Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Transfer From Legacy to the Cloud
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Data Transfer From Legacy to the Cloud
Cloud ComputingSecurity

Data Transfer From Legacy to the Cloud

EphraimCohen
EphraimCohen
5 Min Read
SHARE

The transformation to the cloud is taking everything – and everyone — by storm. In spite of the earlier security issues and ever-present power-on power-off, surprises, the economies-to-scale are so low that it is almost guaranteed to be around for quite a while.

Contents
The Cloud has an Achilles HeelOnce a Database, Always a DatabaseRebuilding Your Data Integrity

The transformation to the cloud is taking everything – and everyone — by storm. In spite of the earlier security issues and ever-present power-on power-off, surprises, the economies-to-scale are so low that it is almost guaranteed to be around for quite a while.

The Cloud has an Achilles Heel

Some believe there are still some bastions that are holding onto the past, mostly due to their inherent characteristics. But if it is their inherent characteristic, then they are not holding onto the past and the same characteristics have been transferred into the present. An ERP system, whether cloud, in-house, or on-premise is still a relational database. There are some that promising changes happening with unstructured data, such as OpenText, but for now however, the majority of systems are still using relational databases. Remember, what has been changed is only the system. You have only performed a system transformation to the cloud — data management is not part of this transformation.

Once a Database, Always a Database

Unless the end-users have been thoroughly educated to the details of how data is stored, updated, deleted, as well as how to perform regular audits in relational databases then there are going to be problems. Most likely, whatever data challenges were experienced with the old database had little to do with how the system operated but more with how it was entered. Hopefully, you had someone very knowledgeable with not only data management but had been familiar with your business and business processes also.

More Read

cloud technology and returning to work during the pandemic
Role of Cloud Computing and Going Back to Work in the Post-Pandemic
The Cloud is Boosting Platforms for App Development
Cloud Computing: Cost Saver or Additional Expense?
Merging Predictive Analytics Models And WAF For Top-Tier Security 
Companies Without AI-Based WAF Protection Will Be Left Behind In 2020

Such a trained eye would pick up more problems than someone who knows the system very well and has absolutely no idea if some of your data is sitting in the wrong field in either your legacy system and/or on the data maps to be used for the implementation. In the end, all you are doing is transferring the problem from one system to another — and probably blaming both systems as well.

Rebuilding Your Data Integrity

With the advent of everything becoming easier, and faster, it escalates the need to be sure your data is being entered and maintained correctly. So what do you need to do?

Before the data mapping even starts, print or capture every report – including the ad hoc reports generated within the past year (most of us save these things). Distribute these to the supervisors and/or department managers to note errors such as information that is missing, in the wrong place, or calculated incorrectly. And be sure to require a sign-off on these reports!

Needless to say, you will need to move the data from the old field to the correct field. Run the reports again, visually ascertain that everything has been corrected – then distribute the reports again, and again with a signature. Once the old system has had the database ‘cleansed’ then you can be sure that if there are any problems in the implementation, you can isolate it to the data mapping and not consider if the data integrity is questionable.

What has been your experience in data migration from the legacy system to the Cloud? In 10 words or less, please let us know what data management needs required your attention or what you discovered was a problem with your data integrity AFTER the data had been migrated.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive
data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data privacy
Best PracticesBig DataCulture/LeadershipData ManagementITLocationMobilityPolicy and GovernancePrivacySecurityTransparency

Big Data Today: Living as Far from 1984 as Orwell

5 Min Read
cyber attacks and cyber insurance
Security

Cyber Insurance Could Keep Your SMB Afloat Post Cyber Attack

5 Min Read

Migrate from Proprietary Software to Linux to Create Cost Savings

7 Min Read

Bring Your Own Software

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?