Unifying Data for Data Applications with the Data Lakehouse

Building data applications comes with significant challenges, from managing the high costs of traditional data systems to wrangling data spread across multiple platforms and optimizing performance at scale. In this talk, we will explore the complexities developers face when creating modern data applications and how data lakehouse technologies are transforming the landscape. We'll discuss the role of tools like Apache Iceberg, Dremio, Apache Arrow, and more in unifying data, enabling seamless access, and ensuring scalable performance.

Join us as we uncover how the data lakehouse architecture simplifies development, reduces operational costs, and delivers the performance needed to power today's datadriven applications.

About Alex Merced

Alex Merced is a Senior Tech Evangelist for Dremio and has worked as a developer and instructor for companies like GenEd Systems, Crossfield Digital, CampusGuard and General Assembly.

Alex is passionate about technology and has put out tech content on outlets such as blogs, videos and his podcasts Datanation and Web Dev 101. Alex Merced has contributed a variety of libraries in the Javascript & Python worlds including SencilloDB, CoquitoJS, dremio-simple-query and more.

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