Accelerated migration to Spark

With LeapLogic, your transformation to Spark (Hadoop) will happen faster, with more accuracy, thanks to superior analysis, automation, and validation

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Explore the transformation potential in your business

/ Assessment
  • Say yes to key questions
  • Can I identify anti-patterns in my existing code and resolve as per Hadoop’s coding techniques and standards?
  • Will I know if I can meet my SLAs through Spark or if I need cloud-native warehouses?
  • Data warehouse
  • Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
  • ETL
  • Will my ETL processing SLAs impact my choice for an optimum Hadoop cluster size?
  • Analytics
  • Will it be beneficial to convert my analytical functions to Spark libraries?
/ transformation
  • Packaging and orchestration using Hadoop-native wrappers
  • Intelligent transformation engine, delivering up to 95% automation for:
  • Data warehouse – Hadoop (Spark SQL and HQL), Python/Scala/Java
  • ETL – Hadoop (Spark SQL and HQL), Python/Scala/Java, Amazon EMR/Azure HDInsight/Dataproc
  • Analytics – Hadoop (Spark SQL and HQL)
/ validation
  • All transformed data warehouse, ETL, analytics, and/or Hadoop workloads
  • Business logic (with a high degree of automation)
  • Cell-by-cell validation
  • Integration testing on enterprise datasets
/ operationalization
  • Capacity planning for optimal cost-performance ratio
  • Performance optimization
  • Robust cutover planning
  • Infrastructure as code
  • CI/CD
  • Data warehouse – Provisioning on Hadoop and Hive, and of other services for orchestration, monitoring, security etc.
  • ETL – Provisioning on Hadoop/Hive/Amazon EMR/Azure HDInsight/Dataproc
  • Analytics – Provisioning on Hadoop

Learn more about these benefits and best practices for cloud-native transformation


Explore resources to support your transformation initiatives

Case Study

Teradata cost optimization by transforming batch and ad hoc workloads to Hadoop

Case Study

Telecom giant saves millions with automated Teradata transformation to modern data platform


Modernize your Hadoop ecosystem: Strategies and recommendations for the cloud