Data Lake vs.
Data Warehouse

A Modern Data Strategy Debate

Thursday, April 7, 2022 | 3PM – 4PM SGT

Today, organizations are becoming more data-driven by using their data to build new products, stay ahead of the competition and provide better customer experiences. As a result, data management and processing it for various stakeholders needs to be fast, automated, and scalable.

Organisations currently collect and process data in a manner that allows them to make the decision making process simpler, helping them gaze at the past, manage the present and predict the future. Data warehouse supports analysis of operational system data for BI, while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis.

The question is: does your business need both and why?

Why should you attend

  • Compare and contrast the role data lakes and data warehouses play for your individual use cases
  • Understand the role of Data Lake and Data Warehouse in modern data architecture
  • Understand best practices for data lake management, operations, and financial governance
  • Fast-track your data pipelines, streaming analytics and machine learning initiatives
  • See how leading companies are using data lakes to power innovation

WHO SHOULD ATTEND

CTOs, VPs, Directors, Heads & Managers of

  • Data Platform
  • Data Architecture
  • Data Engineering
  • Enterprise Architecture
  • Data Science

Register for the session

Thursday, April 7, 2022 | 3PM – 4PM SGT

    *Please note that by registering to attend, you acknowledge and agree that the presenting partners can contact you with the contact information you have provided for their own marketing purposes