Learn How to Use HashiCorp to Create Query Engines as Code

In an increasingly data-driven world, companies are turning to data lakes as a core element of their data strategy. Data lakes offer scalability, low cost, and high availability, making them ideal for large datasets of any kind. However, running analytics and queries directly on the data lake can be slow and deploying complex applications can take a long time. Dremio is revolutionizing access to the data lake with open source technologies such as Apache Arrow. This makes it possible to run lightning fast queries directly on the data stored in the lake. Data warehouses, ETL processes, cubes and extracts become unnecessary as analysts and consumers are empowered via the semantic layer to intuitively find and analyze needed data without having to make costly decisions about data selection or aggregation beforehand. This is where HashiCorp comes in – capturing the lifecycle of hundreds or thousands of different applications or workloads into one unified workflow. Terraform is the world’s most popular tool for infrastructure provisioning using Infrastructure as Code (IaC). In this webinar we will show how easy it is to automate and reproduce complex applications like Dremio using Terraform. This automates and manages the lifecycle of all required resources holistically. By using HashiCorp's query engine as code with Dremio's Data Lakehouse technology, businesses can quickly build out their own private cloud for their data warehouse needs without needing to invest time or money into more traditional methods such as managing a physical server or using a third-party cloud provider. With query engine as code, businesses can easily create a secure environment that meets their specific requirements while also reducing costs associated with storage and maintenance of their data warehouse infrastructure. By leveraging these tools together, organizations can save time and money while also improving performance when it comes to analyzing large datasets stored in their data lake. 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

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