Company:
Location:
Industry:
Iron Mountain
Newark, CA
Data Center Infrastructure
Lyftrondata Workload used
Data Virtualizaton
Data Pipeline
API Data Hub
Data Warehouse
Data
Catalog
Data Governance
All your data, All your insight in the modern Data Mesh
that you never thought posible
Data Virtualizaton
Data Pipeline
API Data Hub
Data Warehouse
Data
Catalog
Data Governance
Organizations across the globe trust us to store and protect information and assets. Thousands of local enterprises work with us, as does almost all of the FORTUNE 1000. From critical business information to geological samples, works of fine art to original recordings of treasured artists, our customers can rely on us to protect what they value and help unlock its potential.
Data Center Infrastructure
Newark, CA
To streamline the processing of various applications, Iron Mountain strategically chose to swap out Talend's customized ETL processes with Lyftrondata's no-code/low-code modern data fabric solution. Bulk job creation on the Lyftrondata platform required fewer clicks as a result, leading to quicker acceleration.
There was a critical need for advance optimization in order to guarantee efficient memory management solutions. The outcome of the activity would be the effective execution of the incredibly complex data pipeline flows.
The organization needs to improve its data governance and data hub architecture in light of the growing demand for Data Lake implementation to advance its businesses.
Financial data is extremely sensitive, necessitating both immediate action and more thorough security measures.
For Iron Mountain, the Modern Data Hub infrastructure is able to migrate with Lyftrondata to support quick market access. The traditional on-premise database problems and bottlenecks must be resolved. Create automatic pipeline and quickly analyze data from Salesforce and Business Central 365 to Azure Synapse with fewer clicks.
The Lyftrondata pipeline enables successful data transfer with efficiency. It utilizes a universal data model to build a data pipeline and bi-layer fully dynamic that enables Tableau to be used for Iron Mountain data analysis.
It facilitates the heavy lifting of data from on-premises to the cloud and allows for the creation of logical data warehousing approaches. Lyftrondata enables Iron Mountain to use resource groups for seamless use of data catalogs, field-level encryption, data masking, and object tagging for object segmentation such as view, table, field, and database for sales, finance, marketing, etc.
Self-Service Migration
Few clicks data migration from Business Central 365, Salesforce, Azure Sql to Azure Synapse with cache based incremental loads
Data Governance
Usage of a customized Lytrondata data governance and tagging features for standardization and data analysis
Data Masking
Auto data masking, data encryption to secure the sensitive data
Automatic Data Pipeline
Automated data pipeline to move the data from legacy platform
Data Observity
Onboarding of multiple applications using an optimized Lyftrondata self service platform
Universal Data Model
Universal Data Model to enable BI pipeline fully dynamic to capture the changes from the source
Skill enhancement of the existing manpower
onboarding of new applications
Memory management enhancement
Faster business
decisions
Low cost of
management
Reporting speed increased by
Improved service to clients
Better customer experience
Lyftrondata helped Iron Mountain lessen the effects of employee transition and attrition by providing the company's current staff with extensive training. We also improved the workers' knowledge and skills.
The Lyftrondata framework's optimization made it simpler to integrate new applications into the infrastructure. Memory management and data pipeline processing were further improved by the addition of unlimited Spark computes.
The Lyftrondata data catalog provided standardization in the entire organization and enabled the detection of data silo practices.
The Lyftrondata POCs and training made it easier for application owners to switch over their data to Lyftrondata and ensured a smooth implementation with little disruption to users.