Building Data Lake on AWS and GCP

Embark on a transformative journey to construct robust enterprise data lakes on AWS and GCP with Ranjit, CTO at Sears. This webinar guides you through leveraging cloud capabilities to amalgamate, manage, and derive actionable insights from vast data sources, ensuring your organization stays ahead in the data-driven digital age.

What You’ll Learn:

  1. Introduction to Sears and Data Lakes:
    • Discover the expertise of Sears in cloud and AML solutions and understand the fundamental concept of data lakes as centralized repositories for all types of data.
  2. The Evolution of Data Management:
    • Learn about the transition from traditional data warehouses to modern data lakes, addressing challenges like data silos, discoverability, and the need for advanced analytics.
  3. Building Data Lakes on GCP:
    • Explore how to leverage Google Cloud Storage, along with a suite of GCP services, for data ingestion, cataloging, search, and processing to construct a comprehensive data lake.
  4. Data Lakes on AWS:
    • Dive into constructing data lakes on AWS, utilizing S3, AWS Glue, and other AWS services to ingest, catalog, secure, and analyze data efficiently.
  5. Case Studies:
    • Gain insights from real-world applications of data lakes in renewable energy and B2B e-commerce sectors, showcasing the benefits of cloud platforms in enhancing data accessibility and analytics.
  6. Tools and Technologies:
    • Understand the role of various cloud services, including Cloud IoT Core, Dataflow, BigQuery, and Lake Formation, in facilitating seamless data management and analytics.

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