Driving Better Analytics Using Cloud Data Lakes

HyreCar Inc. (NASDAQ: HYRE) is a leading national carsharing marketplace for ridesharing, food, and package delivery via its proprietary technology platform. The Company has established a leading presence in Mobility as a Service (MaaS) and achieved incredible revenue growth over the years, the full year 2020 revenue increased 59% compared with 2019.What holds the keys to unlocking our business success? Certainly data plays an important role. In this talk, we want to share our successful user story of being a cloud data lake pioneer. We will share data ecosystem we build that empowers the rapid growth of the business.We will start by sharing how and why we decided to move from on-prem to the cloud and how we reduced data warehoused loads and costs by leveraging Dremio data lake storage. Then we will talk about cloud data lake architecture we build by setting up architecture from different layers and leveraging different tools and technologies such as Dremio, Databricks, Superset and other tools. In addition, we want to share how this modernize our data analytics and make it more streamlined and scalable.

Topics Covered

Apache Superset
Business Intelligence
Data Lake Engines
Dremio Subsurface for Apache Spark
Subsurface: Dremio Insights
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Enable the business to create and consume data products powered by Apache Iceberg, accelerating AI and analytics initiatives and dramatically reducing costs.