Building data products

Emerging challenges and approaches

Overview

Businesses today have big data to derive insights and make informed decisions. The number of data use-cases have also grown in the enterprise, and organizations are seeking answers to newer questions. We are seeing an emerging landscape for Data Products with their own associated challenges - operational processes, growth, cost optimization, prediction, causal analysis and customer expectation.

The flow of data from the sources, across the pipelines with their transformations and final storage are becoming crucial for the business.

Topics

What are the current trends in data ingest, transformation and storage?

  • What differences do you see between data warehouse, data lake and
    other means of storage?
  • How are you handling the increasing volume of data?

What are the challenges faced in the data pipelines?

  • How are your pipelines defined and scaled today?
  • Do you prefer streaming in the pipeline spectrum?

Who should participate

  • Software/IT architects
  • Product Managers
  • Data Engineers
  • Backend Developers
  • Database Administrators
  • Solution Architects

Hosted by

All about data science and machine learning

Overview

Businesses today have big data to derive insights and make informed decisions. The number of data use-cases have also grown in the enterprise, and organizations are seeking answers to newer questions. We are seeing an emerging landscape for Data Products with their own associated challenges - operational processes, growth, cost optimization, prediction, causal analysis and customer expectation.

The flow of data from the sources, across the pipelines with their transformations and final storage are becoming crucial for the business.

Topics

What are the current trends in data ingest, transformation and storage?

  • What differences do you see between data warehouse, data lake and
    other means of storage?
  • How are you handling the increasing volume of data?

What are the challenges faced in the data pipelines?

  • How are your pipelines defined and scaled today?
  • Do you prefer streaming in the pipeline spectrum?

Who should participate

  • Software/IT architects
  • Product Managers
  • Data Engineers
  • Backend Developers
  • Database Administrators
  • Solution Architects

Hosted by

All about data science and machine learning