How to Leverage Cloud Data Lakes for Improved Analytics & Decision Making

HyreCar Inc. (NASDAQ: HYRE) is a leading national carsharing marketplace for ridesharing, food, and package delivery via its proprietary technology platform. In 2020, the Company achieved incredible revenue growth of 59% compared with 2019. To unlock the success of their business, they embraced the importance of data by leveraging cloud data lakes. In this talk, HyreCar Inc. will share their successful user story of being a cloud data lake pioneer. They will start by discussing why they chose to move from on-premise to the cloud and how they reduced data warehousing costs by using Dremio Data Lake Storage. Then, they will explain the architecture of their cloud data lake using tools and technologies such as Dremio, Databricks, Superset and others. Finally, they will discuss how this modernization has enabled them to streamline and scale their data analytics capabilities. Cloud Data Lakes provide an effective way for companies like HyreCar Inc. to store and analyze massive amounts of structured and unstructured data at scale without compromising performance or security. Through the use of Data Lakehouses and Data Lake Engines such as Dremios technology, companies can quickly access insights from their ever-growing stores of raw data in order to make informed decisions that support business growth objectives. HyreCar Inc.s successful transition to a cloud-based system has proven that leveraging a modern Data Lake architecture is an excellent way to unlock business success through better analytics capabilities. By utilizing the most up-to-date tools such as Dremio Data Lake Storage, Databricks and Superset, HyreCar Inc was able to streamline its processes while reducing costs associated with traditional on-premise solutions. For other businesses looking to unlock success through better analytics capabilities, Cloud Data Lakes offer an efficient way to store and analyze vast amounts of structured or unstructured data at scale while maintaining high levels of performance and security standards. By investing in modern technologies such as Data Lakehouses and powerful engines like Dremios technology companies can glean meaningful insights from their ever-growing stores of raw data in order to make informed decisions that support business growth objectives more effectively than ever before! Connect with us! Twitter: https://bit.ly/30pcpE1 LinkedIn: https://bit.ly/2PoqsDq Facebook: https://bit.ly/2BV881V Community Forum: https://bit.ly/2ELXT0W Github: https://bit.ly/3go4dcM Blog: https://bit.ly/2DgyR9B Questions?: https://bit.ly/30oi8tX Website: https://bit.ly/2XmtEnN