData Labs helps you securely migrate your workloads with minimum downtime and zero disruption to your business.
Consult an expert

Our Cloud Data Migration Solutions

Turn to our infrastructure migration services and address your data needs at scale.
Data Migration Consulting and Analysis

Data Migration Consulting and Analysis

Map out your data migration project for a smooth take-off. Secure our specialists to get a comprehensive audit of your current infrastructure, optimize your TCO, and identify bottlenecks.

  • Infrastructure assessment
  • Business case discovery
  • Validation of cloud readiness
  • Resource optimization and cost calculation
Data Migration Methodology and Planning

Data Migration Methodology and Planning

Create a solid data migration plan and transition securely into the cloud. Reduce migration infrastructure risks, chart out your data migration process, and decide on the best data migration tools.

  • Project scoping and resource evaluation
  • Migration design
  • Data auditing, profiling, and transformation
  • Risk mitigation and backups
Infrastructure and Database Migration

Infrastructure and Database Migration

Adapt to fast-paced landscapes with more efficient storage and accessibility systems. Our data migration company will help you enable effective movement of your assets between systems through a secure approach and consistent data migration testing.

  • On-premise to cloud migration (lift & shift) and moderation (lift & shape)
  • Big data workload migration
  • Workload migration between clouds
  • Database migration (homogenous, heterogeneous), migration between DB engines (e.g from Oracle/Microsoft SQL Server to MySQL/PostgreSQL)
On-premise and Cloud Data Integration

On-premise and Cloud Data Integration

Enhance your workload portability and get a cost-effective way to meet spikes in demand. Let us create a seamless, hybrid environment to help you improve scalability without compromising security.

  • Data warehouse consulting
  • Standardization, validation, and data testing
  • Requirement elicitation for data flows
  • Custom integration infrastructure

Data Migration Steps

Let our data migration company do the heavy lifting - from ideation to post-migration support.
Planning
Planning
Data profiling
Data profiling
Data backup
Data backup
design
Migration design
Execution
Execution
Testing
Testing
Post-migration audit

Cloud Providers We Work With

Use the scalability of the largest cloud players to your advantage.

Data Migration Tools We Use

A mature data migration company, we employ a powerful combination of time-tested tools and edgy solutions.
  • Databases
    Amazon Aurora, Amazon RDS, Amazon Redshift, AWS Schema Conversion Tool, AWS Database Migration Service and other...
  • Containers & Orchestration
    Docker, Compose, Kubernetes and other...
  • CI/CD
    Jenkins, CitLab, GitHub, Teamcity, CircleCI, Travis CI, Bitbucket pipelines, DroneCI, Flux, ArgoCD and other...
  • Configuration anagement
    Ansible, Chef, Puppet and other...

Industries

We help companies across industries and verticals to make the most of new cloud architectures.

Why InData Labs?

We help you drive digital transformation with the right combination of technology expertise and domain knowledge.
  • Highly Experienced Team

    Certified AWS Partner

    As a trusted AWS partner, we have access to a wide range of AWS services, including storage, computing, and analytics.
  • AI

    Years of Experience

    Since 2014, we’ve been helping companies accelerate their efforts through impactful and innovative solutions.
  • icon five stars

    Compliance Excellence

    Our company follows the best data security standards and regulatory guidelines to perform secure transitions.

Certification

Our skills and knowledge are validated by industry-best trainings and certifications.
  • badge aws partner
  • aws data analytics
  • AWS Database Specialty
  • AWS Machine Learning
  • AWS Developer Associate
  • AWS Solutions Architect Associate
  • aws solution architect
  • logo aws certified cloud practitioner
  • data bricks spark
  • confluent apache kafka
  • microsoft certified expert
  • power bi data analyst
  • logo microsoft azure data engineer
  • azure ai engineer
  • microsoft azure administrator
  • microsoft certified azure
  • ibm data and ai

Trusted by Innovative Companies

Let Our Clients Do the Talking

Customer Success

AI Customer Analytics Solution

AWS Analytics for FMCG

The client needed a custom text mining solution to pull insights from email and voice input. The core challenge of the architecture was an unstructured input foundation from multiple sources.

Our team designed and built a tailored analysis flow based on AWS patterns. The solution supports fast text mining, content analysis, and analytics.

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BI Solution for Unification Construction Projects Analysis

BI & Holistic Analysis for Construction Projects

Our client was looking for a new analytics set-up to gather, process, and visualize insights from multi-format construction data.

Our engineers helped the client transform their asset architecture into a serverless environment for fast insight collection and real-time processing. Our team also delivered a custom suite for real-time analysis and smart reporting.

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AI Consulting

Predictive Models for Finance

The client onboarded us to streamline and automate the debt collection process through intelligent ML modeling and innovative data flows.

Our team performed the end-to-end process of model development and input preparation – from cleansing to model deployment. The result is an accurate prediction algorithm that estimates the risk of no-pays.

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Food Supply Chain Management

On-Prem to Azure Cloud Migration

A food service company needed to migrate the workloads from on-prem to the cloud to unlock real-time IoT sensor processing and customer analytics.

Our cloud engineers took over the full-scale migration process and set up an analytics infrastructure based on Azure data lake. The new architecture delivers timely insights into the supply chain and improves reporting.

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Delivering Data Intelligence for Chemical Industry

Business Intelligence for Chemical Industry

A chemical manufacturer was looking for a fast and effective way to analyze the chemical composition of mixtures and test results along with the sales dynamics.

Our engineers transformed the unstructured production data stack and delivered a tailored business intelligence solution powered with Azure. The solution provides a comprehensive overview of chemical and customer insights.

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FAQ

  • Migration is the process of moving your digital estate from one place to another. There are four common types of data migrations:

    • Database migrations – the most common type of shifts. It refers to migrating input from a source platform to another database. For example, you can move your outdated legacy system to modernized software or consolidate all information within a single destination.
    • Storage transfers – they involve moving input from one storage system to another, be it on premise or the cloud.
    • Application upgrades –  they refer to the process of moving an application from one environment to another. This can be done for different reasons, such as upgrading to a newer version of the application, consolidating servers, or moving to a new platform.
    • Cloud shifts – this type of transition involves moving your on-premise infrastructure to a cloud environment.
  • This infrastructure migration plan involves moving digital assets from or to a SQL server. You can either do it on-premises or in the cloud. This type of transition takes place when you’re moving to a new server or shifting to another instance of SQL.

  • The cost of a data migration cloud depends on several factors. The most important ones are:

    • Data volume. The amount of assets you need to migrate determines the amount of time and resources you’ll need to complete the project.
    • Content format. Moving assets from one system to another requires knowledge of the structure and contents of each file type. If unstructured or poorly organized, your input needs transforming and validation to power accurate analysis.
    • Migration complexity. Some migrations are simple — all it takes is an export/import operation or an SQL query to move your assets from one system to another. However, if your migration involves multiple systems and disparate technologies, things can get more expensive.
    • Your data migration services company. The location and experience of your third-party vendor also impact the costs. Thus, the US is typically considered a top-paid location, while other locations are more affordable.
    • Cloud provider. Subscriptions and paid services differ by provider.
  • There are many reasons why companies might need to migrate their assets, but some of the most common reasons include the need to improve performance, unlock easier scalability, and unify all insights in one place. Cloud migration infrastructure also allows companies to accelerate release time, step up the innovation potential as well as eliminate server management and reduce the costs of data processing.

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