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    Databricks Lakehouse Jumpstart

     Info
    Sold by: zeb 
    Our Databricks Delta Lakehouse Jumpstart solution provides a comprehensive platform to modernize your data infrastructure, streamline operations, and unlock the potential of AI and machine learning. Designed for rapid implementation, this solution enables businesses to transition seamlessly from legacy systems to a robust data lakehouse architecture, driving operational efficiency and ROI.
    Listing Thumbnail

    Databricks Lakehouse Jumpstart

     Info
    Sold by: zeb 

    Overview

    As an AWS Premium Tier Partner, zeb is excited to present our Data Lakehouse Jumpstart program on the AWS Marketplace. This solution offers an opportunity to assess your existing data platforms and transition them to a cloud-based data solution on AWS and Databricks, rapidly demonstrating the value of the solution and a roadmap for future initiatives.

    Key Features

    Reporting and Analytics Ready

    • AI/BI Genie enables business users to interact with data using natural language, eliminating the need for technical expertise in BI tools or SQL.
    • Offers self-service analytics, allowing users to ask questions, generate visualizations, and gain insights instantly while maintaining governance through Unity Catalog.

    Optimized Cluster and Resource Management

    • Improves resource utilization through predictive optimization techniques such as Liquid Clustering and Autoscaling.
    • Leads to faster processing times and improved user experiences.

    AI and ML Foundation

    • The Databricks Lakehouse solution built on AWS provides a unified platform for AI and analytics, combining the scalability of data lakes with the performance of data warehouses.
    • Supports end-to-end workflows for ETL, machine learning, and BI, powered by features like Delta Lake and MLflow.
    • Ensures seamless integration of AI workloads with analytics, enabling organizations to unlock deeper insights and drive innovation.

    Data Security & Governance

    • Provides robust data governance solutions for effective management and control of data stored and processed in the cloud via Unity Catalog.
    • Implements policies and procedures for data access control, encryption, monitoring, and compliance.

    Deliverables

    Tailor-made Medallion Architecture

    • Bronze (raw), Silver (validated), and Gold (enriched) layers progressively improve data quality and reliability.
    • Supports efficient analytics, machine learning applications, and business intelligence workflows, ensuring a single source of truth for enterprise data while maintaining scalability and performance.

    Future-state Architecture Diagram

    • Outlines the planned technological framework and AWS components envisioned for implementation.

    Genie and Unity Catalog Implementation

    • Unity Catalog provides centralized governance with fine-grained access controls, ensuring security and compliance across all data assets.
    • AI/BI Genie leverages natural language processing to enable conversational analytics, democratizing data access and simplifying reporting use cases.
    • Together, these services enhance usability and governance within the Delta Lakehouse environment.

    Estimating Total Cost of Ownership (TCO)

    • Utilize our pre-configured AWS Pricing Calculator for precise projection of operational expenses linked with the proposed solution on AWS and Databricks.

    Established Data Foundation using AWS and Databricks

    • The Data Foundation Layer in the Databricks Delta Lakehouse forms the base for organizing and managing raw data efficiently.
    • Ensures reliable ingestion from legacy systems like SQL Server or Oracle into Delta Lake, supporting schema enforcement and evolution.
    • Provides a scalable, unified platform to enable seamless ETL pipelines and future-ready AI/ML use cases.

    Timeline

    The Data Lakehouse Jumpstart program is expected to last around 4-5 weeks, subject to the availability of your project sponsors and technical teams.

    Next Steps

    Our typical next steps involve:

    1. Showcasing our previously implemented solutions.
    2. Submitting a proposal for implementation services, including:
      • Future-state architecture recommendations
      • Technical design and implementation
      • Testing
      • Production cut-over

    Get in touch with us today to kickstart your data transformation journey!

    Highlights

    • Prebuilt AI-Powered Migration Accelerators to Transition to Databricks: AI-powered migration accelerators, from zeb's frameworks automate the migration process by converting, validating, and correcting code from legacy systems to Databricks. These tools reduce migration time and costs by up to 60% while minimizing risks like data loss or downtime. By leveraging generative AI, organizations can ensure consistent results and focus on business-driven use cases.
    • Demo Migration Accelerators Upfront to the Customer: Demonstrating the Databricks environment upfront allows customers to experience its capabilities, including seamless migration tools, governance frameworks, and analytics features. This transparency builds confidence by showcasing ease of use, TCO benefits, and the platform's ability to address specific business needs effectively.

    Details

    Sold by

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    To speak with zeb regarding the details of this offering, please contact us via email at sales@zeb.co  or visit our web site (https://zeb.co ) for more information.