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Every few decades, a disruptive technology shakes up the fundamentals of its market. Snowflake is one of such a game-changer that irrevocably altered the landscape of Data Management solutions for analytics. The novel hybrid architecture, unique consumption model and unlimited scalability represent imperatives that customers were vying to incorporate into their technology landscapes.

LTI recognized the potential of Snowflake technology much in advance – we were early adopters, and enthusiastic supporters of the technology empowering it. Having perceived that Snowflake would occupy a niche in the cloud data warehouse space, we adopted an innovation centered, automation-first approach to deliver Snowflake services. We followed an amplified services approach by augmenting Snowflake practitioners at LTI with tools, utilities and frameworks. This has been driven by our flagship portfolio, branded SnowBoard. This groundwork enabled our customers not only adopt Snowflake, but also helped with tech-powered growth – @pace, @scale.

Over the years, Snowflake migrations and greenfield implementations for global 2000 customer base have been witnessed. We have established ourselves as a trusted and credible partner for our client’s Snowflake journey. Leveraging our ‘Data to Decisions’ Mosaic platform on top of Snowflake as a native platform, we have proved to be more powerful and valuable than ever before. We also have a strong credible partnership with Snowflake so that we can deliver more value together.

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Snowboard – LTI’s migration framework for Snowflake

Key Snowflake service offerings:

  • Strategy & Architecture – Technology consulting & assessment, architecture definition, future roadmap creation and defining migration strategy
  • Automation-led Implementation – End-to-end Snowflake solution across the entire data value chain – Data Architecture, ETL pipelines and Analytics Apps, leveraging the LTI tools & accelerators suite
  • Sustain & Optimization – DataOps led application support & operation management, along with administration and optimization of platform

Solutions

SnowMeta

Migrates source database schema into snowflake schema in an automated process. Additional feature inclusion/ exclusion of table

SnowAnalyzer

Analysis of the data table and views to select the optimum accelerators to use

SnowView

View migration form on premise DB into Snowflake view in an automated process along with naming the data elements

SnowMigrate

Spark based ingestion framework for migrating and processing data from on-premise DB to snowflake

SnowConvert

Migrate incumbent database SQL queries to corresponding snowflake queries

SnowStratify

Analyze data stored in Snowflake to identify cold/warm data which can be moved to external tables for cost optimization

SnowPerform

Analyze and Identify Snowflake table which can benefit from clustering keys

SnowSave

Analyze and report potential inefficient cost consumption patterns for e.g. long running queries, high cost virtual warehouses, idle resources etc.

SnowSniff

Identify potential security gaps in snowflake implementation like non secure views, objects created by account admin etc.

Report Analyzer

Look at repository for similar reports, usage pattern and unused reports

AI Led Data Validation Framework

Framework for Data Validation between Source and Target

Solution Accelerators

SnowMetaMigrates source database schema into snowflake schema in an automated process. Additional feature inclusion/ exclusion of table
SnowViewView migration form on premise DB into Snowflake view in an automated process along with naming the data elements
SnowConvertMigrate incumbent database SQL queries to corresponding snowflake queries
SnowPerformAnalyze and Identify Snowflake table which can benefit from clustering keys
SnowSniffIdentify potential security gaps in snowflake implementation like non secure views, objects created by account admin etc.
AI Led Data Validation FrameworkFramework for Data Validation between Source and Target
SnowAnalyzerAnalysis of the data table and views to select the optimum accelerators to use
SnowMigrateSpark based ingestion framework for migrating and processing data from on-premise DB to snowflake
SnowStratifyAnalyze data stored in Snowflake to identify cold/warm data which can be moved to external tables for cost optimization
SnowSaveAnalyze and report potential inefficient cost consumption patterns for e.g. long running queries, high cost virtual warehouses, idle resources etc.
Report AnalyzerLook at repository for similar reports, usage pattern and unused reports

Resources