Data Migration and Replication

Data architecture modernization for valuable data assets

The modern business landscape is ruled by data. Analytics and AI are now essential for driving key business transformation. In order to make the most effective use of their valuable data assets enterprises are modernizing their data architecture. This requires bringing their business-critical data to work in the cloud and ensuring data consistency across multiple distributed environments.

Cloud Data Migration

Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed.

Learn More

Cloud Analytics

The primary driver leading enterprises to migrate data to the cloud is usually related to cloud analytics. Organizations today have either started out as digital companies or are undergoing a digital transformation in order to remain competitive. There is an ever-increasing volume, velocity and variety of data available to organizations that they want to utilize for AI and machine learning (ML) to improve customer experience, product planning, investments and overall business decision making.

Learn More

Hybrid Cloud

The majority of enterprises that are using data in the cloud are, and will be, maintaining a hybrid cloud deployment for the foreseeable future. Hybrid cloud deployments are made up of a mixture of on-premises environments along with public cloud resources that work together. Deploying a true hybrid cloud environment requires that data be allowed to be changed in either environment and replicated to the other in order to ensure data consistency. All too often organizations manage these deployments separately resulting in siloed operations. When managed correctly, hybrid cloud deployments can offer many advantages allowing businesses greater flexibility and options as usage demands, needs, and costs change.

Learn More

Multi Cloud

A recent Gartner survey found that greater than 80% of respondents using cloud services were using more than one CSP. A multi cloud strategy allows companies to select different cloud services from different providers based on their specific strengths. A multi cloud strategy also enables organizations to avoid vendor lock-in. However, the majority of multi cloud deployments today are using them in a siloed fashion, for different applications and not sharing their data.

Learn More

Disaster Recovery

Disaster Recovery (DR) solutions are used to enable organizations to failover to a remote environment in the case of system outages or because of manmade or natural disasters that would otherwise cause expensive service disruptions. DR solutions can be very expensive, for companies maintaining their own hot-standby environment in a remote on-premises location that is otherwise sitting idle. Cloud computing platforms are well suited for offering DR as a service due to their pay-as-you-go pricing model that can lower costs, and their use of automated virtual platforms that can minimize the recovery time after a failure. D

Download eBook

Intra Cloud Migration (ADLS Gen1 to Gen2)

Azure Data Lake Storage (ADLS) Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help organizations speed their time to insight. ADLS Gen2 extends Azure Blob Storage capabilities, is optimized for analytic workloads, and is the most comprehensive data lake available.

Learn More

Industry Use Cases

WANdisco is shaping the future of data infrastructure with its groundbreaking LiveData Cloud Services, making data always available, always accurate, and always protected. Delivering the hyperscale economics that support exponential data growth, WANdisco technology is used by hundreds of Global 2000 companies across many industries including automotive, financial services, healthcare, retail, and more.

Learn More

Cookies and Privacy

At WANdisco, we respect your concerns about privacy and value the relationship that we have with you.

Like many companies, we use technology on our website to collect information that helps us enhance your experience and our products and services. The cookies that we use at WANdisco allow our website to work and help us to understand what information and advertising is most useful to visitors.

Please take a moment to familiarise yourself with our cookie practices and let us know if you have any questions by getting in touch through any of the methods listed on our "Contact Us" page.

We have tried to keep this Notice as simple as possible, but if you’re not familiar with terms, such as cookies, IP addresses, and browsers, then read about these key terms first.