Today a Data Platform is expected to process and analyze a multitude of sources spanning batch files, streaming sources, backend databases, REST APIs, and more. There is clearly a need for standardizing the platform that scales and be flexible letting data engineers and data scientists focus on the business problems rather than managing the infrastructure and backend services. Another key aspect of the platform is multi-tenancy to isolate the workloads and able to track cost usage per tenant.
In this talk, Richa Singhal and Esha Shah will cover how to build a scalable Data Platform using Databricks and deploy your data pipelines effectively while managing the costs. The following topics will be covered:
Richa Singhal is a Senior Data Engineer at Atlassian building and deploying data pipelines enabling analytics and data science teams across Atlassian. She has 10+ years of experience building large-sc...
8+ years of experience in the data engineering space over finance and marketing domains. Currently managing data engineering pipeline initiatives across marketing, sales, and enterprise at Atlassian.