On Demand Webinar

Agile Data Lakehouse: An Iterative Approach to Enterprise Data Lake-house Deployment

Unleashing Synthetic Data

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Welcome to our webinar on Agile Data Lakehouse deployment! Discover the power of a staged approach to Lakehouse-based data analytics and learn how it can revolutionize your enterprise data strategy. This webinar will provide insights into the iterative nature of the process, highlighting the business involvement and value at each stage. We will also explore how this approach leads to incremental robustness, speed, and governance, making it a game-changer for your data initiatives.

Webinar Highlights

  • Staged Approach to Lakehouse based Data Analytics:
    • Learn about the step-by-step process of deploying a data lakehouse using an Agile methodology.
    • Understand the benefits of breaking down the implementation into stages and how it enhances flexibility and adaptability.
    • Discover the best practices and strategies for each stage to ensure a successful deployment.
  • Business Involvement and Value at Each Stage:
    • Gain insights into the importance of business involvement throughout the data lakehouse deployment.
    • Understand how each stage of the process contributes to generating business value and driving decision-making.
    • Discover practical examples and case studies showcasing the impact of business engagement in driving successful data initiatives.
  • Incremental Robustness, Speed & Governance:
    • Explore the advantages of an iterative approach in achieving incremental robustness in your data lakehouse.
    • Learn how an Agile methodology improves speed and time-to-insights by enabling faster iterations and feedback loops.
    • Understand the importance of governance throughout the process and discover strategies to maintain data integrity and compliance.
  • Growing Data-Product Catalog in Data-Mesh Architecture:
    • Uncover the potential of a data-mesh architecture in building a comprehensive and scalable data-product catalog.
    • Learn how a data-mesh approach enables data democratization and empowers teams to build and manage their own data products.
    • Discover real-world examples of successful data-mesh implementations and the benefits they bring to the organization.

Don't miss this opportunity to gain valuable insights from industry experts and learn how to implement an Agile Data Lakehouse deployment for improved analytics and data-driven decision-making.

application development services,software development,full stack development

Speakers

Greg Engen – President

Greg is an accomplished senior marketing and management leader with deep experience in leading data analytics, technology, and performance marketing teams.

He too brings to Contata his 20+ years of success in diving large scale, data and analytics, digital marketing, brand strategy, CRM, and technology initiatives. Recognized as an innovation and strategy thought leader with a track record of driving revenue growth for global Fortune 500 companies.

Dhruv Joshi – Senior Technical Manager

Dhruv Joshi is a Senior Technical Manager at Contata Solutions, possessing over 15 years of experience in data science and engineering. Dhruv brings extensive expertise in architecting innovative solutions for leading cloud platforms, such as Google and Microsoft.

Proficient in Java, C#, Python, JS, SQL, Spark, Terraform, Cosmos DB, and Power BI, Dhruv leverages these technologies to design robust and scalable data solutions for clients, enabling them to obtain comprehensive, data-driven insights into their business.