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Home › PolarSled

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

Polarsled Strategize

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

Polarsled FinOps

Polarsled Mesh

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.

DBTizer

Key Benefits

Automation

Automation:

Accelerate your modernization journey to Snowflake data cloud, which is predictable, cost-effective, and agile, without any impact on business continuity.

Predictability

Cost Optimization:

Comprehensive governance for cost, ensuring value delivery. Monitor, optimize, and predict the cost across the Snowflake data cloud.

Responsible AI

Modernize and Monetize:

Improve the business agility and scalability by adapting to modern data stack. Build, maintain, and monetize your data products.

Resources

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