Accelerator – Led Data Modernization

Fast, Seamless, & Powerfully Efficient

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Banner image of the Accelerator Led Data Modernization Anblicks Service

The “Accelerator-led Data Modernization” offering is designed to transform organizations’ data infrastructure within 26 weeks. It focuses on migrating from legacy data platforms to modern solutions, improving data accessibility, accuracy, consistency, completeness, and timeliness. This results in enhanced decision-making, operational efficiency, agility, innovation, customer experience, regulatory compliance, scalability, and competitive advantage.

Why Anblicks Accelerator-led Data Modernization

Advanced-Data Architecture

Optimizes performance and scalability with a redefined data architecture and organized databases.

Superior Data Quality and Security

Guarantees high data quality and robust security measures, including advanced access controls and data masking.

Increased Efficiency and Performance

Boosts efficiency with workload-based warehouse sizing and query profiling.

Advanced-Data Management

Improves data utilization and sharing with cloud storage integration, data cloning, and time travel configuration.

Accelerator-led Data Modernization Features

1

Current State Assessment

Evaluates existing data architecture and defines a roadmap for modernization.

2

Accelerator-Led Data Migration

Automates and expedites migrating from legacy systems to modern platforms.

3

Advanced Data Security Measures

Implements roles, access controls, masking, tagging, and row-level security to protect data integrity.

4

Seamless Data Integration

Enables external cloud storage integration, data cloning, and time travel configuration for robust data management.

Offerings & Solution Outcomes

Up to 6 Weeks

Assess & Adopt

Current State Assessment, Architecture Definition

Define Data Transformation objective and success criteria.
Identify Stakeholder(s)
Identify Roles & Responsibilities
Assess current State Data Architecture
Define Prescriptive Data Architecture
Database & Schema Organization (Dev, Test, Prod)
Roles & Access controls
Masking, Tagging & Row Level Security
Workload persona-based warehouse sizing & implementation
Service Accounts & User Management
Utilization & Resource Monitoring

Up to 20 Weeks

Accelerate

Accelerate Data Modernization from years to weeks

Accelerator led schema conversion (Tables & Views)
Accelerator led Data Migration
Data Migration automation
Configuration driven catch-up Jobs
Accelerator led Data Ingestion
Config driven data ingestion framework
Accelerator led ETL workload conversion
Proprietary ETL code
Stored Procedures, macros
DML’s like complex queries, inserts, updates, and proprietary scripts
Accelerator led scheduling and orchestration set-up
Accelerator led Data validation

Up to 21 Weeks

Maintain

Minimize Data Downtime

Configuring “Incident Manager Workflow” to flag Data Assets as being in an unhealthy state
Data Observability by configuring assertions to minimize “Data Downtime” and maximize “Data Quality”
Data Freshness assertions
Data Volume assertions
Custom SQL assertion
Column assertion