Modern Data Engineering Bootcamp
Gain a competitive edge in the business landscape by embracing the data-driven revolution. Join our exclusive Azure Databricks Bootcamps tailored for business professionals. Led by experts from Explora, Databricks, and Microsoft, these curated bootcamps unveil the potential of a Data Lakehouse—an innovative open data architecture combining data warehouses and lakes into a unified platform.Learn to create a collaborative environment for easy data access, visibility, and reproducibility. Witness tangible benefits through practical demonstrations using real-world data. Master the utilization of your Data Lake to unlock powerful analytical insights, empowering your data teams to scale operations effectively.
Don't miss the opportunity to become a data-driven organization. Join our Azure Databricks Bootcamps and embark on a journey towards data-driven success!
(In-person) Modern Data Engineering Bootcamp: Build a Reliable and Scalable Modern Data Architecture
6 Dec, 2023 | 10:00 AM HKT (2 hrs)
Experience an engaging and interactive hands-on lab session focused on exploring industry-leading practices that empower organisations to leverage robust open-source technologies. Join us as we delve into the strategies for building and extending your Azure investments, unlocking the true potential of your Data Lake and transforming it into an analytics-ready powerhouse.
- Learn how to construct scalable and reliable data pipelines for advanced analytics by leveraging the state-of-the-art capabilities offered by open-source Delta Lake technology.
- Acquire comprehensive expertise in effortlessly integrating data with crucial Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure DevOps, and Power BI.
* Language: Cantonese
* Location: Hong Kong Academy Of Institute | Room 501, 5th Floor, Zhongshang Art Building, 9 Queen Victoria Street, Central, Hong Kong ( Near Central Market )
香港管理學院 | 香港中環域多利皇后街9號, 5樓, 501室,中商藝術大廈
* Remarks: please bring your own laptop to the bootcamps
Event Co-Sponsor: Databricks