LTIMindtree’ s PolarSled – Accelerate Your Snowflake Cloud Journey
Polarsled platform is our comprehensive solution designed for a seamless Snowflake cloud transformation journey. From migration and integrated automated analysis to code conversion and robust governance, it emphasizes data- and dbt-driven transformations, underpinned by native GIT and DevOps support.
Our Framework
It provides a complete playbook encompassing migration strategy, automated migration, and post-migration governance to enable Snowflake’s cloud data platform adoption.
Strategize
Automated analysis of existing (AS IS) data landscape, used during the initial assessment phase
- Smart Analyzer: Performs landscape analysis, provides complexity, risks, technical debt
- Dependency Analyzer: Provides in-database object dependencies and lineage
- Domain Analyzer: Group all the DB objects into clusters/domains to identify nondependent clusters for deployments
- Change Monitor: Tracks the changes that occurred at source post-migration
Migrate
Automated code conversion, data migration, and data validation reduce manual efforts and improve efficiency
- Object Convert: Converts the source-compatible objects into equivalent snowflake objects
- Cloud Upload: Helps in loading one-time historical data from the source platform to Snowflake
- Smart Validate: Reconciles the migrated data across the platforms and performs sanity, statistical, and row-by-row validation
- Smart Optimizer: Optimizes the converted code to improve the performance and maintainability
Govern
A governance platform provides a 360-degree view of Snowflake, covering multiple key aspects such as cost, performance, security, platform health, etc.
- FinOps: Estimate, monitor, control, and optimize your Snowflake account
- Sentry: Automated Alerting and proactive monitoring
- Lighthouse: Provides security recommendations and detects threats
- SHI: Assess platform health over 100+ checkpoints across multiple domains
- Daily Briefing: Get daily reports with graphs showcasing daily trends and utilization
- Onboarding: Application and user onboarding on Snowflake via a defined process
Mesh
Sociotechnical approach to building a decentralized data architecture by leveraging a domain-oriented, self-serve, and domain-driven design.
- MRAT: Assess mesh readiness from both technical and organizational cultural perspectives, Seven dimensions, and 50+ KPIs
- Self-Service Infrastructure: Auto provisioning of cloud infrastructure and services, Infra as a code
- Market Place: Track data product usability, security, cost and observability, and monetize the data by leveraging data product
DBTizer
Automated dbt-driven tool uses a code-first approach to transform data, create data transformation pipelines, and generate automated documentation with native support for GIT, DevOps pipelines, observability, and data quality.
- Source Analyser: Analyzes source landscape to identify data types, patterns, risks associated with automation, and quality issues to facilitate data transformation decisions.
- Meta Data Extractor: Extracts metadata to provide details on column names, data types, and object relationships.
- Template Mapper: Maps customizable templates to source data to capture common transformation patterns.
- DBT Model Convertor: Uses the mapped templates to transform them into executable dbt models.
Key Benefits
Automation:
Accelerate your modernization journey to Snowflake data cloud, which is predictable, cost-effective, and agile, without any impact on business continuity.
Cost Optimization:
Comprehensive governance for cost, ensuring value delivery. Monitor, optimize, and predict the cost across the Snowflake data cloud.
Modernize and Monetize:
Improve the business agility and scalability by adapting to modern data stack. Build, maintain, and monetize your data products.
Brochures
Case Studies
POVs
Whitepapers
Blogs
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