Synapse Lightning - 2 weeks assessment

Mindtree Limited

Simplifies and accelerates migration of Azure data services into Synapse Analytics

Simplifies and accelerates migration of Azure data services into Synapse Analytics by:

  1. Automated swift migration of large-scale Data factory pipelines to synapse pipelines.
  2. Common Data lake for Raw Data management.
  3. Multi Enterprise data integration. Automated swift migration of large-scale Azure Databricks scripts to Azure Synapse – Spark Pool.

Customer Challenges:

  1. Deriving meaningful insights from data and converting knowledge into action.
  2. Accelerating speed to discover and validate industry-specific business problems.
  3. Simplifying technological complexity leveraging Azure data services and Databricks.
  4. High TCO for usage of Azure Databricks and Azure Data services.
  5. Building self-learning models targeted to specific use cases and implementing swiftly/readily to build management’s confidence in investing to gain scale.
  6. Capturing wide variety of data with ease while facilitating real-time, large-scale data processing and analysis.

Benefits:

  1. Accelerator to ease the migration for small, medium and large-scale Azure Synapse analytics transformation
  2. Data factory Pipelines: Medium and large scale ADF pipeline migration to Synapse Analytics is cumbersome. Easily lift and shift to Synapse data integration at scale.
  3. Azure Databricks scripts: Migration complexity of Azure Databricks scripts to Azure Synapse – spark pool. Lift and shift migration at scale to Synapse spark pool, Notebook chaining, Azure DevOps integration, Logging & exception handling.
  4. Delta Lake Migration: Bulk migration and conversion of Parquet files to Delta lake.
  5. Reduced costs by 30% and Efficiency improvements by 50%
https://store-images.s-microsoft.com/image/apps.30527.ce5b217d-4867-4a45-afc6-9ba1f7785b05.45143ebe-52da-43ca-b948-819768df23f3.3139a1a2-3ee4-429f-92bc-1577670b9917
https://store-images.s-microsoft.com/image/apps.30527.ce5b217d-4867-4a45-afc6-9ba1f7785b05.45143ebe-52da-43ca-b948-819768df23f3.3139a1a2-3ee4-429f-92bc-1577670b9917