Home › Alcazar

Alcazar

Data explosion is a significant phenomenon that poses a grave challenge to traditional on-premises data warehouse platforms today. Even continuous scaling of the platform does not match the data velocity, resulting in high procurement and operational costs. Modern-day organizations are, therefore, moving towards cloud-based data platforms that provide greater flexibility and cost-effectiveness. A traditional analytics platform comprises different tools, involves integration costs, and presents challenges. Databricks Lakehouse is a unified platform that stores, processes, and reports data and executes advanced use cases based on AI/ML.

However, modernizing on-premises data platforms demands a high degree of planning, reverse engineering, and technical competencies leading to higher cost, effort, and significant time. LTIMindtree’s Alcazar is an intelligent modernization accelerator for Databricks migration that addresses these challenges. It provides automated solutions for Data/Schema and ETL migration and a suite of MLOps accelerators for simplifying AI/ML implementation with Databricks. Testing and developing Advanced Data Science use cases in real-time becomes quick and easy.

Our Services

Key Features

Cost Saving

An automation-led approach for massive cost savings, up to 50%

Reduced Efforts

Automated and simplified data migration activities reduce efforts

De-risked Migration

Accelerators based on key principles, best practices, and industry guidelines minimize risks

Optimized Platform

Constant platform monitoring furnishes insightful recommendations for optimization

Our Offerings

Plan

Strategize end-to-end migration scope and design with a design framework based on technology consulting, which encompasses

Vision and Roadmap
Solution Selection
TCO Calculation
Business Case

Migrate

Migrate an on-premises database to the Databricks platform with a complete migration framework comprising of

Source Inspect
DatabricksConvert
DatabricksMigrate
Data Match

Optimize

Optimize the Databricks platform and enable AI/ML use cases with our accelerators

FinOps: Monitor and optimize
KenAI: Operationalize AI/ML models
Data Science: Leverage proven Data Science solutions

Solutions & Accelerators

Source Inspect:

Automated analysis of current legacy EDW, MPP, and Hadoop objects with complexity analysis.

DatabricksConvert:

Migrate/ transform the source database objects from source syntax into equivalent Databricks objects.

DatabricksMigrate:

Automated migration of data from Source tables to Databricks Catalog in an optimized manner using Databricks features.

Data Match:

Row and Column level validations of migrated data between source and Databricks with detailed reports.

FinOps:

Provides insights into Databricks usages and provides recommendations for better cost and performance optimization.

Databricks Mesh:

Accelerators to help implement Data Mesh in Databricks, therein enabling an organization to be a data-driven organization by using data as a product.

KenAI:

Deploy, Test, Package, and Monitor model drift, data drift, and service health of your ML models.

Alcazar

Our Services