Cloud Data Migration Consulting Services

Data-Driven

Future-ready technology environment for business analytics

25%

Significant reduction of TCO

SCALE

Infinite processing and storage scalability

Real-Time

Load, aggregate, analyze real-time streaming data

TRUST

Secure services with advanced disaster recovery capabilities

95%

Massive reduction in migration effort using ‘Evove’

Graduate from enterprise to ecosystem data for holistic analytics

The increasingly digitalized world we live in results in the creation of more and more data. While most companies focus on collecting, integrating, and analyzing their enterprise data, the most innovative companies think about data in a much more holistic and broad sense.

In one dimension, the innovators think about all sources of data and include competition, regulators and influencers in their data universe. In a second dimension, they think about data that is generated outside of the walls of the enterprise - including that of customers, employees, partners and suppliers. Finally, they think about all forms of data: structured, unstructured, alphanumeric, text, sentiment, and emotions.

The insights of innovators who are thinking ‘ecosystem data’ are far more complete, current, and accurate. This, in turn, leads managers at all levels to make the right decisions.

Graduate from enterprise to ecosystem data for holistic analytics

Shift to cloud: Analyze data holistically and accelerate digital transformation

The trouble is that traditional ERP, CRM, HRMS, service management or even custom applications are neither designed to capture such data, nor are they scalable in on-prem environments for running analytics.

Cloud solutions provide several advantages over local data warehouse appliance setups. The move from on-premise data warehousing into cloud or cloud data-lakes offers several benefits:

Storage and Processing Scalability

Ecosystem data can run into petabytes, and a significant drawback for on-premise data warehouses is limited computing capabilities, which are essential for large scale data. Every time an on-prem server reaches maximum capacity, companies must upgrade or add capacity, resulting in processing downtime.

Cloud platforms offer virtually infinite scalability via pooled computing resources. You can quickly provision more vCPU, RAM, or storage capacity when needed, and this allows for continuous analysis of very large volumes of data.

Cost Savings

Modern cloud hosting platforms use resource-based billing models to minimize operating costs. This means that when you move to the cloud, you will only pay for the computing resources you use, saving money in the long-term. Depending on the platform you choose, you also have access to a range of storage options, including SSD, HDD, and tape-based storage drives, allowing you to minimize costs when storing infrequently accessed datasets.

Along with resource-based billing, cloud platforms also take away the burden of infrastructure maintenance, freeing up IT staff hours to work on development rather than repetitive infrastructure management tasks. This translates to indirect cost-savings, as human resources are utilized more efficiently when compared to an on-premise data warehousing approach.

Cloud Disaster Recovery

On-premise data backups can be time-consuming and challenging to automate, especially with traditional data warehousing solutions. Monumental amounts of hard drive space are needed to facilitate backups in the first place, leading to increased hardware costs.

All major cloud platforms have built-in disaster recovery functionality, offering backup replication and scheduled backups that help you achieve recovery point objectives (RPOs) and recovery time objectives (RTOs). For older backups, you can transfer them to slower (read: often lower cost) archive storage solutions in the cloud, further reducing your disaster recovery operation costs. You can even leverage the power of third-party multi-cloud replication-as-a-service tools to increase network resiliency further.

Trianz is accomplished at guiding clients further through the process to help them make the best choice for your organization.

CLIENTS WE SERVE

Our approach: 30% faster migration of finite datasets to cloud with EVOVE

One level of data migration is to take finite datasets such as customer, products, sales, finance etc. and move it to a cloud lake. In this, Trianz has developed a platform called EVOVE, powered by CompilerWorks, which reduces or eliminates the challenge of designing, building and testing the extract, test, and load (ETL) logic by automating key components of the platform migration process. Therefore, we are able to reduce migration cycle times by 30% or more. Here are the steps in our cloud data migration methodology:

Rebuild semantic Layer and migrate your business logic to LookML syntax.

Migrate your reports to Looker in partnership with your teams.

ETL Assessment

The database structure, ETL jobs, and stored procedures are analyzed so that detailed requirements can be created for the stages that follow.

Automated Migration with EVOVE

EVOVE automatically converts 95% of the database elements to the modern architecture. The remaining database elements are then manually addressed.

Data, ETL and Reports Validation

This phase includes identifying and resolving any migration related issues in the database.

Learn more about EVOVE, the Trianz automated data migration solution.

Our approach: Migrate Data at Scale with our Data Migration Center of Excellence Model

Migrating data at scale involves a very different approach in which we partner with clients. Beginning with strategy and prioritization, Trianz deploys a scalable team equipped with repetitive frameworks, IP, and accelerators to drive simultaneous migration of multiple datasets.

Benefits of Shifting to Cloud

After a 4-6-week strategy phase, we operationalize data migration CoEs within another six weeks so that the CoE is fully operational within 2-3 months of commencing an engagement.

Cloud computing has revolutionized the way enterprises derive value from data. The elasticity of cloud technology solves workload challenges quickly and efficiently, from anywhere, and through any device.

KC Sreeram

Vice President - Cloud & Infrastructure Practices Leader

We bring an IP and Accelerator driven approach to Data Migration

What sets Trianz apart is that almost every phase of data migration at scale is conducted using IP and automation to drive efficiency, cost reduction, and faster time-to-market. We carry a wide array of IP to pick and choose from.

Our Data Migration services are backed by strong partnerships

As a specialized digital transformation services firm, we have built close partnerships with all the major players in cloud and data technologies. Our teams are trained, certified and have access to all types of assets made exclusively available to premier partners.