Transform Data and Analytics ecosystem with Databricks unified analytics platform

Transform Data and Analytics ecosystem with Databricks unified analytics platform

Faster transformation of your analytics workloads to Databricks transformation

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Helping Organizations scale their Data and Analytics landscape

Organizations today have been impacted by the ability to scale data engineering and AI/ML solutions on enterprise-scale cloud data workloads. Hexaware is a preferred partner to Databricks, helping customers leverage this cloud-based unified data analytics platform. 

Databricks enables ingesting, processing, analyzing and sharing data across the business on a unified platform. The platform makes it easy for data scientists, data engineers and business analysts to collaborate and work together on projects in an interactive workspace.

Hexaware’s amaze® for Data & AI offering helps fast-track the transformation of analytics workloads hosted on legacy on-premise data warehouses like Oracle DB, SQL Server, Teradata, Exadata, Netezza, etc. to Databricks environment in a safe, secure and rapid manner.

Amaze® for Data & AI Ensures Business Continuity During transformation to Databricks by:

  • Enabling environment setup, Architecture & Design
  • Driving faster computation and transformation on PaaS based distributed Hadoop environment
  • Easily writing Spark based ELT with Azure Data Flow (In private preview)
  • Making data management jobs migration easier by integrating SSIS jobs or SQL scripts within Data Factory or SQL Server
  • Delivering data processing integration – Scala and PySpark
  • Sandbox setup and governance
  • Realizing ML solution setup, automation and execution
  • Speeding up migration from cloud native services (EMR, HDInsight)

Why Work With Us?

Hexaware is a Preferred Partner to Databricks with deep capabilities and a strategic focus on skill build.

What Sets us Apart:

  • Azure and AWS Databricks lab setup proof of concept
  • Integrates with platforms like Informatica, Talend
  • Automates impact assessment for the migration of existing R, Python code to run on Databricks
  • Automates code conversion
  • Designs PySpark code templates for conversion
  • Team of certified Databricks consultants
  • Tech and sales enablement programs

Business Examples

  • Helped a leading Stock Exchange firm build EDM platform on public cloud, leveraging Azure PaaS services such as SQL DB, Databricks
  • Helped a leading Mining firm migrate their analytics workloads hosted on Hadoop and Teradata ecosystem to Databricks and delivered use case based on Snowflake as a cloud warehouse

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