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ABOUT THIS EVENT

    • Why join: Organizations can gain richer and deeper insights by bringing together all relevant data from different sources for analysis. However, as this data continues to grow, it becomes harder to move it all around and extract value.

      To help businesses overcome this issue, AWS introduced a Lake House approach on Amazon Redshift. This new architectural approach to data platform design allows breaking exabytes of data out of a single solution into an ecosystem of collaborating products.

      On Thursday, August 26th, SoftServe’s Big Data Engineer, Yulia Sholohon, and AWS Principal Analytics Specialist, Dilip Kikla will demystify the Lake House concept and uncover a cost-saving opportunity that Amazon Redshift presents for next-gen data warehouses.

      In this digital event, we’ll discuss the characteristic features of Lake House solutions, how they are implemented in the latest Amazon Redshift version, and what value can an enterprise get from migrating a legacy Data Warehouse to a modern platform.

      Join us to learn about an efficient way to modernize your Data Warehouse while reducing its cost and increasing usability.


AGENDA

  • The rise of the Lake House concept: and what it’s about
  • Distinguishing between Lake House, data lake, and data warehouse
  • •  AWS Analytics portfolio for Lake House implementation
  • Amazon Redshift’s place and purpose in Lake Houses
  • What the Lake House approach means for legacy data warehouse migrations

OUR SPEAKERS

  • Rodion
    Myronov

    Data Architect and Consultant

    photo-rodion-myronovrmyro@softserveinc.com

     

    Rodion Myronov has nearly 20 years of data technology experience. Beginning with FoxPro2.6 for DOS, he followed the traditional route of becoming an MS SQL Server and Oracle developer, DBA, and trainer before becoming a team leader and independent consultant. Rodion has also worked on data warehousing and ETL projects based on Redshift, Hadoop, Big Query, and Netezza. He’s collaborated on multiple projects as an architect and consultant, including data lake and data warehouse systems design, assessments, and complex migrations as well as developing data governance frameworks. Today, Rodion manages the direction of AWS projects within SoftServe’s Big Data and Analytics Center of Excellence.

  • Roy 
    Hasson

    WW Analytics Specialist

    photo-roy-hasson

    Roy Hasson is WW Analytics Specialist leader at Amazon Web Services, where he helps transform organizations using data, analytics and machine learning. Roy serves as an expert advisor to customers across all industries to transform their business and become a data driven organization by building a cloud native modern data architecture on AWS. He is also a product leader driven by voice-of-the-customer to guide the development of new innovative services and user experiences for AWS. Prior to AWS, Roy spent 15 years working with tier 1 service providers to design and deploy large scale data systems used to serve today’s cable modem, voice over IP and wireless data services.

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