With technological advancements, many organizations bring changes to their internal software development processes and policies. Based on organization-wide changes, they often decide to move from
Kovair QuickSync – Data Migrations for Legacy Tools
We all know data migration is an important and risky procedure in which most of the companies usually avoid increasing further complications. Still, data migration
How Important is Data Migration in Digital Ecosystem
Understanding data migration In its simplest definition data migration is the process of shifting the data from one storage to another. This may include a
Data Migration Strategies and Best Practices for Businesses
Every organization at some point or the other goes through the process of data migration due to various reasons. The basic idea of data migration
The Importance of Data Storage and Data Migration
Today’s generation needs system security due to severe virus attacks. Data migration includes moving data from an application to another application, storage or the cloud.
The Importance of Data Migration and the Role of Kovair QuickSync
Why data migration is important? Accurate data is the staple that maximizes the worth of enterprise applications. It is the backbone of an organization. There
Moving Your Data to the Cloud: Top Benefits of Cloud Migration
In the past, individuals would run applications or programs on a physical computer or server on their premises. However, cloud computing has made it possible
Top Mistakes that You Can Make in Data Migration
Most of the time we migrate data from one server to another one, and it works well. However, there are occasional times where the data
The Aspects of Automation in Data Migration
What is data migration In simple words, data migration is the transfer of data from the source to a recipient. The transfer can be between
Best Data Migration Strategy for your Next Project
Does your next project involve data migration? You need to work out the right strategy. If you want to make sure your data stays safe and
Data Lake Vs. Data Warehouse – What are the Key Differences?
The terms Data Lakes and Data Warehouses are two different varieties of data storage repositories, mainly used for storing Big Data. Both the repositories are
10 Reasons Why Businesses Should Consider Data Security
As a business owner, your clients’ personal information, data related to financial transactions, information about the company’s assets are all an integral part of your
The Multiple Roles in the Data Science Industry
We are surrounded by an inexplicable amount of data generated every day through a variety of sources. Businesses are leveraging the situation by gathering data
9 Essential Aspects of Data Migration
Relocation of data center, consolidation of storage or server, replacement of server, storage upgrade, workload balancing or performance-related maintenance — there can be plenty of
Data Migration and Reverse Synchronization Challenges: Overcome with Kovair Hybrid Omnibus
Common issues with classical integration With the advent of domain-specific integration tools
Top 5 Ways to Optimize Data Migration Effort and Yield
Data migration projects can be complicated, sensitive and costly at times. Most project managers involved in the process share a common concern – “My Project
Importance of Cross-Tool Data Analytics for Integrated Tools
Analytics is commonly used to describe, analyze, predict and improve business performance. It is a visual representation of critical data that gives a clear insight
Data Sync Monitoring in Integrated Toolsets
With the advent of time, the degree of application complexity has increased considerably. This dictates that each phase of Development is to be managed with
Syncing and Linking Trade-offs – How Kovair Manages Both
According to the International Data Corporation – IDC report, there will be around $270 billion spending on ICT products and services in 2015. Much of
Removing Data Migration Hindrances in New Tool Adoption
Accuracy, completeness, redundancy and tool compatibility checks during data translation are the major concerns that make ‘Data Migration’ job difficult for any organization, in any