Modern data delivery platform like Lyftron modernizes IT departments by offering them the flexibility to consolidated data of their choice without being bound by the structure or schema of the data warehouse.
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Why IT Should Consider Agile Modern Data Delivery Platform
1. Fuel your expansion plans with data.
Understand the request for IT and plan
your expansion plans with valuable
insights from your data.
Single source of truth for diverse data.
Store all your structured, semi-struc-
tured and unstructured data at one
single location and eliminate multiple
and cost-prohibitive systems.
Lyftron offers unlimited scalability.
The fully automated data pipelines
quickly adapt to the growing
needs of your organization
without impacting the perfor-
mance and user experience.
LYFTRON FOR IT
IT departments deal with huge volumes of data that is rich and diverse, consisting of call center logs, payroll, attendance management,
service tickets, staffing system details etc.
Transforming these humongous volumes of data is a huge challenge with traditional data transformation tools. The legacy tools are
highly structured in nature and offer support for limited datatypes, they tend to slow down drastically while transforming unstruc-
tured and semi structured data. Lyftron modernizes IT departments by offering them the flexibility to consolidated data of their choice
without being bound by structure or schema of the data warehouse.
Visit: www.lyftron.com contact@lyftron.com 855-LYFTRON (593-8766)
Why IT Should
Consider Agile
Modern Data
Delivery Platform
Virtual Scalability One Source for a
variety of data
Data driven business
expansion
2. GUIDED BY THESE USE CASES
A TRANSFORMATIONAL STEP FOR BI ACCELERATION
Cloud Migration
Cloud
BI Tools
Self-service data
management users
Phase Migration
Lyft & Shift MigrationOn-premise
Cloud data warehouse:
Snowflake, Bigquery,
Redshift, Azure SQL DW
Lyftron
A cloud data warehouse is
connected and data migrated
step by step
Agile Universal Data Model
Cloud
Universal Data Model
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
Lyftron
Lyftron provides universal data model capability that enables
changes from the source dynamically in the semantic layer and allows
enterprises to avoid manual semantic data model changes.
Snowflake, Redshift,
Bigquery, Azure Sql
DW
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
On-premise
Cloud
3. HEADACHES UTILIZING THESE USE CASES
INSTANT BI WITH ZERO ETL/ELT
Governed Data Lake Analytics
Hybrid Cloud Management
Cloud
On-premise Legacy Platform
On-premise
Cloud
Saas BI tools
Self-service data
management users
On-premise
Cloud data warehouse:
CACHE
Lyftron
Lyftron enables sync between
multiple regions of cloud databases,
on premise database on Lyftron
cluster so, SaaS BI tools are connected
to both on-premise and cloud data
sources in one place
BI tools
Data Lake
Universal data model
managed by BI usersLyftron
Data Lake is connected to
Lyftron as a data source.
The data model for
analytics is based on views
RDS on AWS, GCP & Azure
Snowflake, Redshift,
Bigquery, Azure Sql
DW
Snowflake, Redshift,
Bigquery, Azure Sql DW
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources